Overview

Dataset statistics

Number of variables10
Number of observations28
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory87.7 B

Variable types

Numeric3
Categorical3
Text3
DateTime1

Dataset

Description충청북도 단양군_진단용방사선발생장치 데이터로 번호, 장비사용구분, 장비용도, 장비모델명, 장비검사예정일자, 의료기관명, 의료기관주소(도로명) 등의 항목을 포함함.
Author충청북도 단양군
URLhttps://www.data.go.kr/data/15031423/fileData.do

Alerts

장비사용구분 has constant value ""Constant
데이터기준일자 has constant value ""Constant
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:59:36.836971
Analysis finished2023-12-12 05:59:38.542720
Duration1.71 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.5
Minimum1
Maximum28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-12T14:59:38.612083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.35
Q17.75
median14.5
Q321.25
95-th percentile26.65
Maximum28
Range27
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation8.2259751
Coefficient of variation (CV)0.56730863
Kurtosis-1.2
Mean14.5
Median Absolute Deviation (MAD)7
Skewness0
Sum406
Variance67.666667
MonotonicityStrictly increasing
2023-12-12T14:59:38.781242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
1 1
 
3.6%
16 1
 
3.6%
28 1
 
3.6%
27 1
 
3.6%
26 1
 
3.6%
25 1
 
3.6%
24 1
 
3.6%
23 1
 
3.6%
22 1
 
3.6%
21 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
1 1
3.6%
2 1
3.6%
3 1
3.6%
4 1
3.6%
5 1
3.6%
6 1
3.6%
7 1
3.6%
8 1
3.6%
9 1
3.6%
10 1
3.6%
ValueCountFrequency (%)
28 1
3.6%
27 1
3.6%
26 1
3.6%
25 1
3.6%
24 1
3.6%
23 1
3.6%
22 1
3.6%
21 1
3.6%
20 1
3.6%
19 1
3.6%

장비사용구분
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
사용중
28 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row사용중
2nd row사용중
3rd row사용중
4th row사용중
5th row사용중

Common Values

ValueCountFrequency (%)
사용중 28
100.0%

Length

2023-12-12T14:59:38.926585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:59:39.029551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사용중 28
100.0%

장비용도
Categorical

Distinct9
Distinct (%)32.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
치과(구내촬영)
7 
일반촬영
6 
치과
5 
골밀도
4 
이동용
2 
Other values (4)
4 

Length

Max length12
Median length8.5
Mean length5
Min length2

Unique

Unique4 ?
Unique (%)14.3%

Sample

1st row일반촬영
2nd row골밀도
3rd row일반촬영
4th row치과
5th row유방촬영

Common Values

ValueCountFrequency (%)
치과(구내촬영) 7
25.0%
일반촬영 6
21.4%
치과 5
17.9%
골밀도 4
14.3%
이동용 2
 
7.1%
유방촬영 1
 
3.6%
치과용CT 및 파노라마 1
 
3.6%
디지탈 X선 촬영 1
 
3.6%
촬영 및 투시 1
 
3.6%

Length

2023-12-12T14:59:39.136616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:59:39.272598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
치과(구내촬영 7
20.6%
일반촬영 6
17.6%
치과 5
14.7%
골밀도 4
11.8%
이동용 2
 
5.9%
및 2
 
5.9%
촬영 2
 
5.9%
유방촬영 1
 
2.9%
치과용ct 1
 
2.9%
파노라마 1
 
2.9%
Other values (3) 3
8.8%

장치모델명
Text

Distinct22
Distinct (%)78.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-12T14:59:39.483213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13.5
Mean length8
Min length4

Characters and Unicode

Total characters224
Distinct characters50
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)57.1%

Sample

1st rowREX-525R
2nd rowDEXXUM T Quantum
3rd rowMMX-56
4th rowPHT-35LHS
5th rowPinkview-DR Smart
ValueCountFrequency (%)
dexxum 3
 
8.1%
t 3
 
8.1%
dkⅱ-525r 2
 
5.4%
lx 2
 
5.4%
7 2
 
5.4%
max-gls 2
 
5.4%
pht-35lhs 2
 
5.4%
prox 2
 
5.4%
pht-6500 1
 
2.7%
x 1
 
2.7%
Other values (17) 17
45.9%
2023-12-12T14:59:39.846984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
X 21
 
9.4%
- 17
 
7.6%
D 14
 
6.2%
R 13
 
5.8%
5 10
 
4.5%
9
 
4.0%
P 9
 
4.0%
0 9
 
4.0%
M 8
 
3.6%
T 8
 
3.6%
Other values (40) 106
47.3%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 119
53.1%
Lowercase Letter 44
 
19.6%
Decimal Number 33
 
14.7%
Dash Punctuation 17
 
7.6%
Space Separator 9
 
4.0%
Letter Number 2
 
0.9%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
X 21
17.6%
D 14
11.8%
R 13
10.9%
P 9
7.6%
M 8
 
6.7%
T 8
 
6.7%
S 8
 
6.7%
E 7
 
5.9%
L 6
 
5.0%
H 5
 
4.2%
Other values (10) 20
16.8%
Lowercase Letter
ValueCountFrequency (%)
a 8
18.2%
m 4
 
9.1%
i 4
 
9.1%
r 4
 
9.1%
y 3
 
6.8%
o 3
 
6.8%
v 2
 
4.5%
p 2
 
4.5%
u 2
 
4.5%
t 2
 
4.5%
Other values (9) 10
22.7%
Decimal Number
ValueCountFrequency (%)
5 10
30.3%
0 9
27.3%
6 4
 
12.1%
2 4
 
12.1%
3 2
 
6.1%
7 2
 
6.1%
8 1
 
3.0%
1 1
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 165
73.7%
Common 59
 
26.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
X 21
 
12.7%
D 14
 
8.5%
R 13
 
7.9%
P 9
 
5.5%
M 8
 
4.8%
T 8
 
4.8%
a 8
 
4.8%
S 8
 
4.8%
E 7
 
4.2%
L 6
 
3.6%
Other values (30) 63
38.2%
Common
ValueCountFrequency (%)
- 17
28.8%
5 10
16.9%
9
15.3%
0 9
15.3%
6 4
 
6.8%
2 4
 
6.8%
3 2
 
3.4%
7 2
 
3.4%
8 1
 
1.7%
1 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 222
99.1%
Number Forms 2
 
0.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
X 21
 
9.5%
- 17
 
7.7%
D 14
 
6.3%
R 13
 
5.9%
5 10
 
4.5%
9
 
4.1%
P 9
 
4.1%
0 9
 
4.1%
M 8
 
3.6%
T 8
 
3.6%
Other values (39) 104
46.8%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%

장비검사예정일자
Date

Distinct21
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
Minimum2021-01-02 00:00:00
Maximum2024-04-05 00:00:00
2023-12-12T14:59:39.971548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:59:40.106311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

의료기관명
Text

Distinct14
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-12T14:59:40.301898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8.5
Mean length7
Min length4

Characters and Unicode

Total characters196
Distinct characters42
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)10.7%

Sample

1st row중앙내과연합의원
2nd row중앙내과연합의원
3rd row단양군보건소
4th row서울치과의원
5th row중앙내과연합의원
ValueCountFrequency (%)
단양군보건소 4
14.3%
중앙내과연합의원 3
10.7%
서울치과의원 2
 
7.1%
단양군립노인요양병원 2
 
7.1%
연세드림치과의원 2
 
7.1%
단양정치과의원 2
 
7.1%
서울삼성의원 2
 
7.1%
탑치과의원 2
 
7.1%
늘편한정형외과의원 2
 
7.1%
단양수치과의원 2
 
7.1%
Other values (4) 5
17.9%
2023-12-12T14:59:40.668638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 23
 
11.7%
의 21
 
10.7%
과 17
 
8.7%
양 14
 
7.1%
단 12
 
6.1%
치 12
 
6.1%
군 7
 
3.6%
보 5
 
2.6%
건 5
 
2.6%
소 5
 
2.6%
Other values (32) 75
38.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 196
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 23
 
11.7%
의 21
 
10.7%
과 17
 
8.7%
양 14
 
7.1%
단 12
 
6.1%
치 12
 
6.1%
군 7
 
3.6%
보 5
 
2.6%
건 5
 
2.6%
소 5
 
2.6%
Other values (32) 75
38.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 196
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 23
 
11.7%
의 21
 
10.7%
과 17
 
8.7%
양 14
 
7.1%
단 12
 
6.1%
치 12
 
6.1%
군 7
 
3.6%
보 5
 
2.6%
건 5
 
2.6%
소 5
 
2.6%
Other values (32) 75
38.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 196
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 23
 
11.7%
의 21
 
10.7%
과 17
 
8.7%
양 14
 
7.1%
단 12
 
6.1%
치 12
 
6.1%
군 7
 
3.6%
보 5
 
2.6%
건 5
 
2.6%
소 5
 
2.6%
Other values (32) 75
38.3%

의료기관주소(도로명)
Text

Distinct14
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-12T14:59:40.901967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length28
Mean length23.25
Min length20

Characters and Unicode

Total characters651
Distinct characters51
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)10.7%

Sample

1st row충청북도 단양군 단양읍 삼봉로 302, 2층
2nd row충청북도 단양군 단양읍 삼봉로 302, 2층
3rd row충청북도 단양군 단양읍 삼봉로 53 (단양군보건소)
4th row충청북도 단양군 단양읍 중앙1로 42, 2층
5th row충청북도 단양군 단양읍 삼봉로 302, 2층
ValueCountFrequency (%)
충청북도 28
18.1%
단양군 28
18.1%
단양읍 24
15.5%
삼봉로 18
11.6%
2층 9
 
5.8%
53 4
 
2.6%
단양군보건소 4
 
2.6%
매포읍 3
 
1.9%
302 3
 
1.9%
296 2
 
1.3%
Other values (19) 32
20.6%
2023-12-12T14:59:41.468048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
127
19.5%
단 58
 
8.9%
양 58
 
8.9%
군 32
 
4.9%
도 30
 
4.6%
충 28
 
4.3%
북 28
 
4.3%
청 28
 
4.3%
2 28
 
4.3%
읍 27
 
4.1%
Other values (41) 207
31.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 413
63.4%
Space Separator 127
 
19.5%
Decimal Number 88
 
13.5%
Other Punctuation 9
 
1.4%
Close Punctuation 6
 
0.9%
Open Punctuation 6
 
0.9%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
단 58
14.0%
양 58
14.0%
군 32
 
7.7%
도 30
 
7.3%
충 28
 
6.8%
북 28
 
6.8%
청 28
 
6.8%
읍 27
 
6.5%
로 25
 
6.1%
삼 18
 
4.4%
Other values (26) 81
19.6%
Decimal Number
ValueCountFrequency (%)
2 28
31.8%
3 13
14.8%
0 11
 
12.5%
1 10
 
11.4%
9 9
 
10.2%
6 6
 
6.8%
5 4
 
4.5%
4 4
 
4.5%
7 2
 
2.3%
8 1
 
1.1%
Space Separator
ValueCountFrequency (%)
127
100.0%
Other Punctuation
ValueCountFrequency (%)
, 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 413
63.4%
Common 238
36.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
단 58
14.0%
양 58
14.0%
군 32
 
7.7%
도 30
 
7.3%
충 28
 
6.8%
북 28
 
6.8%
청 28
 
6.8%
읍 27
 
6.5%
로 25
 
6.1%
삼 18
 
4.4%
Other values (26) 81
19.6%
Common
ValueCountFrequency (%)
127
53.4%
2 28
 
11.8%
3 13
 
5.5%
0 11
 
4.6%
1 10
 
4.2%
9 9
 
3.8%
, 9
 
3.8%
) 6
 
2.5%
( 6
 
2.5%
6 6
 
2.5%
Other values (5) 13
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 413
63.4%
ASCII 238
36.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
127
53.4%
2 28
 
11.8%
3 13
 
5.5%
0 11
 
4.6%
1 10
 
4.2%
9 9
 
3.8%
, 9
 
3.8%
) 6
 
2.5%
( 6
 
2.5%
6 6
 
2.5%
Other values (5) 13
 
5.5%
Hangul
ValueCountFrequency (%)
단 58
14.0%
양 58
14.0%
군 32
 
7.7%
도 30
 
7.3%
충 28
 
6.8%
북 28
 
6.8%
청 28
 
6.8%
읍 27
 
6.5%
로 25
 
6.1%
삼 18
 
4.4%
Other values (26) 81
19.6%

위도
Real number (ℝ)

Distinct14
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.992437
Minimum36.981421
Maximum37.076838
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-12T14:59:41.749819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.981421
5-th percentile36.981421
Q136.983063
median36.983595
Q336.986018
95-th percentile37.034129
Maximum37.076838
Range0.095417
Interquartile range (IQR)0.002955

Descriptive statistics

Standard deviation0.022962652
Coefficient of variation (CV)0.00062073908
Kurtosis6.6160028
Mean36.992437
Median Absolute Deviation (MAD)0.0017375
Skewness2.6380041
Sum1035.7882
Variance0.00052728337
MonotonicityNot monotonic
2023-12-12T14:59:42.014813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
36.981421 4
14.3%
36.983562 3
10.7%
36.986018 2
 
7.1%
36.987233 2
 
7.1%
36.983595 2
 
7.1%
36.981741 2
 
7.1%
36.983292 2
 
7.1%
37.034129 2
 
7.1%
36.985216 2
 
7.1%
36.983705 2
 
7.1%
Other values (4) 5
17.9%
ValueCountFrequency (%)
36.981421 4
14.3%
36.981741 2
7.1%
36.983063 2
7.1%
36.983292 2
7.1%
36.983562 3
10.7%
36.983595 2
7.1%
36.983705 2
7.1%
36.984939 1
 
3.6%
36.985216 2
7.1%
36.986018 2
7.1%
ValueCountFrequency (%)
37.076838 1
 
3.6%
37.034129 2
7.1%
37.034117 1
 
3.6%
36.987233 2
7.1%
36.986018 2
7.1%
36.985216 2
7.1%
36.984939 1
 
3.6%
36.983705 2
7.1%
36.983595 2
7.1%
36.983562 3
10.7%

경도
Real number (ℝ)

Distinct14
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.36088
Minimum128.29664
Maximum128.48185
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-12T14:59:42.254890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.29664
5-th percentile128.29685
Q1128.36184
median128.36694
Q3128.36724
95-th percentile128.3675
Maximum128.48185
Range0.185211
Interquartile range (IQR)0.00540625

Descriptive statistics

Standard deviation0.032426201
Coefficient of variation (CV)0.00025261748
Kurtosis7.7169756
Mean128.36088
Median Absolute Deviation (MAD)0.000411
Skewness1.1445198
Sum3594.1045
Variance0.0010514585
MonotonicityNot monotonic
2023-12-12T14:59:42.518122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
128.34778 4
14.3%
128.367245 3
10.7%
128.366937 2
 
7.1%
128.366526 2
 
7.1%
128.366751 2
 
7.1%
128.366525 2
 
7.1%
128.367217 2
 
7.1%
128.29664 2
 
7.1%
128.367505 2
 
7.1%
128.367275 2
 
7.1%
Other values (4) 5
17.9%
ValueCountFrequency (%)
128.29664 2
7.1%
128.297229 1
 
3.6%
128.34778 4
14.3%
128.366525 2
7.1%
128.366526 2
7.1%
128.366751 2
7.1%
128.366937 2
7.1%
128.367182 2
7.1%
128.367217 2
7.1%
128.367245 3
10.7%
ValueCountFrequency (%)
128.481851 1
 
3.6%
128.367505 2
7.1%
128.36746 1
 
3.6%
128.367275 2
7.1%
128.367245 3
10.7%
128.367217 2
7.1%
128.367182 2
7.1%
128.366937 2
7.1%
128.366751 2
7.1%
128.366526 2
7.1%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
2022-10-30
28 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-10-30
2nd row2022-10-30
3rd row2022-10-30
4th row2022-10-30
5th row2022-10-30

Common Values

ValueCountFrequency (%)
2022-10-30 28
100.0%

Length

2023-12-12T14:59:42.813900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:59:42.973811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-10-30 28
100.0%

Interactions

2023-12-12T14:59:37.863074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:59:37.214668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:59:37.539963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:59:37.987584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:59:37.328053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:59:37.663272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:59:38.085836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:59:37.429247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:59:37.751939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:59:43.054559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호장비용도장치모델명장비검사예정일자의료기관명의료기관주소(도로명)위도경도
번호1.0000.4920.8790.5630.2310.2310.0000.000
장비용도0.4921.0000.8210.8920.0000.0000.0000.000
장치모델명0.8790.8211.0000.0000.0000.0000.0000.000
장비검사예정일자0.5630.8920.0001.0000.9970.9971.0000.989
의료기관명0.2310.0000.0000.9971.0001.0001.0001.000
의료기관주소(도로명)0.2310.0000.0000.9971.0001.0001.0001.000
위도0.0000.0000.0001.0001.0001.0001.0001.000
경도0.0000.0000.0000.9891.0001.0001.0001.000
2023-12-12T14:59:43.524699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호위도경도장비용도
번호1.0000.0470.1830.208
위도0.0471.0000.1620.000
경도0.1830.1621.0000.000
장비용도0.2080.0000.0001.000

Missing values

2023-12-12T14:59:38.244287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:59:38.462401image/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

번호장비사용구분장비용도장치모델명장비검사예정일자의료기관명의료기관주소(도로명)위도경도데이터기준일자
01사용중일반촬영REX-525R2023-10-28중앙내과연합의원충청북도 단양군 단양읍 삼봉로 302, 2층36.983562128.3672452022-10-30
12사용중골밀도DEXXUM T Quantum2023-10-27중앙내과연합의원충청북도 단양군 단양읍 삼봉로 302, 2층36.983562128.3672452022-10-30
23사용중일반촬영MMX-562023-03-18단양군보건소충청북도 단양군 단양읍 삼봉로 53 (단양군보건소)36.981421128.347782022-10-30
34사용중치과PHT-35LHS2022-09-25서울치과의원충청북도 단양군 단양읍 중앙1로 42, 2층36.986018128.3669372022-10-30
45사용중유방촬영Pinkview-DR Smart2022-04-15중앙내과연합의원충청북도 단양군 단양읍 삼봉로 302, 2층36.983562128.3672452022-10-30
56사용중이동용MobiX-10002021-12-31단양군립노인요양병원충청북도 단양군 단양읍 별곡6길 1036.987233128.3665262022-10-30
67사용중일반촬영DRS-6002021-12-31단양군립노인요양병원충청북도 단양군 단양읍 별곡6길 1036.987233128.3665262022-10-30
78사용중치과용CT 및 파노라마PHT-35LHS2024-04-05연세드림치과의원충청북도 단양군 단양읍 삼봉로 299, 2층36.983595128.3667512022-10-30
89사용중치과PaX-Primo2021-09-12단양정치과의원충청북도 단양군 단양읍 삼봉로 27936.981741128.3665252022-10-30
910사용중이동용PROX2021-07-23연세드림치과의원충청북도 단양군 단양읍 삼봉로 299, 2층36.983595128.3667512022-10-30
번호장비사용구분장비용도장치모델명장비검사예정일자의료기관명의료기관주소(도로명)위도경도데이터기준일자
1819사용중치과(구내촬영)REXTAR X2021-01-24단양수치과의원충청북도 단양군 단양읍 삼봉로 302-1 (단양수치과의원)36.983705128.3672752022-10-30
1920사용중치과DENTRI2021-01-24단양수치과의원충청북도 단양군 단양읍 삼봉로 302-1 (단양수치과의원)36.983705128.3672752022-10-30
2021사용중디지탈 X선 촬영CXD-DR80D2022-10-08단양군보건소충청북도 단양군 단양읍 삼봉로 53 (단양군보건소)36.981421128.347782022-10-30
2122사용중치과PHT-65002022-01-30유재용치과의원충청북도 단양군 단양읍 삼봉로 29636.983063128.3671822022-10-30
2223사용중일반촬영LX 72022-05-07삼성의원충청북도 단양군 매포읍 평동18길 637.034117128.2972292022-10-30
2324사용중촬영 및 투시DKⅡ-525R2024-03-25늘편한정형외과의원충청북도 단양군 단양읍 삼봉로 32036.985216128.3675052022-10-30
2425사용중일반촬영DKⅡ-525R2022-05-28단양의원충청북도 단양군 단양읍 삼봉로 31636.984939128.367462022-10-30
2526사용중치과(구내촬영)DS-S2021-09-12단양정치과의원충청북도 단양군 단양읍 삼봉로 27936.981741128.3665252022-10-30
2627사용중치과(구내촬영)MAX-GLS2023-06-24단양군영춘면보건지소충청북도 단양군 영춘면 온달평강로 3937.076838128.4818512022-10-30
2728사용중치과(구내촬영)MAX-GLS2022-01-30유재용치과의원충청북도 단양군 단양읍 삼봉로 29636.983063128.3671822022-10-30