Overview

Dataset statistics

Number of variables8
Number of observations338
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory21.6 KiB
Average record size in memory65.4 B

Variable types

Numeric1
Text5
Categorical2

Dataset

Description사상구 관내 진단용방사선발생장치에 관한 현황(의료기관명, 소재지, 전화번호, 장비명칭, 모델명, 형식명 등)
Author공공데이터포털
URLhttps://www.data.go.kr/data/15025889/fileData.do

Alerts

번호 has unique valuesUnique

Reproduction

Analysis started2024-04-21 16:45:06.164987
Analysis finished2024-04-21 16:45:07.248355
Duration1.08 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct338
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean169.5
Minimum1
Maximum338
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-22T01:45:07.373638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile17.85
Q185.25
median169.5
Q3253.75
95-th percentile321.15
Maximum338
Range337
Interquartile range (IQR)168.5

Descriptive statistics

Standard deviation97.716426
Coefficient of variation (CV)0.57649809
Kurtosis-1.2
Mean169.5
Median Absolute Deviation (MAD)84.5
Skewness0
Sum57291
Variance9548.5
MonotonicityStrictly increasing
2024-04-22T01:45:07.635607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
224 1
 
0.3%
232 1
 
0.3%
231 1
 
0.3%
230 1
 
0.3%
229 1
 
0.3%
228 1
 
0.3%
227 1
 
0.3%
226 1
 
0.3%
225 1
 
0.3%
Other values (328) 328
97.0%
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 (%)
338 1
0.3%
337 1
0.3%
336 1
0.3%
335 1
0.3%
334 1
0.3%
333 1
0.3%
332 1
0.3%
331 1
0.3%
330 1
0.3%
329 1
0.3%

의료기관명
Text

Distinct136
Distinct (%)40.2%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-04-22T01:45:08.671818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length9.908284
Min length3

Characters and Unicode

Total characters3349
Distinct characters193
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

Unique41 ?
Unique (%)12.1%

Sample

1st row의료법인은성의료재단좋은삼선병원
2nd row의료법인현백의료재단사상고려병원
3rd row봄내과의원
4th row한국건강관리협회 건강증진의원
5th row큰내과의원
ValueCountFrequency (%)
의료법인은성의료재단좋은삼선병원 29
 
7.1%
부산보훈병원 18
 
4.4%
한국보훈복지의료공단 18
 
4.4%
의료법인 14
 
3.4%
의료법인센텀의료재단 9
 
2.2%
서부산센텀병원 9
 
2.2%
한국건강관리협회 8
 
1.9%
건강증진의원 8
 
1.9%
의료법인영재의료재단 6
 
1.5%
큰솔병원 6
 
1.5%
Other values (142) 286
69.6%
2024-04-22T01:45:09.959464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 397
 
11.9%
원 340
 
10.2%
과 212
 
6.3%
료 148
 
4.4%
치 131
 
3.9%
병 105
 
3.1%
재 86
 
2.6%
단 85
 
2.5%
인 83
 
2.5%
은 78
 
2.3%
Other values (183) 1684
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3268
97.6%
Space Separator 73
 
2.2%
Decimal Number 4
 
0.1%
Lowercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 397
 
12.1%
원 340
 
10.4%
과 212
 
6.5%
료 148
 
4.5%
치 131
 
4.0%
병 105
 
3.2%
재 86
 
2.6%
단 85
 
2.6%
인 83
 
2.5%
은 78
 
2.4%
Other values (180) 1603
49.1%
Space Separator
ValueCountFrequency (%)
73
100.0%
Decimal Number
ValueCountFrequency (%)
2 4
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3268
97.6%
Common 77
 
2.3%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 397
 
12.1%
원 340
 
10.4%
과 212
 
6.5%
료 148
 
4.5%
치 131
 
4.0%
병 105
 
3.2%
재 86
 
2.6%
단 85
 
2.6%
인 83
 
2.5%
은 78
 
2.4%
Other values (180) 1603
49.1%
Common
ValueCountFrequency (%)
73
94.8%
2 4
 
5.2%
Latin
ValueCountFrequency (%)
e 4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3268
97.6%
ASCII 81
 
2.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 397
 
12.1%
원 340
 
10.4%
과 212
 
6.5%
료 148
 
4.5%
치 131
 
4.0%
병 105
 
3.2%
재 86
 
2.6%
단 85
 
2.6%
인 83
 
2.5%
은 78
 
2.4%
Other values (180) 1603
49.1%
ASCII
ValueCountFrequency (%)
73
90.1%
2 4
 
4.9%
e 4
 
4.9%

의료기관종별
Categorical

Distinct10
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
치과의원
126 
의원
102 
종합병원
47 
병원
33 
요양병원(일반요양병원)
14 
Other values (5)
16 

Length

Max length12
Median length4
Mean length3.5236686
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row종합병원
2nd row병원
3rd row의원
4th row의원
5th row의원

Common Values

ValueCountFrequency (%)
치과의원 126
37.3%
의원 102
30.2%
종합병원 47
 
13.9%
병원 33
 
9.8%
요양병원(일반요양병원) 14
 
4.1%
정신병원 5
 
1.5%
보건소 3
 
0.9%
한방병원 3
 
0.9%
치과병원 3
 
0.9%
부속의원 2
 
0.6%

Length

2024-04-22T01:45:10.197980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:45:10.413523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
치과의원 126
37.3%
의원 102
30.2%
종합병원 47
 
13.9%
병원 33
 
9.8%
요양병원(일반요양병원 14
 
4.1%
정신병원 5
 
1.5%
보건소 3
 
0.9%
한방병원 3
 
0.9%
치과병원 3
 
0.9%
부속의원 2
 
0.6%

장치명칭
Categorical

Distinct8
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
진단용 엑스선 발생기
113 
진단용 엑스선 장치
88 
전산화 단층 촬영장치
63 
치과진단용 엑스선 발생장치
54 
유방촬영용장치
 
11
Other values (3)
 
9

Length

Max length15
Median length11
Mean length11.056213
Min length7

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row진단용 엑스선 장치
2nd row진단용 엑스선 발생기
3rd row진단용 엑스선 발생기
4th row유방촬영용장치
5th row진단용 엑스선 장치

Common Values

ValueCountFrequency (%)
진단용 엑스선 발생기 113
33.4%
진단용 엑스선 장치 88
26.0%
전산화 단층 촬영장치 63
18.6%
치과진단용 엑스선 발생장치 54
16.0%
유방촬영용장치 11
 
3.3%
유방촬영용 장치 6
 
1.8%
치과용 전산화 단층 촬영장치 2
 
0.6%
유방촬영용 장치 등 1
 
0.3%

Length

2024-04-22T01:45:10.677373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:45:10.902105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
엑스선 255
25.8%
진단용 201
20.3%
발생기 113
11.4%
장치 95
 
9.6%
전산화 65
 
6.6%
단층 65
 
6.6%
촬영장치 65
 
6.6%
치과진단용 54
 
5.5%
발생장치 54
 
5.5%
유방촬영용장치 11
 
1.1%
Other values (3) 10
 
1.0%

장치모델명
Text

Distinct179
Distinct (%)53.0%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-04-22T01:45:11.852760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length30
Mean length10.428994
Min length3

Characters and Unicode

Total characters3525
Distinct characters74
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique120 ?
Unique (%)35.5%

Sample

1st rowUltimax-i DREX-UI80
2nd rowZiehm 8000
3rd rowOsteoPro MAX
4th rowSelenia Dimensions universal
5th rowSIG-40-525
ValueCountFrequency (%)
pht-35lhs 20
 
3.8%
t 19
 
3.6%
dexxum 19
 
3.6%
accuray 13
 
2.4%
esx 10
 
1.9%
3d 10
 
1.9%
pro 9
 
1.7%
vex-p300 8
 
1.5%
rex-525r 8
 
1.5%
gxr-40s 8
 
1.5%
Other values (232) 407
76.6%
2024-04-22T01:45:13.037998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 226
 
6.4%
- 213
 
6.0%
194
 
5.5%
X 175
 
5.0%
S 138
 
3.9%
E 136
 
3.9%
R 131
 
3.7%
5 115
 
3.3%
P 111
 
3.1%
D 110
 
3.1%
Other values (64) 1976
56.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1622
46.0%
Lowercase Letter 853
24.2%
Decimal Number 615
 
17.4%
Dash Punctuation 213
 
6.0%
Space Separator 194
 
5.5%
Other Punctuation 11
 
0.3%
Open Punctuation 6
 
0.2%
Close Punctuation 6
 
0.2%
Letter Number 4
 
0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
X 175
 
10.8%
S 138
 
8.5%
E 136
 
8.4%
R 131
 
8.1%
P 111
 
6.8%
D 110
 
6.8%
A 100
 
6.2%
T 95
 
5.9%
M 75
 
4.6%
O 69
 
4.3%
Other values (16) 482
29.7%
Lowercase Letter
ValueCountFrequency (%)
i 103
12.1%
e 83
 
9.7%
o 82
 
9.6%
a 64
 
7.5%
r 58
 
6.8%
s 54
 
6.3%
n 52
 
6.1%
t 51
 
6.0%
c 46
 
5.4%
l 45
 
5.3%
Other values (16) 215
25.2%
Decimal Number
ValueCountFrequency (%)
0 226
36.7%
5 115
18.7%
3 80
 
13.0%
2 66
 
10.7%
1 44
 
7.2%
6 31
 
5.0%
8 21
 
3.4%
4 16
 
2.6%
9 10
 
1.6%
7 6
 
1.0%
Other Punctuation
ValueCountFrequency (%)
/ 6
54.5%
. 2
 
18.2%
& 2
 
18.2%
, 1
 
9.1%
Open Punctuation
ValueCountFrequency (%)
( 5
83.3%
[ 1
 
16.7%
Close Punctuation
ValueCountFrequency (%)
) 5
83.3%
] 1
 
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 213
100.0%
Space Separator
ValueCountFrequency (%)
194
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 4
100.0%
Other Symbol
ValueCountFrequency (%)
™ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2478
70.3%
Common 1046
29.7%
Greek 1
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
X 175
 
7.1%
S 138
 
5.6%
E 136
 
5.5%
R 131
 
5.3%
P 111
 
4.5%
D 110
 
4.4%
i 103
 
4.2%
A 100
 
4.0%
T 95
 
3.8%
e 83
 
3.3%
Other values (42) 1296
52.3%
Common
ValueCountFrequency (%)
0 226
21.6%
- 213
20.4%
194
18.5%
5 115
11.0%
3 80
 
7.6%
2 66
 
6.3%
1 44
 
4.2%
6 31
 
3.0%
8 21
 
2.0%
4 16
 
1.5%
Other values (11) 40
 
3.8%
Greek
ValueCountFrequency (%)
α 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3519
99.8%
Number Forms 4
 
0.1%
None 1
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 226
 
6.4%
- 213
 
6.1%
194
 
5.5%
X 175
 
5.0%
S 138
 
3.9%
E 136
 
3.9%
R 131
 
3.7%
5 115
 
3.3%
P 111
 
3.2%
D 110
 
3.1%
Other values (61) 1970
56.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 4
100.0%
None
ValueCountFrequency (%)
α 1
100.0%
Letterlike Symbols
ValueCountFrequency (%)
™ 1
100.0%

장치형식명
Text

Distinct133
Distinct (%)39.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-04-22T01:45:13.779191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length23
Mean length10.04142
Min length6

Characters and Unicode

Total characters3394
Distinct characters30
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

Unique80 ?
Unique (%)23.7%

Sample

1st rowRF-1000-150
2nd rowHRF-20-110(HF-8-110)
3rd rowBHR-1-76
4th rowMHR-200-49
5th rowR-500-125
ValueCountFrequency (%)
r-500-125 48
 
14.2%
cbct(p)-16-99 18
 
5.3%
d-10-60 11
 
3.2%
hr-60-p 10
 
2.9%
r-630-150 9
 
2.7%
hrf-110-p 8
 
2.4%
bhr-1.5-83 8
 
2.4%
hr-2-70 7
 
2.1%
cbct(p)-10-90 7
 
2.1%
hrf-20-110 7
 
2.1%
Other values (124) 206
60.8%
2024-04-22T01:45:14.795996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 716
21.1%
0 480
14.1%
1 336
9.9%
5 230
 
6.8%
R 223
 
6.6%
C 138
 
4.1%
H 138
 
4.1%
P 133
 
3.9%
2 131
 
3.9%
6 125
 
3.7%
Other values (20) 744
21.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1567
46.2%
Uppercase Letter 942
27.8%
Dash Punctuation 716
21.1%
Open Punctuation 73
 
2.2%
Close Punctuation 73
 
2.2%
Other Punctuation 21
 
0.6%
Lowercase Letter 1
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
R 223
23.7%
C 138
14.6%
H 138
14.6%
P 133
14.1%
B 89
 
9.4%
T 69
 
7.3%
D 57
 
6.1%
F 57
 
6.1%
M 19
 
2.0%
W 12
 
1.3%
Other values (4) 7
 
0.7%
Decimal Number
ValueCountFrequency (%)
0 480
30.6%
1 336
21.4%
5 230
14.7%
2 131
 
8.4%
6 125
 
8.0%
9 97
 
6.2%
3 80
 
5.1%
8 36
 
2.3%
7 27
 
1.7%
4 25
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 716
100.0%
Open Punctuation
ValueCountFrequency (%)
( 73
100.0%
Close Punctuation
ValueCountFrequency (%)
) 73
100.0%
Other Punctuation
ValueCountFrequency (%)
. 21
100.0%
Lowercase Letter
ValueCountFrequency (%)
s 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2451
72.2%
Latin 943
 
27.8%

Most frequent character per script

Common
ValueCountFrequency (%)
- 716
29.2%
0 480
19.6%
1 336
13.7%
5 230
 
9.4%
2 131
 
5.3%
6 125
 
5.1%
9 97
 
4.0%
3 80
 
3.3%
( 73
 
3.0%
) 73
 
3.0%
Other values (5) 110
 
4.5%
Latin
ValueCountFrequency (%)
R 223
23.6%
C 138
14.6%
H 138
14.6%
P 133
14.1%
B 89
 
9.4%
T 69
 
7.3%
D 57
 
6.0%
F 57
 
6.0%
M 19
 
2.0%
W 12
 
1.3%
Other values (5) 8
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3394
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 716
21.1%
0 480
14.1%
1 336
9.9%
5 230
 
6.8%
R 223
 
6.6%
C 138
 
4.1%
H 138
 
4.1%
P 133
 
3.9%
2 131
 
3.9%
6 125
 
3.7%
Other values (20) 744
21.9%

전화번호
Text

Distinct136
Distinct (%)40.2%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-04-22T01:45:15.640375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters4056
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

Unique41 ?
Unique (%)12.1%

Sample

1st row051-322-0900
2nd row051-301-8275
3rd row051-715-5210
4th row051-601-9700
5th row051-321-1117
ValueCountFrequency (%)
051-322-0900 29
 
8.6%
051-601-6000 18
 
5.3%
051-329-3000 9
 
2.7%
051-601-9700 8
 
2.4%
051-325-9700 6
 
1.8%
051-301-8275 5
 
1.5%
051-320-6800 5
 
1.5%
051-322-3332 4
 
1.2%
051-311-0100 4
 
1.2%
051-305-7588 4
 
1.2%
Other values (126) 246
72.8%
2024-04-22T01:45:16.711259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 790
19.5%
- 676
16.7%
1 615
15.2%
5 513
12.6%
2 416
10.3%
3 398
9.8%
7 189
 
4.7%
8 151
 
3.7%
9 133
 
3.3%
6 112
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3380
83.3%
Dash Punctuation 676
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 790
23.4%
1 615
18.2%
5 513
15.2%
2 416
12.3%
3 398
11.8%
7 189
 
5.6%
8 151
 
4.5%
9 133
 
3.9%
6 112
 
3.3%
4 63
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 676
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4056
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 790
19.5%
- 676
16.7%
1 615
15.2%
5 513
12.6%
2 416
10.3%
3 398
9.8%
7 189
 
4.7%
8 151
 
3.7%
9 133
 
3.3%
6 112
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4056
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 790
19.5%
- 676
16.7%
1 615
15.2%
5 513
12.6%
2 416
10.3%
3 398
9.8%
7 189
 
4.7%
8 151
 
3.7%
9 133
 
3.3%
6 112
 
2.8%

의료기관주소(도로명)
Text

Distinct134
Distinct (%)39.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-04-22T01:45:17.628822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length48
Mean length29.473373
Min length21

Characters and Unicode

Total characters9962
Distinct characters140
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

Unique39 ?
Unique (%)11.5%

Sample

1st row부산광역시 사상구 가야대로 326 (주례동)
2nd row부산광역시 사상구 사상로 282, 280일부 (덕포동)
3rd row부산광역시 사상구 가야대로 276, M-square 메디컬센터 4층 (주례동)
4th row부산광역시 사상구 학감대로 230(감전동)
5th row부산광역시 사상구 광장로 77, 2층 (괘법동)
ValueCountFrequency (%)
부산광역시 338
 
16.7%
사상구 338
 
16.7%
주례동 91
 
4.5%
괘법동 86
 
4.3%
사상로 76
 
3.8%
가야대로 62
 
3.1%
학장동 43
 
2.1%
백양대로 41
 
2.0%
엄궁동 40
 
2.0%
낙동대로 32
 
1.6%
Other values (205) 875
43.3%
2024-04-22T01:45:18.777963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1684
 
16.9%
상 438
 
4.4%
동 423
 
4.2%
사 417
 
4.2%
부 352
 
3.5%
광 350
 
3.5%
산 347
 
3.5%
시 344
 
3.5%
( 340
 
3.4%
) 340
 
3.4%
Other values (130) 4927
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5808
58.3%
Space Separator 1684
 
16.9%
Decimal Number 1401
 
14.1%
Open Punctuation 340
 
3.4%
Close Punctuation 340
 
3.4%
Other Punctuation 256
 
2.6%
Lowercase Letter 66
 
0.7%
Dash Punctuation 32
 
0.3%
Math Symbol 21
 
0.2%
Uppercase Letter 14
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 438
 
7.5%
동 423
 
7.3%
사 417
 
7.2%
부 352
 
6.1%
광 350
 
6.0%
산 347
 
6.0%
시 344
 
5.9%
로 338
 
5.8%
구 338
 
5.8%
역 338
 
5.8%
Other values (104) 2123
36.6%
Decimal Number
ValueCountFrequency (%)
2 304
21.7%
1 195
13.9%
3 146
10.4%
6 145
10.3%
0 134
9.6%
4 122
8.7%
7 115
 
8.2%
8 89
 
6.4%
5 76
 
5.4%
9 75
 
5.4%
Lowercase Letter
ValueCountFrequency (%)
e 11
16.7%
r 11
16.7%
a 11
16.7%
u 11
16.7%
q 11
16.7%
s 11
16.7%
Uppercase Letter
ValueCountFrequency (%)
M 11
78.6%
A 1
 
7.1%
B 1
 
7.1%
D 1
 
7.1%
Space Separator
ValueCountFrequency (%)
1684
100.0%
Open Punctuation
ValueCountFrequency (%)
( 340
100.0%
Close Punctuation
ValueCountFrequency (%)
) 340
100.0%
Other Punctuation
ValueCountFrequency (%)
, 256
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%
Math Symbol
ValueCountFrequency (%)
~ 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5808
58.3%
Common 4074
40.9%
Latin 80
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 438
 
7.5%
동 423
 
7.3%
사 417
 
7.2%
부 352
 
6.1%
광 350
 
6.0%
산 347
 
6.0%
시 344
 
5.9%
로 338
 
5.8%
구 338
 
5.8%
역 338
 
5.8%
Other values (104) 2123
36.6%
Common
ValueCountFrequency (%)
1684
41.3%
( 340
 
8.3%
) 340
 
8.3%
2 304
 
7.5%
, 256
 
6.3%
1 195
 
4.8%
3 146
 
3.6%
6 145
 
3.6%
0 134
 
3.3%
4 122
 
3.0%
Other values (6) 408
 
10.0%
Latin
ValueCountFrequency (%)
e 11
13.8%
r 11
13.8%
a 11
13.8%
u 11
13.8%
q 11
13.8%
s 11
13.8%
M 11
13.8%
A 1
 
1.2%
B 1
 
1.2%
D 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5808
58.3%
ASCII 4154
41.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1684
40.5%
( 340
 
8.2%
) 340
 
8.2%
2 304
 
7.3%
, 256
 
6.2%
1 195
 
4.7%
3 146
 
3.5%
6 145
 
3.5%
0 134
 
3.2%
4 122
 
2.9%
Other values (16) 488
 
11.7%
Hangul
ValueCountFrequency (%)
상 438
 
7.5%
동 423
 
7.3%
사 417
 
7.2%
부 352
 
6.1%
광 350
 
6.0%
산 347
 
6.0%
시 344
 
5.9%
로 338
 
5.8%
구 338
 
5.8%
역 338
 
5.8%
Other values (104) 2123
36.6%

Interactions

2024-04-22T01:45:06.723885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-22T01:45:18.926625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호의료기관종별장치명칭
번호1.0000.2900.286
의료기관종별0.2901.0000.556
장치명칭0.2860.5561.000
2024-04-22T01:45:19.073898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장치명칭의료기관종별
장치명칭1.0000.304
의료기관종별0.3041.000
2024-04-22T01:45:19.212668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호의료기관종별장치명칭
번호1.0000.0920.140
의료기관종별0.0921.0000.304
장치명칭0.1400.3041.000

Missing values

2024-04-22T01:45:06.938720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-22T01:45:07.160836image/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)
01의료법인은성의료재단좋은삼선병원종합병원진단용 엑스선 장치Ultimax-i DREX-UI80RF-1000-150051-322-0900부산광역시 사상구 가야대로 326 (주례동)
12의료법인현백의료재단사상고려병원병원진단용 엑스선 발생기Ziehm 8000HRF-20-110(HF-8-110)051-301-8275부산광역시 사상구 사상로 282, 280일부 (덕포동)
23봄내과의원의원진단용 엑스선 발생기OsteoPro MAXBHR-1-76051-715-5210부산광역시 사상구 가야대로 276, M-square 메디컬센터 4층 (주례동)
34한국건강관리협회 건강증진의원의원유방촬영용장치Selenia Dimensions universalMHR-200-49051-601-9700부산광역시 사상구 학감대로 230(감전동)
45큰내과의원의원진단용 엑스선 장치SIG-40-525R-500-125051-321-1117부산광역시 사상구 광장로 77, 2층 (괘법동)
56의료법인은성의료재단좋은삼선병원종합병원진단용 엑스선 발생기Ziehm VisionHRF-20-110(HF-16-110)051-322-0900부산광역시 사상구 가야대로 326 (주례동)
67의료법인은성의료재단좋은삼선병원종합병원진단용 엑스선 발생기Ziehm VisionHRF-20-110(HF-16-110)051-322-0900부산광역시 사상구 가야대로 326 (주례동)
78노창진치과의원치과의원치과진단용 엑스선 발생장치ESXD-5-65051-312-6425부산광역시 사상구 냉정로 115-1 (주례동)
89모라에덴치과의원치과의원진단용 엑스선 발생기VEX-P300HR-2.5-65051-304-2828부산광역시 사상구 모라로110번길 121 (모라동)
910모라에덴치과의원치과의원전산화 단층 촬영장치PHT-35LHSCBCT(P)-16-99051-304-2828부산광역시 사상구 모라로110번길 121 (모라동)
번호의료기관명의료기관종별장치명칭장치모델명장치형식명전화번호의료기관주소(도로명)
328329의료법인주현의료재단사상중앙병원정신병원진단용 엑스선 장치EVA-HF525R-500-125051-305-7001부산광역시 사상구 삼덕로5번길 85 (삼락동)
329330의료법인현백의료재단사상고려병원병원진단용 엑스선 발생기MCA-6100IRF-20-100051-301-8275부산광역시 사상구 사상로 282, 280일부 (덕포동)
330331이상주치과의원치과의원치과진단용 엑스선 발생장치Orthophos 3DP-80-P051-323-3118부산광역시 사상구 엄궁북로 19 (엄궁동)
331332미래치과의원치과의원치과진단용 엑스선 발생장치MAX-GLSD-10-60051-305-2875부산광역시 사상구 사상로 295 (덕포동)
332333조윤일치과의원치과의원치과진단용 엑스선 발생장치MAX-GLSD-10-60051-322-2804부산광역시 사상구 엄궁북로 21 (엄궁동)
333334김상정내과의원의원진단용 엑스선 장치DA-100R-100-100051-327-7575부산광역시 사상구 백양대로 880, 405호 (모라동, 우신모라아파트상가)
334335전봉균내과의원의원진단용 엑스선 장치DXG 100N-R-FSR-100-100051-324-3882부산광역시 사상구 대동로 100-1 (학장동)
335336참소망연합의원의원진단용 엑스선 장치DXG 100N-R-FSR-100-100051-315-5339부산광역시 사상구 가야대로 300 (주례동)
336337서강정형외과의원의원진단용 엑스선 장치DA-5125R-500-125051-327-2223부산광역시 사상구 낙동대로 776 (엄궁동)
337338한세신경외과의원의원진단용 엑스선 발생기ZEN-2060 ProHRF-110-P051-325-2060부산광역시 사상구 새벽로 163 (감전동, 한세신경외과)