Overview

Dataset statistics

Number of variables10
Number of observations48
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.0 KiB
Average record size in memory85.8 B

Variable types

Numeric3
Categorical4
Text3

Dataset

Description전라남도 함평군 관내 진단용방사선발생장치 현황에 대한 자료입니다. 이 자료는 함평군 관내 진단방사선 발생장치에 대한 의료기관명, 장비용도, 장치명칭 등의 자료를 포함합니다.
Author전라남도 함평군
URLhttps://www.data.go.kr/data/15061693/fileData.do

Alerts

의료기관주소(도로명) is highly overall correlated with 의료기관명High correlation
의료기관명 is highly overall correlated with 의료기관주소(도로명)High correlation
번호 is highly overall correlated with 제조연월일High correlation
제조연월일 is highly overall correlated with 번호High correlation
번호 has unique valuesUnique
제조번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:52:10.486876
Analysis finished2023-12-12 08:52:12.212656
Duration1.73 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.5
Minimum1
Maximum48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2023-12-12T17:52:12.293447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.35
Q112.75
median24.5
Q336.25
95-th percentile45.65
Maximum48
Range47
Interquartile range (IQR)23.5

Descriptive statistics

Standard deviation14
Coefficient of variation (CV)0.57142857
Kurtosis-1.2
Mean24.5
Median Absolute Deviation (MAD)12
Skewness0
Sum1176
Variance196
MonotonicityStrictly increasing
2023-12-12T17:52:12.512400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
1 1
 
2.1%
26 1
 
2.1%
28 1
 
2.1%
29 1
 
2.1%
30 1
 
2.1%
31 1
 
2.1%
32 1
 
2.1%
33 1
 
2.1%
34 1
 
2.1%
35 1
 
2.1%
Other values (38) 38
79.2%
ValueCountFrequency (%)
1 1
2.1%
2 1
2.1%
3 1
2.1%
4 1
2.1%
5 1
2.1%
6 1
2.1%
7 1
2.1%
8 1
2.1%
9 1
2.1%
10 1
2.1%
ValueCountFrequency (%)
48 1
2.1%
47 1
2.1%
46 1
2.1%
45 1
2.1%
44 1
2.1%
43 1
2.1%
42 1
2.1%
41 1
2.1%
40 1
2.1%
39 1
2.1%

장비용도
Categorical

Distinct12
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
일반촬영
13 
치과(구내촬영)
10 
골밀도
8 
치과
3 
치과용CT 및 파노라마
3 
Other values (7)
11 

Length

Max length12
Median length8.5
Mean length5.6458333
Min length2

Unique

Unique3 ?
Unique (%)6.2%

Sample

1st row일반촬영
2nd row치과
3rd row투시(C-ARM)
4th row치과(구내촬영)
5th row일반촬영

Common Values

ValueCountFrequency (%)
일반촬영 13
27.1%
치과(구내촬영) 10
20.8%
골밀도 8
16.7%
치과 3
 
6.2%
치과용CT 및 파노라마 3
 
6.2%
투시(C-ARM) 2
 
4.2%
전신 2
 
4.2%
디지탈 X선 촬영 2
 
4.2%
촬영 및 투시 2
 
4.2%
이동용 1
 
2.1%
Other values (2) 2
 
4.2%

Length

2023-12-12T17:52:12.669844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반촬영 13
21.0%
치과(구내촬영 10
16.1%
골밀도 8
12.9%
및 5
 
8.1%
촬영 4
 
6.5%
치과 3
 
4.8%
치과용ct 3
 
4.8%
파노라마 3
 
4.8%
투시(c-arm 2
 
3.2%
전신 2
 
3.2%
Other values (6) 9
14.5%

장치명칭
Categorical

Distinct12
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
진단용 엑스선 발생기
18 
진단용 엑스선 장치
8 
치과용 전산화 단층 촬영장치
4 
치과진단용 엑스선 발생장치
4 
전산화 단층 촬영장치
3 
Other values (7)
11 

Length

Max length16
Median length15
Mean length11.4375
Min length7

Unique

Unique3 ?
Unique (%)6.2%

Sample

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

Common Values

ValueCountFrequency (%)
진단용 엑스선 발생기 18
37.5%
진단용 엑스선 장치 8
16.7%
치과용 전산화 단층 촬영장치 4
 
8.3%
치과진단용 엑스선 발생장치 4
 
8.3%
전산화 단층 촬영장치 3
 
6.2%
전신용엑스선골밀도측정기 2
 
4.2%
포터블엑스선촬영장치 2
 
4.2%
진단용엑스선장치 2
 
4.2%
치과진단용엑스선발생장치 2
 
4.2%
이동형디지털진단용엑스선촬영장치 1
 
2.1%
Other values (2) 2
 
4.2%

Length

2023-12-12T17:52:12.795992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
엑스선 30
23.8%
진단용 26
20.6%
발생기 18
14.3%
장치 8
 
6.3%
전산화 7
 
5.6%
단층 7
 
5.6%
촬영장치 7
 
5.6%
발생장치 4
 
3.2%
치과진단용 4
 
3.2%
치과용 4
 
3.2%
Other values (7) 11
 
8.7%

장치모델명
Text

Distinct37
Distinct (%)77.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
2023-12-12T17:52:13.309026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length17
Mean length9.2083333
Min length4

Characters and Unicode

Total characters442
Distinct characters57
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

Unique28 ?
Unique (%)58.3%

Sample

1st rowDRX-Revolution
2nd rowOrthophos S 3D
3rd rowMCA-601
4th rowNR-F100
5th rowINNOVISION-DX
ValueCountFrequency (%)
vex-p300 3
 
4.9%
max-gls 3
 
4.9%
falcon-x 2
 
3.3%
plus 2
 
3.3%
pht-35lhs 2
 
3.3%
rex-525r 2
 
3.3%
apollon 2
 
3.3%
mine2 2
 
3.3%
t 2
 
3.3%
dexxum 2
 
3.3%
Other values (38) 39
63.9%
2023-12-12T17:52:13.792870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 33
 
7.5%
- 32
 
7.2%
X 28
 
6.3%
A 16
 
3.6%
R 16
 
3.6%
o 15
 
3.4%
P 14
 
3.2%
13
 
2.9%
L 13
 
2.9%
O 13
 
2.9%
Other values (47) 249
56.3%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 219
49.5%
Lowercase Letter 86
 
19.5%
Decimal Number 85
 
19.2%
Dash Punctuation 32
 
7.2%
Space Separator 13
 
2.9%
Other Punctuation 3
 
0.7%
Close Punctuation 2
 
0.5%
Open Punctuation 2
 
0.5%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
X 28
 
12.8%
A 16
 
7.3%
R 16
 
7.3%
P 14
 
6.4%
L 13
 
5.9%
O 13
 
5.9%
M 12
 
5.5%
N 12
 
5.5%
E 11
 
5.0%
D 11
 
5.0%
Other values (13) 73
33.3%
Lowercase Letter
ValueCountFrequency (%)
o 15
17.4%
e 8
9.3%
i 7
8.1%
t 7
8.1%
n 6
 
7.0%
l 6
 
7.0%
r 6
 
7.0%
s 5
 
5.8%
u 5
 
5.8%
p 4
 
4.7%
Other values (9) 17
19.8%
Decimal Number
ValueCountFrequency (%)
0 33
38.8%
5 12
 
14.1%
3 11
 
12.9%
2 10
 
11.8%
1 9
 
10.6%
8 5
 
5.9%
4 2
 
2.4%
6 2
 
2.4%
7 1
 
1.2%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
/ 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 305
69.0%
Common 137
31.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
X 28
 
9.2%
A 16
 
5.2%
R 16
 
5.2%
o 15
 
4.9%
P 14
 
4.6%
L 13
 
4.3%
O 13
 
4.3%
M 12
 
3.9%
N 12
 
3.9%
E 11
 
3.6%
Other values (32) 155
50.8%
Common
ValueCountFrequency (%)
0 33
24.1%
- 32
23.4%
13
 
9.5%
5 12
 
8.8%
3 11
 
8.0%
2 10
 
7.3%
1 9
 
6.6%
8 5
 
3.6%
) 2
 
1.5%
4 2
 
1.5%
Other values (5) 8
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 442
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 33
 
7.5%
- 32
 
7.2%
X 28
 
6.3%
A 16
 
3.6%
R 16
 
3.6%
o 15
 
3.4%
P 14
 
3.2%
13
 
2.9%
L 13
 
2.9%
O 13
 
2.9%
Other values (47) 249
56.3%

장치형식명
Text

Distinct40
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Memory size516.0 B
2023-12-12T17:52:14.047470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length22
Mean length11.0625
Min length6

Characters and Unicode

Total characters531
Distinct characters33
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

Unique35 ?
Unique (%)72.9%

Sample

1st rowHR-400-150-DRX-REVOLUTION
2nd rowCBCT(P)-16-90(CBCT(P)-16-90)
3rd rowHRF-20-110(HRF-20-110)
4th rowHR-2-70(HR-2-70)
5th rowR-630-150
ValueCountFrequency (%)
hr-60-p 4
 
8.3%
d-60-p 3
 
6.2%
r-700-150 2
 
4.2%
dctp-99-p 2
 
4.2%
r-500-125 2
 
4.2%
bhr-100-p 1
 
2.1%
hr-400-150-drx-revolution 1
 
2.1%
hr-105-p 1
 
2.1%
wct-200-140 1
 
2.1%
dctp-110-p 1
 
2.1%
Other values (30) 30
62.5%
2023-12-12T17:52:14.499466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 120
22.6%
0 75
14.1%
R 43
 
8.1%
P 39
 
7.3%
H 32
 
6.0%
1 32
 
6.0%
9 18
 
3.4%
5 18
 
3.4%
2 17
 
3.2%
6 17
 
3.2%
Other values (23) 120
22.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 202
38.0%
Uppercase Letter 185
34.8%
Dash Punctuation 120
22.6%
Close Punctuation 11
 
2.1%
Open Punctuation 11
 
2.1%
Other Punctuation 2
 
0.4%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
R 43
23.2%
P 39
21.1%
H 32
17.3%
D 14
 
7.6%
B 13
 
7.0%
C 12
 
6.5%
T 11
 
5.9%
F 6
 
3.2%
I 3
 
1.6%
W 2
 
1.1%
Other values (9) 10
 
5.4%
Decimal Number
ValueCountFrequency (%)
0 75
37.1%
1 32
15.8%
9 18
 
8.9%
5 18
 
8.9%
2 17
 
8.4%
6 17
 
8.4%
8 9
 
4.5%
7 8
 
4.0%
3 4
 
2.0%
4 4
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 120
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 346
65.2%
Latin 185
34.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
R 43
23.2%
P 39
21.1%
H 32
17.3%
D 14
 
7.6%
B 13
 
7.0%
C 12
 
6.5%
T 11
 
5.9%
F 6
 
3.2%
I 3
 
1.6%
W 2
 
1.1%
Other values (9) 10
 
5.4%
Common
ValueCountFrequency (%)
- 120
34.7%
0 75
21.7%
1 32
 
9.2%
9 18
 
5.2%
5 18
 
5.2%
2 17
 
4.9%
6 17
 
4.9%
) 11
 
3.2%
( 11
 
3.2%
8 9
 
2.6%
Other values (4) 18
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 531
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 120
22.6%
0 75
14.1%
R 43
 
8.1%
P 39
 
7.3%
H 32
 
6.0%
1 32
 
6.0%
9 18
 
3.4%
5 18
 
3.4%
2 17
 
3.2%
6 17
 
3.2%
Other values (23) 120
22.6%

제조번호
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2023-12-12T17:52:14.802283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length14.5
Mean length9.2291667
Min length3

Characters and Unicode

Total characters443
Distinct characters33
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)100.0%

Sample

1st row30011
2nd row1700031
3rd row89240499153
4th rowNRF100-01-5438
5th rowH020412L04S
ValueCountFrequency (%)
30011 1
 
2.1%
1700031 1
 
2.1%
8.30e+11 1
 
2.1%
17-0060 1
 
2.1%
298039hm9 1
 
2.1%
dnr114f127 1
 
2.1%
ntx-k15-0011 1
 
2.1%
894 1
 
2.1%
bmt-dexa-14-082 1
 
2.1%
bioxt81jafb-1514-0639 1
 
2.1%
Other values (38) 38
79.2%
2023-12-12T17:52:15.260530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 98
22.1%
1 70
15.8%
2 31
 
7.0%
3 23
 
5.2%
- 23
 
5.2%
9 21
 
4.7%
8 20
 
4.5%
4 20
 
4.5%
6 17
 
3.8%
5 17
 
3.8%
Other values (23) 103
23.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 332
74.9%
Uppercase Letter 84
 
19.0%
Dash Punctuation 23
 
5.2%
Other Punctuation 2
 
0.5%
Math Symbol 2
 
0.5%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
B 9
 
10.7%
A 8
 
9.5%
X 7
 
8.3%
M 6
 
7.1%
H 5
 
6.0%
L 5
 
6.0%
F 5
 
6.0%
E 5
 
6.0%
R 5
 
6.0%
D 4
 
4.8%
Other values (10) 25
29.8%
Decimal Number
ValueCountFrequency (%)
0 98
29.5%
1 70
21.1%
2 31
 
9.3%
3 23
 
6.9%
9 21
 
6.3%
8 20
 
6.0%
4 20
 
6.0%
6 17
 
5.1%
5 17
 
5.1%
7 15
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 359
81.0%
Latin 84
 
19.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
B 9
 
10.7%
A 8
 
9.5%
X 7
 
8.3%
M 6
 
7.1%
H 5
 
6.0%
L 5
 
6.0%
F 5
 
6.0%
E 5
 
6.0%
R 5
 
6.0%
D 4
 
4.8%
Other values (10) 25
29.8%
Common
ValueCountFrequency (%)
0 98
27.3%
1 70
19.5%
2 31
 
8.6%
3 23
 
6.4%
- 23
 
6.4%
9 21
 
5.8%
8 20
 
5.6%
4 20
 
5.6%
6 17
 
4.7%
5 17
 
4.7%
Other values (3) 19
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 443
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 98
22.1%
1 70
15.8%
2 31
 
7.0%
3 23
 
5.2%
- 23
 
5.2%
9 21
 
4.7%
8 20
 
4.5%
4 20
 
4.5%
6 17
 
3.8%
5 17
 
3.8%
Other values (23) 103
23.3%

제조연월일
Real number (ℝ)

HIGH CORRELATION 

Distinct47
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20127468
Minimum19980100
Maximum20220101
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2023-12-12T17:52:15.430981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19980100
5-th percentile20001070
Q120090476
median20140750
Q320180828
95-th percentile20200787
Maximum20220101
Range240001
Interquartile range (IQR)90352.25

Descriptive statistics

Standard deviation67107.203
Coefficient of variation (CV)0.0033341105
Kurtosis-0.63990687
Mean20127468
Median Absolute Deviation (MAD)44812.5
Skewness-0.71070897
Sum9.6611846 × 108
Variance4.5033767 × 109
MonotonicityNot monotonic
2023-12-12T17:52:15.596190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
20030801 2
 
4.2%
20220101 1
 
2.1%
20121000 1
 
2.1%
20170309 1
 
2.1%
20120200 1
 
2.1%
20140600 1
 
2.1%
20150713 1
 
2.1%
20001000 1
 
2.1%
20140900 1
 
2.1%
20140408 1
 
2.1%
Other values (37) 37
77.1%
ValueCountFrequency (%)
19980100 1
2.1%
20000601 1
2.1%
20001000 1
2.1%
20001201 1
2.1%
20010701 1
2.1%
20020200 1
2.1%
20030801 2
4.2%
20061001 1
2.1%
20061201 1
2.1%
20070400 1
2.1%
ValueCountFrequency (%)
20220101 1
2.1%
20210408 1
2.1%
20201101 1
2.1%
20200204 1
2.1%
20200201 1
2.1%
20200130 1
2.1%
20190701 1
2.1%
20190315 1
2.1%
20190121 1
2.1%
20190102 1
2.1%

의료기관명
Categorical

HIGH CORRELATION 

Distinct22
Distinct (%)45.8%
Missing0
Missing (%)0.0%
Memory size516.0 B
국군함평병원
8 
의료법인인성의료재단함평성심병원
4 
월야치과의원
3 
함평천지의원
3 
함평군보건소
3 
Other values (17)
27 

Length

Max length16
Median length6
Mean length7.125
Min length4

Unique

Unique7 ?
Unique (%)14.6%

Sample

1st row국군함평병원
2nd row국군함평치과병원
3rd row함평천지의원
4th row함평치과의원
5th row국군함평병원

Common Values

ValueCountFrequency (%)
국군함평병원 8
16.7%
의료법인인성의료재단함평성심병원 4
 
8.3%
월야치과의원 3
 
6.2%
함평천지의원 3
 
6.2%
함평군보건소 3
 
6.2%
함평하나내과의원 2
 
4.2%
함평치과의원 2
 
4.2%
하나의원 2
 
4.2%
하치과의원 2
 
4.2%
하나로플란트치과의원 2
 
4.2%
Other values (12) 17
35.4%

Length

2023-12-12T17:52:15.784192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
국군함평병원 8
16.3%
의료법인인성의료재단함평성심병원 4
 
8.2%
월야치과의원 3
 
6.1%
함평천지의원 3
 
6.1%
함평군보건소 3
 
6.1%
함평효치과의원 2
 
4.1%
우리연합의원 2
 
4.1%
학교사랑의원 2
 
4.1%
문장치과의원 2
 
4.1%
국군함평치과병원 2
 
4.1%
Other values (13) 18
36.7%

의료기관주소(도로명)
Categorical

HIGH CORRELATION 

Distinct21
Distinct (%)43.8%
Missing0
Missing (%)0.0%
Memory size516.0 B
전라남도 함평군 해보면 신해로 1027
10 
전라남도 함평군 함평읍 영수길 132, 함평성심병원
4 
전라남도 함평군 월야면 밀재로 1501-1
3 
전라남도 함평군 함평읍 중앙길 54-8
3 
전라남도 함평군 함평읍 광남길 75
3 
Other values (16)
25 

Length

Max length29
Median length26
Mean length22.354167
Min length19

Unique

Unique7 ?
Unique (%)14.6%

Sample

1st row전라남도 함평군 해보면 신해로 1027
2nd row전라남도 함평군 해보면 신해로 1027
3rd row전라남도 함평군 함평읍 광남길 75
4th row전라남도 함평군 함평읍 중앙길 80 (연합의원)
5th row전라남도 함평군 해보면 신해로 1027

Common Values

ValueCountFrequency (%)
전라남도 함평군 해보면 신해로 1027 10
20.8%
전라남도 함평군 함평읍 영수길 132, 함평성심병원 4
 
8.3%
전라남도 함평군 월야면 밀재로 1501-1 3
 
6.2%
전라남도 함평군 함평읍 중앙길 54-8 3
 
6.2%
전라남도 함평군 함평읍 광남길 75 3
 
6.2%
전라남도 함평군 함평읍 중앙길 134 2
 
4.2%
전라남도 함평군 함평읍 중앙길 80 (연합의원) 2
 
4.2%
전라남도 함평군 나산면 나산길 60 2
 
4.2%
전라남도 함평군 함평읍 중앙길 45 2
 
4.2%
전라남도 함평군 함평읍 내바람길 42, 함평농협 2층 2
 
4.2%
Other values (11) 15
31.2%

Length

2023-12-12T17:52:15.973317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전라남도 48
18.8%
함평군 48
18.8%
함평읍 25
 
9.8%
중앙길 14
 
5.5%
해보면 12
 
4.7%
신해로 10
 
3.9%
1027 10
 
3.9%
광남길 5
 
2.0%
밀재로 5
 
2.0%
학교면 4
 
1.6%
Other values (34) 75
29.3%

장비검사일자
Real number (ℝ)

Distinct34
Distinct (%)70.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20208504
Minimum20191120
Maximum20220726
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2023-12-12T17:52:16.142587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20191120
5-th percentile20194367
Q120200501
median20210416
Q320213440
95-th percentile20220587
Maximum20220726
Range29606
Interquartile range (IQR)12938.25

Descriptive statistics

Standard deviation8890.648
Coefficient of variation (CV)0.00043994587
Kurtosis-0.96684022
Mean20208504
Median Absolute Deviation (MAD)9750.5
Skewness-0.10997327
Sum9.7000821 × 108
Variance79043623
MonotonicityNot monotonic
2023-12-12T17:52:16.328303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
20210915 5
 
10.4%
20220331 2
 
4.2%
20220509 2
 
4.2%
20200616 2
 
4.2%
20211201 2
 
4.2%
20210125 2
 
4.2%
20220125 2
 
4.2%
20200327 2
 
4.2%
20191224 2
 
4.2%
20200218 2
 
4.2%
Other values (24) 25
52.1%
ValueCountFrequency (%)
20191120 1
2.1%
20191224 2
4.2%
20200203 1
2.1%
20200210 1
2.1%
20200217 1
2.1%
20200218 2
4.2%
20200228 1
2.1%
20200327 2
4.2%
20200421 1
2.1%
20200528 1
2.1%
ValueCountFrequency (%)
20220726 2
4.2%
20220629 1
2.1%
20220509 2
4.2%
20220421 1
2.1%
20220331 2
4.2%
20220207 1
2.1%
20220125 2
4.2%
20220113 1
2.1%
20211215 1
2.1%
20211201 2
4.2%

Interactions

2023-12-12T17:52:11.625177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:52:10.990479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:52:11.334347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:52:11.720725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:52:11.063332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:52:11.431517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:52:11.834174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:52:11.136654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:52:11.522269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:52:16.475712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호장비용도장치명칭장치모델명장치형식명제조번호제조연월일의료기관명의료기관주소(도로명)장비검사일자
번호1.0000.4950.5060.8990.9151.0000.9030.7850.7870.475
장비용도0.4951.0000.9001.0000.9691.0000.5890.0000.0000.697
장치명칭0.5060.9001.0000.9200.9631.0000.6060.0000.0000.626
장치모델명0.8991.0000.9201.0000.9941.0000.9070.0000.0000.574
장치형식명0.9150.9690.9630.9941.0001.0000.8300.0000.0000.829
제조번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
제조연월일0.9030.5890.6060.9070.8301.0001.0000.7660.7760.520
의료기관명0.7850.0000.0000.0000.0001.0000.7661.0001.0000.791
의료기관주소(도로명)0.7870.0000.0000.0000.0001.0000.7761.0001.0000.792
장비검사일자0.4750.6970.6260.5740.8291.0000.5200.7910.7921.000
2023-12-12T17:52:16.638820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장치명칭장비용도의료기관주소(도로명)의료기관명
장치명칭1.0000.4710.0000.000
장비용도0.4711.0000.0000.000
의료기관주소(도로명)0.0000.0001.0000.981
의료기관명0.0000.0000.9811.000
2023-12-12T17:52:16.784439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호제조연월일장비검사일자장비용도장치명칭의료기관명의료기관주소(도로명)
번호1.000-0.753-0.2880.2140.2210.3450.353
제조연월일-0.7531.0000.2480.2480.2940.3240.339
장비검사일자-0.2880.2481.0000.3270.2340.3620.374
장비용도0.2140.2480.3271.0000.4710.0000.000
장치명칭0.2210.2940.2340.4711.0000.0000.000
의료기관명0.3450.3240.3620.0000.0001.0000.981
의료기관주소(도로명)0.3530.3390.3740.0000.0000.9811.000

Missing values

2023-12-12T17:52:11.972073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:52:12.142388image/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

번호장비용도장치명칭장치모델명장치형식명제조번호제조연월일의료기관명의료기관주소(도로명)장비검사일자
01일반촬영이동형디지털진단용엑스선촬영장치DRX-RevolutionHR-400-150-DRX-REVOLUTION3001120220101국군함평병원전라남도 함평군 해보면 신해로 102720220629
12치과전산화 단층 촬영장치Orthophos S 3DCBCT(P)-16-90(CBCT(P)-16-90)170003120210408국군함평치과병원전라남도 함평군 해보면 신해로 102720211104
23투시(C-ARM)진단용 엑스선 발생기MCA-601HRF-20-110(HRF-20-110)8924049915320020200함평천지의원전라남도 함평군 함평읍 광남길 7520210422
34치과(구내촬영)진단용 엑스선 발생기NR-F100HR-2-70(HR-2-70)NRF100-01-543820201101함평치과의원전라남도 함평군 함평읍 중앙길 80 (연합의원)20220726
45일반촬영진단용 엑스선 장치INNOVISION-DXR-630-150H020412L04S20121123국군함평병원전라남도 함평군 해보면 신해로 102720200729
56일반촬영진단용 엑스선 발생기IZI 120GHR-120-100(HR-120-100)202ID-007S20200201함평군보건소전라남도 함평군 함평읍 중앙길 54-820200217
67일반촬영진단용 엑스선 발생기Mine2HR-2-60(HR-2-60)M20030020200204함평군보건소전라남도 함평군 함평읍 중앙길 54-820200228
78일반촬영진단용 엑스선 발생기Mine2HR-2-60M20018020200130국군함평병원전라남도 함평군 해보면 신해로 102720200210
89전신전산화 단층 촬영장치Revolution EVOWCT-600-140RE36A1900173YC20190701국군함평병원전라남도 함평군 해보면 신해로 102720191120
910골밀도전신용엑스선골밀도측정기FALCON-XBHR-86-P(BHR-86-P)LCX1903-03420190315하나의원전라남도 함평군 나산면 나산길 6020220509
번호장비용도장치명칭장치모델명장치형식명제조번호제조연월일의료기관명의료기관주소(도로명)장비검사일자
3839치과치과용 전산화 단층 촬영장치ImplagraphyDCT-90-PIMPLA-106020090401문장치과의원전라남도 함평군 해보면 밀재로 1294 (대성의원)20210427
3940골밀도진단용 엑스선 발생기DEXXUM TBHR-99-PAH1AB090500320090501의료법인인성의료재단함평성심병원전라남도 함평군 함평읍 영수길 132, 함평성심병원20191224
4041치과(파노라마·세팔로)치과진단용 엑스선 발생장치NPX-8800DP-80-P2200320120061201함평치과의원전라남도 함평군 함평읍 중앙길 80 (연합의원)20220726
4142촬영 및 투시진단용엑스선장치ZS-80I(0.3/0.8P324DK-85)RF-1000-1500161H1810520070400국군함평병원전라남도 함평군 해보면 신해로 102720211201
4243일반촬영진단용엑스선장치REX-525RIR-500-12506-066320061001의료법인인성의료재단함평성심병원전라남도 함평군 함평읍 영수길 132, 함평성심병원20220113
4344촬영 및 투시진단용 엑스선 장치DXG-5125RF-500-125927819980100함평하나내과의원전라남도 함평군 함평읍 중앙길 13420200528
4445치과(구내촬영)치과진단용 엑스선 발생장치MAX-GLSD-60-P581220030801나산보건지소전라남도 함평군 나산면 나산길 11820200218
4546치과(구내촬영)치과진단용엑스선발생장치MAX-GLSD-60-P581320030801학교보건지소전라남도 함평군 학교면 함영로 47220200218
4647유방촬영유방촬영용장치MXR-200MMIHR-49-PB02-00204520000601의료법인인성의료재단함평성심병원전라남도 함평군 함평읍 영수길 132, 함평성심병원20191224
4748치과(구내촬영)치과진단용엑스선발생장치MAX-GLSD-60-P489320010701노암치과의원전라남도 함평군 함평읍 중앙길 11620200203