Overview

Dataset statistics

Number of variables7
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory62.4 B

Variable types

DateTime1
Text3
Categorical2
Numeric1

Dataset

Description한국보훈복지의료공단 대구보훈병원 의료장비과에서 도입한 의료장비 현황입니다. 금액 1000천만원 이상의 자료입니다.
URLhttps://www.data.go.kr/data/15066418/fileData.do

Alerts

품명 has unique valuesUnique
납품금액 has unique valuesUnique
용도 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:26:12.070344
Analysis finished2023-12-12 22:26:12.678860
Duration0.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

취득일자
Date

Distinct22
Distinct (%)73.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2022-06-09 00:00:00
Maximum2022-12-29 00:00:00
2023-12-13T07:26:12.724616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:26:12.819955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

품명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-13T07:26:13.018686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length11
Mean length8.0333333
Min length3

Characters and Unicode

Total characters241
Distinct characters110
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row관절경시스템
2nd row혈액가스분석기
3rd row혈액생화학분석기
4th row위내시경스코프
5th row대장내시경스코프
ValueCountFrequency (%)
환자감시장치 3
 
7.5%
관절경시스템 1
 
2.5%
정형외과 1
 
2.5%
레이저수술기 1
 
2.5%
자동정제포장기 1
 
2.5%
가스마취기 1
 
2.5%
자외선치료기 1
 
2.5%
전자동약품분배캐비닛 1
 
2.5%
비뇨기과 1
 
2.5%
수술기구류 1
 
2.5%
Other values (28) 28
70.0%
2023-12-13T07:26:13.324561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 20
 
8.3%
10
 
4.1%
장 7
 
2.9%
수 7
 
2.9%
시 7
 
2.9%
자 7
 
2.9%
술 6
 
2.5%
경 5
 
2.1%
스 5
 
2.1%
혈 5
 
2.1%
Other values (100) 162
67.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 209
86.7%
Lowercase Letter 16
 
6.6%
Space Separator 10
 
4.1%
Uppercase Letter 4
 
1.7%
Dash Punctuation 2
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 20
 
9.6%
장 7
 
3.3%
수 7
 
3.3%
시 7
 
3.3%
자 7
 
3.3%
술 6
 
2.9%
경 5
 
2.4%
스 5
 
2.4%
혈 5
 
2.4%
용 4
 
1.9%
Other values (83) 136
65.1%
Lowercase Letter
ValueCountFrequency (%)
r 2
12.5%
y 2
12.5%
m 2
12.5%
e 2
12.5%
a 2
12.5%
o 1
6.2%
b 1
6.2%
i 1
6.2%
l 1
6.2%
s 1
6.2%
Uppercase Letter
ValueCountFrequency (%)
M 1
25.0%
C 1
25.0%
X 1
25.0%
S 1
25.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 209
86.7%
Latin 20
 
8.3%
Common 12
 
5.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 20
 
9.6%
장 7
 
3.3%
수 7
 
3.3%
시 7
 
3.3%
자 7
 
3.3%
술 6
 
2.9%
경 5
 
2.4%
스 5
 
2.4%
혈 5
 
2.4%
용 4
 
1.9%
Other values (83) 136
65.1%
Latin
ValueCountFrequency (%)
r 2
 
10.0%
y 2
 
10.0%
m 2
 
10.0%
e 2
 
10.0%
a 2
 
10.0%
M 1
 
5.0%
o 1
 
5.0%
b 1
 
5.0%
i 1
 
5.0%
l 1
 
5.0%
Other values (5) 5
25.0%
Common
ValueCountFrequency (%)
10
83.3%
- 2
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 209
86.7%
ASCII 32
 
13.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 20
 
9.6%
장 7
 
3.3%
수 7
 
3.3%
시 7
 
3.3%
자 7
 
3.3%
술 6
 
2.9%
경 5
 
2.4%
스 5
 
2.4%
혈 5
 
2.4%
용 4
 
1.9%
Other values (83) 136
65.1%
ASCII
ValueCountFrequency (%)
10
31.2%
r 2
 
6.2%
y 2
 
6.2%
m 2
 
6.2%
- 2
 
6.2%
e 2
 
6.2%
a 2
 
6.2%
M 1
 
3.1%
o 1
 
3.1%
b 1
 
3.1%
Other values (7) 7
21.9%

단위
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
set
26 
대
4 

Length

Max length3
Median length3
Mean length2.7333333
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
set 26
86.7%
대 4
 
13.3%

Length

2023-12-13T07:26:13.476938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:26:13.580937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
set 26
86.7%
대 4
 
13.3%

수량
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
1
24 
2
6 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row2
5th row2

Common Values

ValueCountFrequency (%)
1 24
80.0%
2 6
 
20.0%

Length

2023-12-13T07:26:13.685618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:26:13.769813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 24
80.0%
2 6
 
20.0%

납품금액
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3457217 × 108
Minimum13500000
Maximum1.349 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-13T07:26:13.863440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13500000
5-th percentile21430000
Q133725000
median74230000
Q31.143035 × 108
95-th percentile2.698 × 108
Maximum1.349 × 109
Range1.3355 × 109
Interquartile range (IQR)80578500

Descriptive statistics

Standard deviation2.4101864 × 108
Coefficient of variation (CV)1.7909992
Kurtosis24.035123
Mean1.3457217 × 108
Median Absolute Deviation (MAD)40930000
Skewness4.703582
Sum4.037165 × 109
Variance5.8089984 × 1016
MonotonicityNot monotonic
2023-12-13T07:26:13.982223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
117238000 1
 
3.3%
238000000 1
 
3.3%
29700000 1
 
3.3%
73260000 1
 
3.3%
68000000 1
 
3.3%
24400000 1
 
3.3%
40900000 1
 
3.3%
33000000 1
 
3.3%
26600000 1
 
3.3%
26550000 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
13500000 1
3.3%
19000000 1
3.3%
24400000 1
3.3%
26550000 1
3.3%
26600000 1
3.3%
29700000 1
3.3%
33000000 1
3.3%
33600000 1
3.3%
34100000 1
3.3%
37000000 1
3.3%
ValueCountFrequency (%)
1349000000 1
3.3%
277000000 1
3.3%
261000000 1
3.3%
238000000 1
3.3%
189000000 1
3.3%
184567000 1
3.3%
183000000 1
3.3%
117238000 1
3.3%
105500000 1
3.3%
104300000 1
3.3%

제작사(제조국)
Text

Distinct22
Distinct (%)73.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-13T07:26:14.161238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length15.5
Mean length7.9333333
Min length2

Characters and Unicode

Total characters238
Distinct characters62
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)60.0%

Sample

1st rowSmith&nephew
2nd rowSiemens
3rd rowBeckman Coulter. Inc
4th rowOlympus
5th rowOlympus
ValueCountFrequency (%)
philips 5
 
13.9%
olympus 4
 
11.1%
ge 2
 
5.6%
healthcare 2
 
5.6%
jvm 2
 
5.6%
smith&nephew 1
 
2.8%
verathon 1
 
2.8%
iridex 1
 
2.8%
natus 1
 
2.8%
smeg 1
 
2.8%
Other values (16) 16
44.4%
2023-12-13T07:26:14.459730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 15
 
6.3%
i 12
 
5.0%
l 12
 
5.0%
s 11
 
4.6%
m 10
 
4.2%
a 10
 
4.2%
p 9
 
3.8%
h 9
 
3.8%
n 7
 
2.9%
S 7
 
2.9%
Other values (52) 136
57.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 133
55.9%
Uppercase Letter 72
30.3%
Other Letter 19
 
8.0%
Space Separator 6
 
2.5%
Other Punctuation 3
 
1.3%
Close Punctuation 2
 
0.8%
Open Punctuation 2
 
0.8%
Decimal Number 1
 
0.4%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
S 7
 
9.7%
M 7
 
9.7%
I 7
 
9.7%
P 7
 
9.7%
O 5
 
6.9%
E 5
 
6.9%
A 4
 
5.6%
C 4
 
5.6%
V 3
 
4.2%
H 3
 
4.2%
Other values (11) 20
27.8%
Lowercase Letter
ValueCountFrequency (%)
e 15
11.3%
i 12
 
9.0%
l 12
 
9.0%
s 11
 
8.3%
m 10
 
7.5%
a 10
 
7.5%
p 9
 
6.8%
h 9
 
6.8%
n 7
 
5.3%
r 7
 
5.3%
Other values (10) 31
23.3%
Other Letter
ValueCountFrequency (%)
이 3
15.8%
스 2
 
10.5%
주 2
 
10.5%
제 1
 
5.3%
언 1
 
5.3%
사 1
 
5.3%
오 1
 
5.3%
바 1
 
5.3%
유 1
 
5.3%
블 1
 
5.3%
Other values (5) 5
26.3%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
& 1
33.3%
Space Separator
ValueCountFrequency (%)
6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 205
86.1%
Hangul 19
 
8.0%
Common 14
 
5.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 15
 
7.3%
i 12
 
5.9%
l 12
 
5.9%
s 11
 
5.4%
m 10
 
4.9%
a 10
 
4.9%
p 9
 
4.4%
h 9
 
4.4%
n 7
 
3.4%
S 7
 
3.4%
Other values (31) 103
50.2%
Hangul
ValueCountFrequency (%)
이 3
15.8%
스 2
 
10.5%
주 2
 
10.5%
제 1
 
5.3%
언 1
 
5.3%
사 1
 
5.3%
오 1
 
5.3%
바 1
 
5.3%
유 1
 
5.3%
블 1
 
5.3%
Other values (5) 5
26.3%
Common
ValueCountFrequency (%)
6
42.9%
) 2
 
14.3%
( 2
 
14.3%
. 2
 
14.3%
3 1
 
7.1%
& 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 219
92.0%
Hangul 19
 
8.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 15
 
6.8%
i 12
 
5.5%
l 12
 
5.5%
s 11
 
5.0%
m 10
 
4.6%
a 10
 
4.6%
p 9
 
4.1%
h 9
 
4.1%
n 7
 
3.2%
S 7
 
3.2%
Other values (37) 117
53.4%
Hangul
ValueCountFrequency (%)
이 3
15.8%
스 2
 
10.5%
주 2
 
10.5%
제 1
 
5.3%
언 1
 
5.3%
사 1
 
5.3%
오 1
 
5.3%
바 1
 
5.3%
유 1
 
5.3%
블 1
 
5.3%
Other values (5) 5
26.3%

용도
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-13T07:26:14.986536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length29
Mean length27.1
Min length8

Characters and Unicode

Total characters813
Distinct characters205
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row내시경을 이용하여 견관절, 슬관절 등 관절수술
2nd row혈액 내 산소량을 측정하여 폐기능 분석
3rd row간기능검사 등 이화학적 검사를 실시하여 환자 질환여부 판단
4th row식도 및 위, 십이지장을 관찰하고, 필요시 조직검사나 색소내시경 등을 통하여 이상 유무를 확인하고 위에 생기는 여러 질환진단
5th row대장암, 대장 용종, 대장염 등 대장에 생기는 여러 질환진단
ValueCountFrequency (%)
및 10
 
4.6%
등 9
 
4.2%
여러 3
 
1.4%
조제 3
 
1.4%
진단 3
 
1.4%
환자의 3
 
1.4%
수술환자 2
 
0.9%
신경과 2
 
0.9%
각종 2
 
0.9%
생기는 2
 
0.9%
Other values (168) 177
81.9%
2023-12-13T07:26:15.402042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
186
 
22.9%
, 20
 
2.5%
환 17
 
2.1%
기 15
 
1.8%
시 15
 
1.8%
자 14
 
1.7%
술 13
 
1.6%
이 13
 
1.6%
장 13
 
1.6%
여 12
 
1.5%
Other values (195) 495
60.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 598
73.6%
Space Separator 186
 
22.9%
Other Punctuation 20
 
2.5%
Lowercase Letter 3
 
0.4%
Decimal Number 2
 
0.2%
Dash Punctuation 1
 
0.1%
Uppercase Letter 1
 
0.1%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
환 17
 
2.8%
기 15
 
2.5%
시 15
 
2.5%
자 14
 
2.3%
술 13
 
2.2%
이 13
 
2.2%
장 13
 
2.2%
여 12
 
2.0%
수 12
 
2.0%
등 11
 
1.8%
Other values (184) 463
77.4%
Lowercase Letter
ValueCountFrequency (%)
y 1
33.3%
a 1
33.3%
r 1
33.3%
Decimal Number
ValueCountFrequency (%)
4 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
186
100.0%
Other Punctuation
ValueCountFrequency (%)
, 20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
X 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 598
73.6%
Common 211
 
26.0%
Latin 4
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
환 17
 
2.8%
기 15
 
2.5%
시 15
 
2.5%
자 14
 
2.3%
술 13
 
2.2%
이 13
 
2.2%
장 13
 
2.2%
여 12
 
2.0%
수 12
 
2.0%
등 11
 
1.8%
Other values (184) 463
77.4%
Common
ValueCountFrequency (%)
186
88.2%
, 20
 
9.5%
4 1
 
0.5%
2 1
 
0.5%
- 1
 
0.5%
) 1
 
0.5%
( 1
 
0.5%
Latin
ValueCountFrequency (%)
y 1
25.0%
a 1
25.0%
r 1
25.0%
X 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 598
73.6%
ASCII 215
 
26.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
186
86.5%
, 20
 
9.3%
4 1
 
0.5%
2 1
 
0.5%
y 1
 
0.5%
a 1
 
0.5%
r 1
 
0.5%
- 1
 
0.5%
X 1
 
0.5%
) 1
 
0.5%
Hangul
ValueCountFrequency (%)
환 17
 
2.8%
기 15
 
2.5%
시 15
 
2.5%
자 14
 
2.3%
술 13
 
2.2%
이 13
 
2.2%
장 13
 
2.2%
여 12
 
2.0%
수 12
 
2.0%
등 11
 
1.8%
Other values (184) 463
77.4%

Interactions

2023-12-13T07:26:12.412053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:26:15.504085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
취득일자품명단위수량납품금액제작사(제조국)용도
취득일자1.0001.0000.2480.9330.9620.9681.000
품명1.0001.0001.0001.0001.0001.0001.000
단위0.2481.0001.0000.0000.0001.0001.000
수량0.9331.0000.0001.0000.0000.0001.000
납품금액0.9621.0000.0000.0001.0000.0001.000
제작사(제조국)0.9681.0001.0000.0000.0001.0001.000
용도1.0001.0001.0001.0001.0001.0001.000
2023-12-13T07:26:15.602907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단위수량
단위1.0000.000
수량0.0001.000
2023-12-13T07:26:15.691385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
납품금액단위수량
납품금액1.0000.0000.000
단위0.0001.0000.000
수량0.0000.0001.000

Missing values

2023-12-13T07:26:12.516593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:26:12.642664image/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

취득일자품명단위수량납품금액제작사(제조국)용도
02022-12-29관절경시스템set1117238000Smith&nephew내시경을 이용하여 견관절, 슬관절 등 관절수술
12022-12-28혈액가스분석기set113500000Siemens혈액 내 산소량을 측정하여 폐기능 분석
22022-12-28혈액생화학분석기set1189000000Beckman Coulter. Inc간기능검사 등 이화학적 검사를 실시하여 환자 질환여부 판단
32022-12-19위내시경스코프set294000000Olympus식도 및 위, 십이지장을 관찰하고, 필요시 조직검사나 색소내시경 등을 통하여 이상 유무를 확인하고 위에 생기는 여러 질환진단
42022-12-19대장내시경스코프set2102000000Olympus대장암, 대장 용종, 대장염 등 대장에 생기는 여러 질환진단
52022-12-14심혈관촬영기set11349000000Philips혈관중재시술 및 부정맥 시술
62022-12-01초음파수술기set164000000MISONIX초음파를 이용하여 수술부위의 뼈를 절단
72022-11-17응급실 환자감시장치set233600000Philips응급환자 맥박, 체온, 혈중산소농도 등 상태감시
82022-11-17중앙집중식 환자감시장치set275200000Philips각 환자감시장치의 정보를 중앙으로 일괄 감시
92022-11-17수술실 환자감시장치set2104300000Philips수술환자 생체신호 등 상태관찰
취득일자품명단위수량납품금액제작사(제조국)용도
202022-08-09자외선치료기대134100000(주)조양메딕스건선, 백반증, 소양증, 아토피 등 여러 피부질환 치료
212022-08-09전자동약품분배캐비닛set2183000000JVM마약류 자동 불출 및 관리
222022-08-01비뇨기과 수술기구류set126550000Olympus비뇨기과 방광내시경을 이용한 수술기구
232022-07-22정형외과 수지수술기구set126600000AESCULAP정형외과 수술용 기구류
242022-07-22수술용무영등대133000000제이더블유바이오사이언스(주)조명도와 연색성이 높고 방사열 및 손 그림자 방지로 수술 시 환부를 잘 볼 수 있는 조명기구
252022-07-13혈액응고분석기set140900000Sysmex Co.혈액응고도 검사
262022-07-12변기용세척기대124400000SMEG대, 소변기 세척
272022-06-24근전도검사기set168000000Natus말초 신경과 근육에서 발생하는 전기적 활동성을 측정하여 신경과 근육의 질환 진단 및 경과관찰
282022-06-21홀터심전도기set173260000GE Healthcare24시간 심전도 측정 기록
292022-06-09비디오 후두경set129700000Verathon Medical고령수술환자 전신 마취시 기도 확보