Overview

Dataset statistics

Number of variables8
Number of observations245
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.7 KiB
Average record size in memory65.5 B

Variable types

Numeric1
Text4
Categorical3

Dataset

Description충청북도 제천시의 진단용방사선발생장치 및 특수장비 현황- 의료기관명- 의료기관주소(도로명)- 장비용도- 장치모델명- 제조사- 제조국명
Author충청북도 제천시
URLhttps://www.data.go.kr/data/15030933/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
제조국명 is highly imbalanced (64.9%)Imbalance
번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 16:15:39.528113
Analysis finished2024-03-14 16:15:41.515410
Duration1.99 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct245
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean123
Minimum1
Maximum245
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-03-15T01:15:41.730827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13.2
Q162
median123
Q3184
95-th percentile232.8
Maximum245
Range244
Interquartile range (IQR)122

Descriptive statistics

Standard deviation70.869599
Coefficient of variation (CV)0.5761756
Kurtosis-1.2
Mean123
Median Absolute Deviation (MAD)61
Skewness0
Sum30135
Variance5022.5
MonotonicityStrictly increasing
2024-03-15T01:15:42.132587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
155 1
 
0.4%
157 1
 
0.4%
158 1
 
0.4%
159 1
 
0.4%
160 1
 
0.4%
161 1
 
0.4%
162 1
 
0.4%
163 1
 
0.4%
164 1
 
0.4%
Other values (235) 235
95.9%
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 (%)
245 1
0.4%
244 1
0.4%
243 1
0.4%
242 1
0.4%
241 1
0.4%
240 1
0.4%
239 1
0.4%
238 1
0.4%
237 1
0.4%
236 1
0.4%

의료기관명
Text

Distinct99
Distinct (%)40.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-03-15T01:15:43.125985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length18
Mean length9.8040816
Min length4

Characters and Unicode

Total characters2402
Distinct characters164
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

Unique19 ?
Unique (%)7.8%

Sample

1st row두손치과의원
2nd row의료법인 명지의료재단 명지병원
3rd row의료법인자산의료재단제천서울병원
4th row의료법인 명지의료재단 명지병원
5th row의료법인 명지의료재단 명지병원
ValueCountFrequency (%)
의료법인 31
 
10.1%
명지의료재단 19
 
6.2%
의료법인자산의료재단제천서울병원 19
 
6.2%
명지병원 17
 
5.5%
성지의료재단 9
 
2.9%
제천성지병원 9
 
2.9%
제천밝은미래영상의학과의원 4
 
1.3%
서울연합내과의원 4
 
1.3%
제천영상의학과의원 4
 
1.3%
제천하나요양병원 3
 
1.0%
Other values (93) 188
61.2%
2024-03-15T01:15:45.184442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 312
 
13.0%
원 252
 
10.5%
과 180
 
7.5%
료 110
 
4.6%
치 98
 
4.1%
인 69
 
2.9%
재 64
 
2.7%
62
 
2.6%
법 57
 
2.4%
단 57
 
2.4%
Other values (154) 1141
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2336
97.3%
Space Separator 62
 
2.6%
Dash Punctuation 2
 
0.1%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 312
 
13.4%
원 252
 
10.8%
과 180
 
7.7%
료 110
 
4.7%
치 98
 
4.2%
인 69
 
3.0%
재 64
 
2.7%
법 57
 
2.4%
단 57
 
2.4%
병 57
 
2.4%
Other values (151) 1080
46.2%
Space Separator
ValueCountFrequency (%)
62
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2336
97.3%
Common 64
 
2.7%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 312
 
13.4%
원 252
 
10.8%
과 180
 
7.7%
료 110
 
4.7%
치 98
 
4.2%
인 69
 
3.0%
재 64
 
2.7%
법 57
 
2.4%
단 57
 
2.4%
병 57
 
2.4%
Other values (151) 1080
46.2%
Common
ValueCountFrequency (%)
62
96.9%
- 2
 
3.1%
Latin
ValueCountFrequency (%)
e 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2336
97.3%
ASCII 66
 
2.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 312
 
13.4%
원 252
 
10.8%
과 180
 
7.7%
료 110
 
4.7%
치 98
 
4.2%
인 69
 
3.0%
재 64
 
2.7%
법 57
 
2.4%
단 57
 
2.4%
병 57
 
2.4%
Other values (151) 1080
46.2%
ASCII
ValueCountFrequency (%)
62
93.9%
- 2
 
3.0%
e 2
 
3.0%

의료기관주소(도로명)
Text

Distinct90
Distinct (%)36.7%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-03-15T01:15:46.368798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length37
Mean length26.726531
Min length19

Characters and Unicode

Total characters6548
Distinct characters109
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)4.9%

Sample

1st row충청북도 제천시 의림대로 222 (청전동)
2nd row충청북도 제천시 내토로 991-0 (고암동,의료법인명지의료재단명지병원)
3rd row충청북도 제천시 숭문로 57 (서부동)
4th row충청북도 제천시 내토로 991-0 (고암동,의료법인명지의료재단명지병원)
5th row충청북도 제천시 내토로 991-0 (고암동,의료법인명지의료재단명지병원)
ValueCountFrequency (%)
충청북도 245
18.3%
제천시 245
18.3%
의림대로 60
 
4.5%
중앙로2가 42
 
3.1%
남천동 41
 
3.1%
청전동 35
 
2.6%
용두천로 35
 
2.6%
중앙로1가 32
 
2.4%
2층 24
 
1.8%
57 19
 
1.4%
Other values (126) 564
42.0%
2024-03-15T01:15:47.639379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1097
 
16.8%
천 327
 
5.0%
로 319
 
4.9%
청 296
 
4.5%
제 250
 
3.8%
북 247
 
3.8%
시 247
 
3.8%
충 245
 
3.7%
도 245
 
3.7%
( 242
 
3.7%
Other values (99) 3033
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3942
60.2%
Space Separator 1097
 
16.8%
Decimal Number 885
 
13.5%
Open Punctuation 242
 
3.7%
Close Punctuation 242
 
3.7%
Other Punctuation 113
 
1.7%
Dash Punctuation 26
 
0.4%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 327
 
8.3%
로 319
 
8.1%
청 296
 
7.5%
제 250
 
6.3%
북 247
 
6.3%
시 247
 
6.3%
충 245
 
6.2%
도 245
 
6.2%
동 170
 
4.3%
의 137
 
3.5%
Other values (82) 1459
37.0%
Decimal Number
ValueCountFrequency (%)
1 217
24.5%
2 176
19.9%
9 75
 
8.5%
7 68
 
7.7%
3 66
 
7.5%
0 65
 
7.3%
5 64
 
7.2%
8 62
 
7.0%
4 54
 
6.1%
6 38
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 111
98.2%
. 2
 
1.8%
Space Separator
ValueCountFrequency (%)
1097
100.0%
Open Punctuation
ValueCountFrequency (%)
( 242
100.0%
Close Punctuation
ValueCountFrequency (%)
) 242
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3942
60.2%
Common 2606
39.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 327
 
8.3%
로 319
 
8.1%
청 296
 
7.5%
제 250
 
6.3%
북 247
 
6.3%
시 247
 
6.3%
충 245
 
6.2%
도 245
 
6.2%
동 170
 
4.3%
의 137
 
3.5%
Other values (82) 1459
37.0%
Common
ValueCountFrequency (%)
1097
42.1%
( 242
 
9.3%
) 242
 
9.3%
1 217
 
8.3%
2 176
 
6.8%
, 111
 
4.3%
9 75
 
2.9%
7 68
 
2.6%
3 66
 
2.5%
0 65
 
2.5%
Other values (7) 247
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3942
60.2%
ASCII 2606
39.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1097
42.1%
( 242
 
9.3%
) 242
 
9.3%
1 217
 
8.3%
2 176
 
6.8%
, 111
 
4.3%
9 75
 
2.9%
7 68
 
2.6%
3 66
 
2.5%
0 65
 
2.5%
Other values (7) 247
 
9.5%
Hangul
ValueCountFrequency (%)
천 327
 
8.3%
로 319
 
8.1%
청 296
 
7.5%
제 250
 
6.3%
북 247
 
6.3%
시 247
 
6.3%
충 245
 
6.2%
도 245
 
6.2%
동 170
 
4.3%
의 137
 
3.5%
Other values (82) 1459
37.0%

장비용도
Categorical

Distinct15
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
일반촬영
63 
치과(구내촬영)
54 
골밀도
31 
치과
29 
투시(C-ARM)
20 
Other values (10)
48 

Length

Max length12
Median length9
Mean length5.4326531
Min length2

Unique

Unique2 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
일반촬영 63
25.7%
치과(구내촬영) 54
22.0%
골밀도 31
12.7%
치과 29
11.8%
투시(C-ARM) 20
 
8.2%
유방촬영 11
 
4.5%
치과(파노라마·세팔로) 8
 
3.3%
전신 7
 
2.9%
치과용CT 및 파노라마 7
 
2.9%
촬영 및 투시 5
 
2.0%
Other values (5) 10
 
4.1%

Length

2024-03-15T01:15:47.878001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반촬영 63
23.4%
치과(구내촬영 54
20.1%
골밀도 31
11.5%
치과 29
10.8%
투시(c-arm 20
 
7.4%
및 12
 
4.5%
유방촬영 11
 
4.1%
치과(파노라마·세팔로 8
 
3.0%
전신 7
 
2.6%
치과용ct 7
 
2.6%
Other values (8) 27
10.0%

장치모델명
Text

Distinct135
Distinct (%)55.1%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-03-15T01:15:49.171158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length30
Mean length10.057143
Min length2

Characters and Unicode

Total characters2464
Distinct characters64
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique90 ?
Unique (%)36.7%

Sample

1st rowICT-R02-1T
2nd rowTOPAZ-40D
3rd rowHESTIA
4th rowSenographe Crystal Nova
5th rowRevolution Apex Plus
ValueCountFrequency (%)
vex-p300 12
 
3.4%
pht-35lhs 12
 
3.4%
dexxum 11
 
3.1%
t 11
 
3.1%
accuray 10
 
2.8%
pht-30lfo 8
 
2.3%
zen-2090 7
 
2.0%
max-gls 6
 
1.7%
vex-s300c 6
 
1.7%
prostar 5
 
1.4%
Other values (171) 267
75.2%
2024-03-15T01:15:50.999559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 176
 
7.1%
0 157
 
6.4%
X 114
 
4.6%
110
 
4.5%
R 104
 
4.2%
E 99
 
4.0%
S 96
 
3.9%
T 89
 
3.6%
P 87
 
3.5%
D 77
 
3.1%
Other values (54) 1355
55.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1225
49.7%
Lowercase Letter 531
21.6%
Decimal Number 414
 
16.8%
Dash Punctuation 176
 
7.1%
Space Separator 110
 
4.5%
Other Punctuation 4
 
0.2%
Letter Number 3
 
0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
X 114
 
9.3%
R 104
 
8.5%
E 99
 
8.1%
S 96
 
7.8%
T 89
 
7.3%
P 87
 
7.1%
D 77
 
6.3%
A 74
 
6.0%
O 64
 
5.2%
M 57
 
4.7%
Other values (14) 364
29.7%
Lowercase Letter
ValueCountFrequency (%)
o 69
13.0%
a 55
10.4%
i 51
 
9.6%
c 41
 
7.7%
r 39
 
7.3%
e 31
 
5.8%
u 29
 
5.5%
y 28
 
5.3%
t 27
 
5.1%
m 25
 
4.7%
Other values (14) 136
25.6%
Decimal Number
ValueCountFrequency (%)
0 157
37.9%
5 70
16.9%
3 58
 
14.0%
2 37
 
8.9%
6 35
 
8.5%
1 28
 
6.8%
4 11
 
2.7%
9 9
 
2.2%
8 6
 
1.4%
7 3
 
0.7%
Other Punctuation
ValueCountFrequency (%)
/ 3
75.0%
. 1
 
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 176
100.0%
Space Separator
ValueCountFrequency (%)
110
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 3
100.0%
Other Symbol
ValueCountFrequency (%)
™ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1759
71.4%
Common 705
28.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
X 114
 
6.5%
R 104
 
5.9%
E 99
 
5.6%
S 96
 
5.5%
T 89
 
5.1%
P 87
 
4.9%
D 77
 
4.4%
A 74
 
4.2%
o 69
 
3.9%
O 64
 
3.6%
Other values (39) 886
50.4%
Common
ValueCountFrequency (%)
- 176
25.0%
0 157
22.3%
110
15.6%
5 70
 
9.9%
3 58
 
8.2%
2 37
 
5.2%
6 35
 
5.0%
1 28
 
4.0%
4 11
 
1.6%
9 9
 
1.3%
Other values (5) 14
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2460
99.8%
Number Forms 3
 
0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 176
 
7.2%
0 157
 
6.4%
X 114
 
4.6%
110
 
4.5%
R 104
 
4.2%
E 99
 
4.0%
S 96
 
3.9%
T 89
 
3.6%
P 87
 
3.5%
D 77
 
3.1%
Other values (52) 1351
54.9%
Number Forms
ValueCountFrequency (%)
Ⅱ 3
100.0%
Letterlike Symbols
ValueCountFrequency (%)
™ 1
100.0%

제조사
Text

Distinct96
Distinct (%)39.2%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-03-15T01:15:51.852375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length16
Mean length5.2612245
Min length2

Characters and Unicode

Total characters1289
Distinct characters134
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique58 ?
Unique (%)23.7%

Sample

1st row덴티움아이씨티광교공장
2nd row디알젬
3rd row제노레이
4th rowGE
5th rowGE
ValueCountFrequency (%)
바텍 39
 
14.9%
ge 20
 
7.7%
오스테오시스 11
 
4.2%
주)제노레이 11
 
4.2%
주)바텍 9
 
3.4%
동강 9
 
3.4%
제노레이 8
 
3.1%
리스템 5
 
1.9%
디알젬 5
 
1.9%
디케이메디칼시스템(주 5
 
1.9%
Other values (92) 139
53.3%
2024-03-15T01:15:53.080776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 75
 
5.8%
) 62
 
4.8%
주 62
 
4.8%
( 60
 
4.7%
텍 60
 
4.7%
바 51
 
4.0%
디 49
 
3.8%
이 39
 
3.0%
E 34
 
2.6%
오 32
 
2.5%
Other values (124) 765
59.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 862
66.9%
Uppercase Letter 232
 
18.0%
Close Punctuation 62
 
4.8%
Open Punctuation 60
 
4.7%
Lowercase Letter 47
 
3.6%
Space Separator 16
 
1.2%
Other Symbol 7
 
0.5%
Other Punctuation 2
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 75
 
8.7%
주 62
 
7.2%
텍 60
 
7.0%
바 51
 
5.9%
디 49
 
5.7%
이 39
 
4.5%
오 32
 
3.7%
메 29
 
3.4%
시 25
 
2.9%
템 23
 
2.7%
Other values (78) 417
48.4%
Uppercase Letter
ValueCountFrequency (%)
E 34
14.7%
G 28
12.1%
S 21
 
9.1%
I 20
 
8.6%
O 13
 
5.6%
M 11
 
4.7%
L 11
 
4.7%
D 11
 
4.7%
H 11
 
4.7%
N 11
 
4.7%
Other values (13) 61
26.3%
Lowercase Letter
ValueCountFrequency (%)
a 6
12.8%
i 6
12.8%
m 5
10.6%
e 5
10.6%
n 3
 
6.4%
t 3
 
6.4%
y 3
 
6.4%
s 3
 
6.4%
b 2
 
4.3%
g 2
 
4.3%
Other values (6) 9
19.1%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
. 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 62
100.0%
Open Punctuation
ValueCountFrequency (%)
( 60
100.0%
Space Separator
ValueCountFrequency (%)
16
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 869
67.4%
Latin 279
 
21.6%
Common 141
 
10.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 75
 
8.6%
주 62
 
7.1%
텍 60
 
6.9%
바 51
 
5.9%
디 49
 
5.6%
이 39
 
4.5%
오 32
 
3.7%
메 29
 
3.3%
시 25
 
2.9%
템 23
 
2.6%
Other values (79) 424
48.8%
Latin
ValueCountFrequency (%)
E 34
 
12.2%
G 28
 
10.0%
S 21
 
7.5%
I 20
 
7.2%
O 13
 
4.7%
M 11
 
3.9%
L 11
 
3.9%
D 11
 
3.9%
H 11
 
3.9%
N 11
 
3.9%
Other values (29) 108
38.7%
Common
ValueCountFrequency (%)
) 62
44.0%
( 60
42.6%
16
 
11.3%
, 1
 
0.7%
- 1
 
0.7%
. 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 862
66.9%
ASCII 420
32.6%
None 7
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 75
 
8.7%
주 62
 
7.2%
텍 60
 
7.0%
바 51
 
5.9%
디 49
 
5.7%
이 39
 
4.5%
오 32
 
3.7%
메 29
 
3.4%
시 25
 
2.9%
템 23
 
2.7%
Other values (78) 417
48.4%
ASCII
ValueCountFrequency (%)
) 62
14.8%
( 60
14.3%
E 34
 
8.1%
G 28
 
6.7%
S 21
 
5.0%
I 20
 
4.8%
16
 
3.8%
O 13
 
3.1%
M 11
 
2.6%
L 11
 
2.6%
Other values (35) 144
34.3%
None
ValueCountFrequency (%)
㈜ 7
100.0%

제조국명
Categorical

IMBALANCE 

Distinct9
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
대한민국
204 
미국
 
10
중국
 
9
일본
 
6
독일
 
5
Other values (4)
 
11

Length

Max length4
Median length4
Mean length3.7142857
Min length2

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row대한민국
2nd row대한민국
3rd row대한민국
4th row중국
5th row미국

Common Values

ValueCountFrequency (%)
대한민국 204
83.3%
미국 10
 
4.1%
중국 9
 
3.7%
일본 6
 
2.4%
독일 5
 
2.0%
멕시코 4
 
1.6%
프랑스 3
 
1.2%
핀란드 3
 
1.2%
네덜란드 1
 
0.4%

Length

2024-03-15T01:15:53.336853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T01:15:53.682247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대한민국 204
83.3%
미국 10
 
4.1%
중국 9
 
3.7%
일본 6
 
2.4%
독일 5
 
2.0%
멕시코 4
 
1.6%
프랑스 3
 
1.2%
핀란드 3
 
1.2%
네덜란드 1
 
0.4%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2023-12-29
245 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-12-29
2nd row2023-12-29
3rd row2023-12-29
4th row2023-12-29
5th row2023-12-29

Common Values

ValueCountFrequency (%)
2023-12-29 245
100.0%

Length

2024-03-15T01:15:54.061654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T01:15:54.291167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-12-29 245
100.0%

Interactions

2024-03-15T01:15:40.707672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T01:15:54.439757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호의료기관명의료기관주소(도로명)장비용도제조사제조국명
번호1.0000.9320.9280.4160.7660.170
의료기관명0.9321.0001.0000.3540.9030.000
의료기관주소(도로명)0.9281.0001.0000.0000.8120.000
장비용도0.4160.3540.0001.0000.9300.748
제조사0.7660.9030.8120.9301.0000.908
제조국명0.1700.0000.0000.7480.9081.000
2024-03-15T01:15:54.700668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장비용도제조국명
장비용도1.0000.417
제조국명0.4171.000
2024-03-15T01:15:54.978112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호장비용도제조국명
번호1.0000.1580.075
장비용도0.1581.0000.417
제조국명0.0750.4171.000

Missing values

2024-03-15T01:15:41.056124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T01:15:41.349206image/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

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34의료법인 명지의료재단 명지병원충청북도 제천시 내토로 991-0 (고암동,의료법인명지의료재단명지병원)유방촬영Senographe Crystal NovaGE중국2023-12-29
45의료법인 명지의료재단 명지병원충청북도 제천시 내토로 991-0 (고암동,의료법인명지의료재단명지병원)전신Revolution Apex PlusGE미국2023-12-29
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78의료법인 명지의료재단 명지병원충청북도 제천시 내토로 991-0 (고암동,의료법인명지의료재단명지병원)혈관조영Innova IGS 6GE프랑스2023-12-29
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