Overview

Dataset statistics

Number of variables8
Number of observations309
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.7 KiB
Average record size in memory65.4 B

Variable types

Numeric1
Text5
Categorical2

Dataset

Description부산광역시_사상구_진단용방사선발생장치운영현황_20210622
Author부산광역시 사상구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15025889

Alerts

번호 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:30:02.633146
Analysis finished2023-12-10 16:30:03.268824
Duration0.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct309
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean155
Minimum1
Maximum309
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2023-12-11T01:30:03.350376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile16.4
Q178
median155
Q3232
95-th percentile293.6
Maximum309
Range308
Interquartile range (IQR)154

Descriptive statistics

Standard deviation89.344838
Coefficient of variation (CV)0.57641831
Kurtosis-1.2
Mean155
Median Absolute Deviation (MAD)77
Skewness0
Sum47895
Variance7982.5
MonotonicityStrictly increasing
2023-12-11T01:30:03.521701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
205 1
 
0.3%
212 1
 
0.3%
211 1
 
0.3%
210 1
 
0.3%
209 1
 
0.3%
208 1
 
0.3%
207 1
 
0.3%
206 1
 
0.3%
204 1
 
0.3%
Other values (299) 299
96.8%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
309 1
0.3%
308 1
0.3%
307 1
0.3%
306 1
0.3%
305 1
0.3%
304 1
0.3%
303 1
0.3%
302 1
0.3%
301 1
0.3%
300 1
0.3%

의료기관명
Text

Distinct129
Distinct (%)41.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2023-12-11T01:30:03.901824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length9.605178
Min length3

Characters and Unicode

Total characters2968
Distinct characters186
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

Unique39 ?
Unique (%)12.6%

Sample

1st row우리탑치과의원
2nd row우리탑치과의원
3rd row나상옥신경과의원
4th row재원메디컬의원
5th row재원메디컬의원
ValueCountFrequency (%)
의료법인은성의료재단좋은삼선병원 26
 
7.0%
부산보훈병원 18
 
4.9%
한국보훈복지의료공단 18
 
4.9%
의료법인 12
 
3.2%
의료법인센텀의료재단 9
 
2.4%
서부산센텀병원 9
 
2.4%
의료법인영재의료재단 6
 
1.6%
큰솔병원 6
 
1.6%
부영병원 5
 
1.4%
신모라치과의원 4
 
1.1%
Other values (132) 257
69.5%
2023-12-11T01:30:04.423707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 359
 
12.1%
원 311
 
10.5%
과 198
 
6.7%
료 136
 
4.6%
치 132
 
4.4%
병 97
 
3.3%
단 79
 
2.7%
재 77
 
2.6%
인 74
 
2.5%
부 74
 
2.5%
Other values (176) 1431
48.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2900
97.7%
Space Separator 61
 
2.1%
Decimal Number 4
 
0.1%
Lowercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 359
 
12.4%
원 311
 
10.7%
과 198
 
6.8%
료 136
 
4.7%
치 132
 
4.6%
병 97
 
3.3%
단 79
 
2.7%
재 77
 
2.7%
인 74
 
2.6%
부 74
 
2.6%
Other values (173) 1363
47.0%
Space Separator
ValueCountFrequency (%)
61
100.0%
Decimal Number
ValueCountFrequency (%)
2 4
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2900
97.7%
Common 65
 
2.2%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 359
 
12.4%
원 311
 
10.7%
과 198
 
6.8%
료 136
 
4.7%
치 132
 
4.6%
병 97
 
3.3%
단 79
 
2.7%
재 77
 
2.7%
인 74
 
2.6%
부 74
 
2.6%
Other values (173) 1363
47.0%
Common
ValueCountFrequency (%)
61
93.8%
2 4
 
6.2%
Latin
ValueCountFrequency (%)
e 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2900
97.7%
ASCII 68
 
2.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 359
 
12.4%
원 311
 
10.7%
과 198
 
6.8%
료 136
 
4.7%
치 132
 
4.6%
병 97
 
3.3%
단 79
 
2.7%
재 77
 
2.7%
인 74
 
2.6%
부 74
 
2.6%
Other values (173) 1363
47.0%
ASCII
ValueCountFrequency (%)
61
89.7%
2 4
 
5.9%
e 3
 
4.4%

의료기관종별
Categorical

Distinct10
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
치과의원
125 
의원
83 
종합병원
44 
병원
31 
요양병원(일반요양병원)
 
12
Other values (5)
14 

Length

Max length12
Median length4
Mean length3.5631068
Min length2

Unique

Unique2 ?
Unique (%)0.6%

Sample

1st row치과의원
2nd row치과의원
3rd row의원
4th row의원
5th row의원

Common Values

ValueCountFrequency (%)
치과의원 125
40.5%
의원 83
26.9%
종합병원 44
 
14.2%
병원 31
 
10.0%
요양병원(일반요양병원) 12
 
3.9%
정신병원 5
 
1.6%
치과병원 4
 
1.3%
보건소 3
 
1.0%
한방병원 1
 
0.3%
부속의원 1
 
0.3%

Length

2023-12-11T01:30:04.611412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:30:04.786143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
치과의원 125
40.5%
의원 83
26.9%
종합병원 44
 
14.2%
병원 31
 
10.0%
요양병원(일반요양병원 12
 
3.9%
정신병원 5
 
1.6%
치과병원 4
 
1.3%
보건소 3
 
1.0%
한방병원 1
 
0.3%
부속의원 1
 
0.3%

장치명칭
Categorical

Distinct9
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
진단용 엑스선 발생기
92 
진단용 엑스선 장치
79 
치과진단용 엑스선 발생장치
68 
전산화 단층 촬영장치
38 
치과용 전산화 단층 촬영장치
17 
Other values (4)
15 

Length

Max length15
Median length14
Mean length11.478964
Min length7

Unique

Unique2 ?
Unique (%)0.6%

Sample

1st row치과진단용 엑스선 발생장치
2nd row전산화 단층 촬영장치
3rd row진단용 엑스선 발생기
4th row진단용 엑스선 발생기
5th row진단용 엑스선 장치

Common Values

ValueCountFrequency (%)
진단용 엑스선 발생기 92
29.8%
진단용 엑스선 장치 79
25.6%
치과진단용 엑스선 발생장치 68
22.0%
전산화 단층 촬영장치 38
12.3%
치과용 전산화 단층 촬영장치 17
 
5.5%
유방촬영용장치 7
 
2.3%
유방촬영용 장치 6
 
1.9%
디지털진단용엑스선촬영장치 1
 
0.3%
유방촬영용 장치 등 1
 
0.3%

Length

2023-12-11T01:30:04.984191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:30:05.150183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
엑스선 239
25.9%
진단용 171
18.5%
발생기 92
 
10.0%
장치 86
 
9.3%
치과진단용 68
 
7.4%
발생장치 68
 
7.4%
전산화 55
 
6.0%
단층 55
 
6.0%
촬영장치 55
 
6.0%
치과용 17
 
1.8%
Other values (4) 16
 
1.7%

장치모델명
Text

Distinct174
Distinct (%)56.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2023-12-11T01:30:05.570710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length35
Mean length10.236246
Min length3

Characters and Unicode

Total characters3163
Distinct characters76
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique116 ?
Unique (%)37.5%

Sample

1st rowSTAR-X
2nd roweco-x
3rd rowDEXXUM T Quantum
4th rowDEXXUM T
5th rowFOREXIA-H3
ValueCountFrequency (%)
dexxum 15
 
3.1%
t 15
 
3.1%
pht-35lhs 13
 
2.7%
max-gls 12
 
2.5%
pro 11
 
2.3%
3d 10
 
2.1%
zen-2090 8
 
1.7%
accuray 8
 
1.7%
esx 8
 
1.7%
gxr-40s 7
 
1.5%
Other values (220) 375
77.8%
2023-12-11T01:30:06.243997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 213
 
6.7%
- 202
 
6.4%
174
 
5.5%
X 158
 
5.0%
S 133
 
4.2%
R 114
 
3.6%
5 109
 
3.4%
E 107
 
3.4%
D 104
 
3.3%
P 97
 
3.1%
Other values (66) 1752
55.4%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1427
45.1%
Lowercase Letter 742
23.5%
Decimal Number 585
18.5%
Dash Punctuation 202
 
6.4%
Space Separator 174
 
5.5%
Other Punctuation 13
 
0.4%
Open Punctuation 6
 
0.2%
Close Punctuation 6
 
0.2%
Letter Number 4
 
0.1%
Other Letter 3
 
0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
X 158
 
11.1%
S 133
 
9.3%
R 114
 
8.0%
E 107
 
7.5%
D 104
 
7.3%
P 97
 
6.8%
A 91
 
6.4%
T 72
 
5.0%
M 68
 
4.8%
O 61
 
4.3%
Other values (16) 422
29.6%
Lowercase Letter
ValueCountFrequency (%)
o 86
11.6%
i 80
10.8%
a 65
 
8.8%
r 58
 
7.8%
e 54
 
7.3%
t 47
 
6.3%
s 43
 
5.8%
l 40
 
5.4%
n 36
 
4.9%
c 34
 
4.6%
Other values (15) 199
26.8%
Decimal Number
ValueCountFrequency (%)
0 213
36.4%
5 109
18.6%
3 72
 
12.3%
2 69
 
11.8%
1 48
 
8.2%
6 28
 
4.8%
8 18
 
3.1%
4 12
 
2.1%
9 10
 
1.7%
7 6
 
1.0%
Other Punctuation
ValueCountFrequency (%)
/ 7
53.8%
& 3
23.1%
. 2
 
15.4%
, 1
 
7.7%
Other Letter
ValueCountFrequency (%)
제 1
33.3%
우 1
33.3%
스 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 5
83.3%
[ 1
 
16.7%
Close Punctuation
ValueCountFrequency (%)
) 5
83.3%
] 1
 
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 202
100.0%
Space Separator
ValueCountFrequency (%)
174
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 4
100.0%
Other Symbol
ValueCountFrequency (%)
™ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2172
68.7%
Common 987
31.2%
Hangul 3
 
0.1%
Greek 1
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
X 158
 
7.3%
S 133
 
6.1%
R 114
 
5.2%
E 107
 
4.9%
D 104
 
4.8%
P 97
 
4.5%
A 91
 
4.2%
o 86
 
4.0%
i 80
 
3.7%
T 72
 
3.3%
Other values (41) 1130
52.0%
Common
ValueCountFrequency (%)
0 213
21.6%
- 202
20.5%
174
17.6%
5 109
11.0%
3 72
 
7.3%
2 69
 
7.0%
1 48
 
4.9%
6 28
 
2.8%
8 18
 
1.8%
4 12
 
1.2%
Other values (11) 42
 
4.3%
Hangul
ValueCountFrequency (%)
제 1
33.3%
우 1
33.3%
스 1
33.3%
Greek
ValueCountFrequency (%)
α 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3154
99.7%
Number Forms 4
 
0.1%
Hangul 3
 
0.1%
None 1
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 213
 
6.8%
- 202
 
6.4%
174
 
5.5%
X 158
 
5.0%
S 133
 
4.2%
R 114
 
3.6%
5 109
 
3.5%
E 107
 
3.4%
D 104
 
3.3%
P 97
 
3.1%
Other values (60) 1743
55.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 4
100.0%
None
ValueCountFrequency (%)
α 1
100.0%
Letterlike Symbols
ValueCountFrequency (%)
™ 1
100.0%
Hangul
ValueCountFrequency (%)
제 1
33.3%
우 1
33.3%
스 1
33.3%

장치형식명
Text

Distinct127
Distinct (%)41.1%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2023-12-11T01:30:06.542304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length9.5889968
Min length6

Characters and Unicode

Total characters2963
Distinct characters31
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique74 ?
Unique (%)23.9%

Sample

1st rowD-6-65
2nd rowCBCT(P)-10-90
3rd rowBHR-3-83
4th rowBHR-1.5-83
5th rowR-500-125
ValueCountFrequency (%)
r-500-125 41
 
13.2%
hr-60-p 13
 
4.2%
d-60-p 12
 
3.9%
hrf-110-p 11
 
3.5%
cbct(p)-16-99 10
 
3.2%
d-10-60 8
 
2.6%
dp-90-p 7
 
2.3%
r-630-150 6
 
1.9%
bhr-1.5-83 6
 
1.9%
d-65-p 6
 
1.9%
Other values (117) 190
61.3%
2023-12-11T01:30:06.974942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 656
22.1%
0 435
14.7%
1 268
9.0%
5 192
 
6.5%
R 191
 
6.4%
P 186
 
6.3%
H 109
 
3.7%
6 102
 
3.4%
C 101
 
3.4%
2 98
 
3.3%
Other values (21) 625
21.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1314
44.3%
Uppercase Letter 880
29.7%
Dash Punctuation 656
22.1%
Close Punctuation 49
 
1.7%
Open Punctuation 49
 
1.7%
Other Punctuation 13
 
0.4%
Lowercase Letter 1
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
R 191
21.7%
P 186
21.1%
H 109
12.4%
C 101
11.5%
D 88
10.0%
T 60
 
6.8%
B 59
 
6.7%
F 46
 
5.2%
M 16
 
1.8%
W 10
 
1.1%
Other values (5) 14
 
1.6%
Decimal Number
ValueCountFrequency (%)
0 435
33.1%
1 268
20.4%
5 192
14.6%
6 102
 
7.8%
2 98
 
7.5%
9 84
 
6.4%
3 64
 
4.9%
8 32
 
2.4%
4 20
 
1.5%
7 19
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 656
100.0%
Close Punctuation
ValueCountFrequency (%)
) 49
100.0%
Open Punctuation
ValueCountFrequency (%)
( 49
100.0%
Other Punctuation
ValueCountFrequency (%)
. 13
100.0%
Lowercase Letter
ValueCountFrequency (%)
s 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2082
70.3%
Latin 881
29.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
R 191
21.7%
P 186
21.1%
H 109
12.4%
C 101
11.5%
D 88
10.0%
T 60
 
6.8%
B 59
 
6.7%
F 46
 
5.2%
M 16
 
1.8%
W 10
 
1.1%
Other values (6) 15
 
1.7%
Common
ValueCountFrequency (%)
- 656
31.5%
0 435
20.9%
1 268
12.9%
5 192
 
9.2%
6 102
 
4.9%
2 98
 
4.7%
9 84
 
4.0%
3 64
 
3.1%
) 49
 
2.4%
( 49
 
2.4%
Other values (5) 85
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2963
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 656
22.1%
0 435
14.7%
1 268
9.0%
5 192
 
6.5%
R 191
 
6.4%
P 186
 
6.3%
H 109
 
3.7%
6 102
 
3.4%
C 101
 
3.4%
2 98
 
3.3%
Other values (21) 625
21.1%

전화번호
Text

Distinct129
Distinct (%)41.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2023-12-11T01:30:07.262846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.76699
Min length8

Characters and Unicode

Total characters3636
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

Unique39 ?
Unique (%)12.6%

Sample

1st row051-313-2804
2nd row051-313-2804
3rd row051-323-6226
4th row051-305-7588
5th row051-305-7588
ValueCountFrequency (%)
051-322-0900 26
 
8.4%
051-601-6000 18
 
5.8%
051-329-3000 9
 
2.9%
051-325-9700 6
 
1.9%
051-320-6800 5
 
1.6%
051-305-7588 4
 
1.3%
051-301-8275 4
 
1.3%
051-322-2875 4
 
1.3%
051-311-0100 4
 
1.3%
051-328-1745 4
 
1.3%
Other values (119) 225
72.8%
2023-12-11T01:30:07.745386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 680
18.7%
- 600
16.5%
1 537
14.8%
5 464
12.8%
2 396
10.9%
3 378
10.4%
7 165
 
4.5%
8 152
 
4.2%
9 101
 
2.8%
6 100
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3036
83.5%
Dash Punctuation 600
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 680
22.4%
1 537
17.7%
5 464
15.3%
2 396
13.0%
3 378
12.5%
7 165
 
5.4%
8 152
 
5.0%
9 101
 
3.3%
6 100
 
3.3%
4 63
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 600
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3636
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 680
18.7%
- 600
16.5%
1 537
14.8%
5 464
12.8%
2 396
10.9%
3 378
10.4%
7 165
 
4.5%
8 152
 
4.2%
9 101
 
2.8%
6 100
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3636
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 680
18.7%
- 600
16.5%
1 537
14.8%
5 464
12.8%
2 396
10.9%
3 378
10.4%
7 165
 
4.5%
8 152
 
4.2%
9 101
 
2.8%
6 100
 
2.8%

의료기관주소(도로명)
Text

Distinct127
Distinct (%)41.1%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2023-12-11T01:30:08.064321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length48
Mean length28.841424
Min length21

Characters and Unicode

Total characters8912
Distinct characters137
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

Unique37 ?
Unique (%)12.0%

Sample

1st row부산광역시 사상구 가야대로 290, 4층 (주례동)
2nd row부산광역시 사상구 가야대로 290, 4층 (주례동)
3rd row부산광역시 사상구 가야대로 274-3, 5~7층 (주례동)
4th row부산광역시 사상구 사상로 236, 5,6층 (괘법동)
5th row부산광역시 사상구 사상로 236, 5,6층 (괘법동)
ValueCountFrequency (%)
부산광역시 309
17.0%
사상구 309
17.0%
주례동 88
 
4.8%
사상로 63
 
3.5%
괘법동 62
 
3.4%
가야대로 59
 
3.2%
학장동 46
 
2.5%
백양대로 42
 
2.3%
엄궁동 36
 
2.0%
모라동 35
 
1.9%
Other values (192) 768
42.3%
2023-12-11T01:30:08.560759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1508
 
16.9%
상 394
 
4.4%
동 376
 
4.2%
사 375
 
4.2%
부 321
 
3.6%
광 320
 
3.6%
산 317
 
3.6%
시 315
 
3.5%
( 311
 
3.5%
) 311
 
3.5%
Other values (127) 4364
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5207
58.4%
Space Separator 1508
 
16.9%
Decimal Number 1236
 
13.9%
Open Punctuation 311
 
3.5%
Close Punctuation 311
 
3.5%
Other Punctuation 223
 
2.5%
Lowercase Letter 54
 
0.6%
Dash Punctuation 28
 
0.3%
Math Symbol 22
 
0.2%
Uppercase Letter 12
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 394
 
7.6%
동 376
 
7.2%
사 375
 
7.2%
부 321
 
6.2%
광 320
 
6.1%
산 317
 
6.1%
시 315
 
6.0%
역 309
 
5.9%
구 309
 
5.9%
로 309
 
5.9%
Other values (101) 1862
35.8%
Decimal Number
ValueCountFrequency (%)
2 276
22.3%
1 174
14.1%
3 132
10.7%
6 124
10.0%
0 108
 
8.7%
7 107
 
8.7%
4 104
 
8.4%
8 77
 
6.2%
5 70
 
5.7%
9 64
 
5.2%
Lowercase Letter
ValueCountFrequency (%)
e 9
16.7%
r 9
16.7%
a 9
16.7%
u 9
16.7%
q 9
16.7%
s 9
16.7%
Uppercase Letter
ValueCountFrequency (%)
M 9
75.0%
A 1
 
8.3%
B 1
 
8.3%
D 1
 
8.3%
Space Separator
ValueCountFrequency (%)
1508
100.0%
Open Punctuation
ValueCountFrequency (%)
( 311
100.0%
Close Punctuation
ValueCountFrequency (%)
) 311
100.0%
Other Punctuation
ValueCountFrequency (%)
, 223
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%
Math Symbol
ValueCountFrequency (%)
~ 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5207
58.4%
Common 3639
40.8%
Latin 66
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 394
 
7.6%
동 376
 
7.2%
사 375
 
7.2%
부 321
 
6.2%
광 320
 
6.1%
산 317
 
6.1%
시 315
 
6.0%
역 309
 
5.9%
구 309
 
5.9%
로 309
 
5.9%
Other values (101) 1862
35.8%
Common
ValueCountFrequency (%)
1508
41.4%
( 311
 
8.5%
) 311
 
8.5%
2 276
 
7.6%
, 223
 
6.1%
1 174
 
4.8%
3 132
 
3.6%
6 124
 
3.4%
0 108
 
3.0%
7 107
 
2.9%
Other values (6) 365
 
10.0%
Latin
ValueCountFrequency (%)
e 9
13.6%
r 9
13.6%
a 9
13.6%
u 9
13.6%
q 9
13.6%
s 9
13.6%
M 9
13.6%
A 1
 
1.5%
B 1
 
1.5%
D 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5207
58.4%
ASCII 3705
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1508
40.7%
( 311
 
8.4%
) 311
 
8.4%
2 276
 
7.4%
, 223
 
6.0%
1 174
 
4.7%
3 132
 
3.6%
6 124
 
3.3%
0 108
 
2.9%
7 107
 
2.9%
Other values (16) 431
 
11.6%
Hangul
ValueCountFrequency (%)
상 394
 
7.6%
동 376
 
7.2%
사 375
 
7.2%
부 321
 
6.2%
광 320
 
6.1%
산 317
 
6.1%
시 315
 
6.0%
역 309
 
5.9%
구 309
 
5.9%
로 309
 
5.9%
Other values (101) 1862
35.8%

Interactions

2023-12-11T01:30:02.972901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:30:08.692828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호의료기관종별장치명칭
번호1.0000.0000.275
의료기관종별0.0001.0000.522
장치명칭0.2750.5221.000
2023-12-11T01:30:08.787993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장치명칭의료기관종별
장치명칭1.0000.268
의료기관종별0.2681.000
2023-12-11T01:30:08.894331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호의료기관종별장치명칭
번호1.0000.0000.128
의료기관종별0.0001.0000.268
장치명칭0.1280.2681.000

Missing values

2023-12-11T01:30:03.100332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:30:03.216106image/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

번호의료기관명의료기관종별장치명칭장치모델명장치형식명전화번호의료기관주소(도로명)
01우리탑치과의원치과의원치과진단용 엑스선 발생장치STAR-XD-6-65051-313-2804부산광역시 사상구 가야대로 290, 4층 (주례동)
12우리탑치과의원치과의원전산화 단층 촬영장치eco-xCBCT(P)-10-90051-313-2804부산광역시 사상구 가야대로 290, 4층 (주례동)
23나상옥신경과의원의원진단용 엑스선 발생기DEXXUM T QuantumBHR-3-83051-323-6226부산광역시 사상구 가야대로 274-3, 5~7층 (주례동)
34재원메디컬의원의원진단용 엑스선 발생기DEXXUM TBHR-1.5-83051-305-7588부산광역시 사상구 사상로 236, 5,6층 (괘법동)
45재원메디컬의원의원진단용 엑스선 장치FOREXIA-H3R-500-125051-305-7588부산광역시 사상구 사상로 236, 5,6층 (괘법동)
56의료법인은성의료재단좋은삼선병원종합병원진단용 엑스선 발생기OEC EliteHF-10-120051-322-0900부산광역시 사상구 가야대로 326 (주례동)
67신세계한방병원한방병원진단용 엑스선 장치REX-525RR-500-125(R-300-100)051-327-1199부산광역시 사상구 사상로 174 (괘법동)
78의료법인은성의료재단좋은삼선병원종합병원진단용 엑스선 발생기Cios SelectHRF-24-110051-322-0900부산광역시 사상구 가야대로 326 (주례동)
89행복나눔치과의원치과의원전산화 단층 촬영장치PHT-35LHSCBCT(PC)-16-99051-316-7528부산광역시 사상구 낙동대로 733, 롯데마트 사상점 4층 (엄궁동)
910행복나눔치과의원치과의원진단용 엑스선 발생기NR-F100HR-2-70051-316-7528부산광역시 사상구 낙동대로 733, 롯데마트 사상점 4층 (엄궁동)
번호의료기관명의료기관종별장치명칭장치모델명장치형식명전화번호의료기관주소(도로명)
299300한결의원의원진단용 엑스선 장치KXO-12RF-500-125051-315-8448부산광역시 사상구 대동로 109-1 (학장동)
300301정용학내과의원의원진단용 엑스선 장치DXG-325R-RSR-300-150051-323-7582부산광역시 사상구 백양대로 893, 4층 (모라동)
301302조윤일치과의원치과의원치과진단용 엑스선 발생장치MAX-GLSD-10-60051-322-2804부산광역시 사상구 엄궁북로 21 (엄궁동)
302303김상정내과의원의원진단용 엑스선 장치DA-100R-100-100051-327-7575부산광역시 사상구 백양대로 880, 405호 (모라동, 우신모라아파트상가)
303304전봉균내과의원의원진단용 엑스선 장치DXG 100N-R-FSR-100-100051-324-3882부산광역시 사상구 대동로 100-1 (학장동)
304305의료법인은성의료재단좋은삼선병원종합병원진단용 엑스선 장치UD150L-30FIR-500-125051-322-0900부산광역시 사상구 가야대로 326 (주례동)
305306참소망연합의원의원진단용 엑스선 장치DXG 100N-R-FSR-100-100051-315-5339부산광역시 사상구 가야대로 300 (주례동)
306307노창진치과의원치과의원치과진단용 엑스선 발생장치MAX-GLD-60-S051-312-6425부산광역시 사상구 냉정로 115-1 (주례동)
307308서강정형외과의원의원진단용 엑스선 장치DA-5125R-500-125051-327-2223부산광역시 사상구 낙동대로 776 (엄궁동)
308309한세신경외과의원의원진단용 엑스선 발생기ZEN-2060 ProHRF-110-P051-325-2060부산광역시 사상구 새벽로 163 (감전동, 한세신경외과)