Overview

Dataset statistics

Number of variables7
Number of observations223
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.5 KiB
Average record size in memory57.6 B

Variable types

Numeric1
Categorical1
Text4
DateTime1

Dataset

Description진단용방사선발생장치 당진시 현황(장치명, 설치의료기관명, 설치장소, 모델명, 장비검사일자 등)
Author충청남도 당진시
URLhttps://www.data.go.kr/data/15031620/fileData.do

Alerts

번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 11:56:47.565126
Analysis finished2023-12-12 11:56:48.321669
Duration0.76 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct223
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean112
Minimum1
Maximum223
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2023-12-12T20:56:48.444625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile12.1
Q156.5
median112
Q3167.5
95-th percentile211.9
Maximum223
Range222
Interquartile range (IQR)111

Descriptive statistics

Standard deviation64.518731
Coefficient of variation (CV)0.5760601
Kurtosis-1.2
Mean112
Median Absolute Deviation (MAD)56
Skewness0
Sum24976
Variance4162.6667
MonotonicityStrictly increasing
2023-12-12T20:56:48.642566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
2 1
 
0.4%
143 1
 
0.4%
144 1
 
0.4%
145 1
 
0.4%
146 1
 
0.4%
147 1
 
0.4%
148 1
 
0.4%
149 1
 
0.4%
150 1
 
0.4%
Other values (213) 213
95.5%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
223 1
0.4%
222 1
0.4%
221 1
0.4%
220 1
0.4%
219 1
0.4%
218 1
0.4%
217 1
0.4%
216 1
0.4%
215 1
0.4%
214 1
0.4%

장치명칭
Categorical

Distinct12
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
진단용 엑스선 발생기
62 
진단용 엑스선 장치
60 
치과진단용 엑스선 발생장치
56 
치과용 전산화 단층 촬영장치
29 
전산화 단층 촬영장치
 
5
Other values (7)
11 

Length

Max length18
Median length15
Mean length11.977578
Min length7

Unique

Unique4 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
진단용 엑스선 발생기 62
27.8%
진단용 엑스선 장치 60
26.9%
치과진단용 엑스선 발생장치 56
25.1%
치과용 전산화 단층 촬영장치 29
13.0%
전산화 단층 촬영장치 5
 
2.2%
유방촬영용장치 3
 
1.3%
이비인후과용 전산화 단층 촬영장치 2
 
0.9%
유방촬영용 장치 2
 
0.9%
디지털X선촬영장치 1
 
0.4%
이동형엑스선장치 1
 
0.4%
Other values (2) 2
 
0.9%

Length

2023-12-12T20:56:48.812302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
엑스선 178
26.0%
진단용 122
17.8%
발생기 62
 
9.1%
장치 62
 
9.1%
치과진단용 56
 
8.2%
발생장치 56
 
8.2%
촬영장치 36
 
5.3%
단층 36
 
5.3%
전산화 36
 
5.3%
치과용 29
 
4.2%
Other values (7) 11
 
1.6%
Distinct131
Distinct (%)58.7%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-12T20:56:49.243616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length25
Mean length9.9506726
Min length3

Characters and Unicode

Total characters2219
Distinct characters71
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique86 ?
Unique (%)38.6%

Sample

1st rowURO-EMX
2nd rowDPX Bravo
3rd rowAccuRay D6
4th rowMINIX-S
5th rowREX-325R-RSB
ValueCountFrequency (%)
dexxum 15
 
4.3%
t 15
 
4.3%
3d 15
 
4.3%
point 12
 
3.4%
combi 11
 
3.1%
esx 7
 
2.0%
point-x 6
 
1.7%
bravo 6
 
1.7%
dpx 6
 
1.7%
rex-525r 5
 
1.4%
Other values (170) 254
72.2%
2023-12-12T20:56:49.912253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 144
 
6.5%
- 143
 
6.4%
129
 
5.8%
X 126
 
5.7%
R 96
 
4.3%
D 85
 
3.8%
5 80
 
3.6%
S 77
 
3.5%
P 75
 
3.4%
E 73
 
3.3%
Other values (61) 1191
53.7%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1020
46.0%
Lowercase Letter 507
22.8%
Decimal Number 403
 
18.2%
Dash Punctuation 143
 
6.4%
Space Separator 129
 
5.8%
Letter Number 7
 
0.3%
Other Punctuation 4
 
0.2%
Other Letter 3
 
0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
X 126
12.4%
R 96
 
9.4%
D 85
 
8.3%
S 77
 
7.5%
P 75
 
7.4%
E 73
 
7.2%
T 54
 
5.3%
A 54
 
5.3%
O 52
 
5.1%
M 49
 
4.8%
Other values (15) 279
27.4%
Lowercase Letter
ValueCountFrequency (%)
o 69
13.6%
i 56
11.0%
a 55
10.8%
t 38
 
7.5%
m 34
 
6.7%
n 31
 
6.1%
r 31
 
6.1%
e 23
 
4.5%
c 22
 
4.3%
y 22
 
4.3%
Other values (13) 126
24.9%
Decimal Number
ValueCountFrequency (%)
0 144
35.7%
5 80
19.9%
3 58
14.4%
2 49
 
12.2%
1 25
 
6.2%
6 24
 
6.0%
8 7
 
1.7%
4 6
 
1.5%
9 6
 
1.5%
7 4
 
1.0%
Other Punctuation
ValueCountFrequency (%)
/ 2
50.0%
, 1
25.0%
& 1
25.0%
Other Letter
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%
Letter Number
ValueCountFrequency (%)
6
85.7%
1
 
14.3%
Dash Punctuation
ValueCountFrequency (%)
- 143
100.0%
Space Separator
ValueCountFrequency (%)
129
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1534
69.1%
Common 682
30.7%
Hangul 3
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
X 126
 
8.2%
R 96
 
6.3%
D 85
 
5.5%
S 77
 
5.0%
P 75
 
4.9%
E 73
 
4.8%
o 69
 
4.5%
i 56
 
3.7%
a 55
 
3.6%
T 54
 
3.5%
Other values (40) 768
50.1%
Common
ValueCountFrequency (%)
0 144
21.1%
- 143
21.0%
129
18.9%
5 80
11.7%
3 58
8.5%
2 49
 
7.2%
1 25
 
3.7%
6 24
 
3.5%
8 7
 
1.0%
4 6
 
0.9%
Other values (8) 17
 
2.5%
Hangul
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2208
99.5%
Number Forms 7
 
0.3%
Hangul 3
 
0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 144
 
6.5%
- 143
 
6.5%
129
 
5.8%
X 126
 
5.7%
R 96
 
4.3%
D 85
 
3.8%
5 80
 
3.6%
S 77
 
3.5%
P 75
 
3.4%
E 73
 
3.3%
Other values (55) 1180
53.4%
Number Forms
ValueCountFrequency (%)
6
85.7%
1
 
14.3%
Hangul
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%
Letterlike Symbols
ValueCountFrequency (%)
1
100.0%
Distinct69
Distinct (%)30.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-12T20:56:50.205365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length8.3856502
Min length5

Characters and Unicode

Total characters1870
Distinct characters28
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

Unique44 ?
Unique (%)19.7%

Sample

1st rowHF-120-P
2nd rowBHR-76-P
3rd rowR-630-150
4th rowHR-60-P
5th rowR-300-125
ValueCountFrequency (%)
hr-60-p 27
 
12.1%
r-500-125 14
 
6.3%
dctp-90-p 14
 
6.3%
bhr-83-p 13
 
5.8%
r-300-125 12
 
5.4%
dp-80-p 10
 
4.5%
d-60-p 10
 
4.5%
dctp-99-p 10
 
4.5%
d-65-p 8
 
3.6%
hrf-110-p 8
 
3.6%
Other values (58) 97
43.5%
2023-12-12T20:56:50.678545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 458
24.5%
0 242
12.9%
P 209
11.2%
R 144
 
7.7%
1 110
 
5.9%
5 98
 
5.2%
H 86
 
4.6%
D 75
 
4.0%
6 70
 
3.7%
2 61
 
3.3%
Other values (18) 317
17.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 736
39.4%
Uppercase Letter 659
35.2%
Dash Punctuation 458
24.5%
Open Punctuation 6
 
0.3%
Close Punctuation 6
 
0.3%
Lowercase Letter 5
 
0.3%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
P 209
31.7%
R 144
21.9%
H 86
13.1%
D 75
 
11.4%
C 38
 
5.8%
T 37
 
5.6%
B 29
 
4.4%
F 22
 
3.3%
I 6
 
0.9%
M 5
 
0.8%
Other values (3) 8
 
1.2%
Decimal Number
ValueCountFrequency (%)
0 242
32.9%
1 110
14.9%
5 98
13.3%
6 70
 
9.5%
2 61
 
8.3%
9 50
 
6.8%
3 43
 
5.8%
8 40
 
5.4%
7 14
 
1.9%
4 8
 
1.1%
Lowercase Letter
ValueCountFrequency (%)
p 3
60.0%
d 2
40.0%
Dash Punctuation
ValueCountFrequency (%)
- 458
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1206
64.5%
Latin 664
35.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
P 209
31.5%
R 144
21.7%
H 86
13.0%
D 75
 
11.3%
C 38
 
5.7%
T 37
 
5.6%
B 29
 
4.4%
F 22
 
3.3%
I 6
 
0.9%
M 5
 
0.8%
Other values (5) 13
 
2.0%
Common
ValueCountFrequency (%)
- 458
38.0%
0 242
20.1%
1 110
 
9.1%
5 98
 
8.1%
6 70
 
5.8%
2 61
 
5.1%
9 50
 
4.1%
3 43
 
3.6%
8 40
 
3.3%
7 14
 
1.2%
Other values (3) 20
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1870
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 458
24.5%
0 242
12.9%
P 209
11.2%
R 144
 
7.7%
1 110
 
5.9%
5 98
 
5.2%
H 86
 
4.6%
D 75
 
4.0%
6 70
 
3.7%
2 61
 
3.3%
Other values (18) 317
17.0%
Distinct104
Distinct (%)46.6%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-12T20:56:50.977071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/