Overview

Dataset statistics

Number of variables13
Number of observations596
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory61.2 KiB
Average record size in memory105.2 B

Variable types

Numeric1
DateTime1
Text5
Categorical6

Dataset

Description세종특별자치시 의료기관의 진단용방사선발생장치현황(장치명칭, 장치모델명, 의료기관명 등)세종특별자치시 의료기관의 진단용방사선발생장치의 개수로는 492개가 있다.
Author세종특별자치시
URLhttps://www.data.go.kr/data/15030996/fileData.do

Alerts

등록기준일 has constant value ""Constant
장비용도 is highly overall correlated with 장비형태 and 1 other fieldsHigh correlation
장비형태 is highly overall correlated with 장비용도 and 1 other fieldsHigh correlation
장치명칭 is highly overall correlated with 장비용도 and 1 other fieldsHigh correlation
장비형태 is highly imbalanced (53.9%)Imbalance
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 21:14:31.986954
Analysis finished2023-12-12 21:14:33.193877
Duration1.21 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct596
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean298.5
Minimum1
Maximum596
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.4 KiB
2023-12-13T06:14:33.278329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile30.75
Q1149.75
median298.5
Q3447.25
95-th percentile566.25
Maximum596
Range595
Interquartile range (IQR)297.5

Descriptive statistics

Standard deviation172.19466
Coefficient of variation (CV)0.57686652
Kurtosis-1.2
Mean298.5
Median Absolute Deviation (MAD)149
Skewness0
Sum177906
Variance29651
MonotonicityStrictly increasing
2023-12-13T06:14:33.470345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
394 1
 
0.2%
396 1
 
0.2%
397 1
 
0.2%
398 1
 
0.2%
399 1
 
0.2%
400 1
 
0.2%
401 1
 
0.2%
402 1
 
0.2%
403 1
 
0.2%
Other values (586) 586
98.3%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
596 1
0.2%
595 1
0.2%
594 1
0.2%
593 1
0.2%
592 1
0.2%
591 1
0.2%
590 1
0.2%
589 1
0.2%
588 1
0.2%
587 1
0.2%

신고일자
Date

Distinct365
Distinct (%)61.2%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
Minimum1999-12-21 00:00:00
Maximum2023-11-06 00:00:00
2023-12-13T06:14:33.645581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:14:33.827113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

설치일자
Text

Distinct314
Distinct (%)52.7%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2023-12-13T06:14:34.167116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length7.7651007
Min length1

Characters and Unicode

Total characters4628
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique220 ?
Unique (%)36.9%

Sample

1st row
2nd row
3rd row
4th row
5th row
ValueCountFrequency (%)
2017-07-21 10
 
2.2%
2017-07-09 10
 
2.2%
2016-05-31 5
 
1.1%
2017-03-08 5
 
1.1%
2017-04-04 4
 
0.9%
2017-07-20 3
 
0.7%
2017-08-03 3
 
0.7%
2018-03-09 3
 
0.7%
2021-02-16 3
 
0.7%
2019-03-06 3
 
0.7%
Other values (303) 399
89.1%
2023-12-13T06:14:34.633880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1064
23.0%
- 896
19.4%
2 841
18.2%
1 732
15.8%
7 171
 
3.7%
8 167
 
3.6%
148
 
3.2%
9 142
 
3.1%
3 127
 
2.7%
5 115
 
2.5%
Other values (2) 225
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3584
77.4%
Dash Punctuation 896
 
19.4%
Space Separator 148
 
3.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1064
29.7%
2 841
23.5%
1 732
20.4%
7 171
 
4.8%
8 167
 
4.7%
9 142
 
4.0%
3 127
 
3.5%
5 115
 
3.2%
6 114
 
3.2%
4 111
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 896
100.0%
Space Separator
ValueCountFrequency (%)
148
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4628
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1064
23.0%
- 896
19.4%
2 841
18.2%
1 732
15.8%
7 171
 
3.7%
8 167
 
3.6%
148
 
3.2%
9 142
 
3.1%
3 127
 
2.7%
5 115
 
2.5%
Other values (2) 225
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4628
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1064
23.0%
- 896
19.4%
2 841
18.2%
1 732
15.8%
7 171
 
3.7%
8 167
 
3.6%
148
 
3.2%
9 142
 
3.1%
3 127
 
2.7%
5 115
 
2.5%
Other values (2) 225
 
4.9%

장비용도
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
일반촬영
147 
치과(구내촬영)
145 
치과
76 
골밀도
68 
투시(C-ARM)
41 
Other values (12)
119 

Length

Max length12
Median length9
Mean length5.4916107
Min length2

Unique

Unique3 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
일반촬영 147
24.7%
치과(구내촬영) 145
24.3%
치과 76
12.8%
골밀도 68
11.4%
투시(C-ARM) 41
 
6.9%
유방촬영 34
 
5.7%
치과용CT 및 파노라마 20
 
3.4%
치과(파노라마·세팔로) 18
 
3.0%
전신 13
 
2.2%
이비인후과 13
 
2.2%
Other values (7) 21
 
3.5%

Length

2023-12-13T06:14:34.801030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반촬영 147
22.7%
치과(구내촬영 145
22.4%
치과 76
11.7%
골밀도 68
10.5%
투시(c-arm 41
 
6.3%
유방촬영 34
 
5.2%
및 26
 
4.0%
치과용ct 20
 
3.1%
파노라마 20
 
3.1%
치과(파노라마·세팔로 18
 
2.8%
Other values (9) 53
 
8.2%

장비형태
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
거치형
484 
이동형
109 
<NA>
 
3

Length

Max length4
Median length3
Mean length3.0050336
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row거치형
2nd row거치형
3rd row이동형
4th row거치형
5th row이동형

Common Values

ValueCountFrequency (%)
거치형 484
81.2%
이동형 109
 
18.3%
<NA> 3
 
0.5%

Length

2023-12-13T06:14:34.951933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:14:35.072122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
거치형 484
81.2%
이동형 109
 
18.3%
na 3
 
0.5%

장비상태
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
신제품
464 
중고제품
129 
<NA>
 
3

Length

Max length4
Median length3
Mean length3.2214765
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row신제품
2nd row중고제품
3rd row신제품
4th row중고제품
5th row신제품

Common Values

ValueCountFrequency (%)
신제품 464
77.9%
중고제품 129
 
21.6%
<NA> 3
 
0.5%

Length

2023-12-13T06:14:35.207976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:14:35.321821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신제품 464
77.9%
중고제품 129
 
21.6%
na 3
 
0.5%

장치명칭
Categorical

HIGH CORRELATION 

Distinct20
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
진단용 엑스선 발생기
207 
진단용 엑스선 장치
115 
치과진단용 엑스선 발생장치
101 
전산화 단층 촬영장치
94 
유방촬영용장치
30 
Other values (15)
49 

Length

Max length19
Median length11
Mean length11.305369
Min length7

Unique

Unique9 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
진단용 엑스선 발생기 207
34.7%
진단용 엑스선 장치 115
19.3%
치과진단용 엑스선 발생장치 101
16.9%
전산화 단층 촬영장치 94
15.8%
유방촬영용장치 30
 
5.0%
치과용 전산화 단층 촬영장치 26
 
4.4%
유방촬영용 장치 3
 
0.5%
이동형엑스선장치 3
 
0.5%
진단용엑스선장치 3
 
0.5%
치과용전산화단층촬영엑스선장치 3
 
0.5%
Other values (10) 11
 
1.8%

Length

2023-12-13T06:14:35.498168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
엑스선 423
24.6%
진단용 322
18.8%
발생기 207
12.1%
전산화 122
 
7.1%
단층 122
 
7.1%
촬영장치 122
 
7.1%
장치 118
 
6.9%
치과진단용 101
 
5.9%
발생장치 101
 
5.9%
유방촬영용장치 30
 
1.7%
Other values (15) 49
 
2.9%

장치모델명
Text

Distinct213
Distinct (%)35.7%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2023-12-13T06:14:35.793759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length44
Mean length9.9781879
Min length2

Characters and Unicode

Total characters5947
Distinct characters71
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique121 ?
Unique (%)20.3%

Sample

1st rowPHT-75CHS
2nd rowOsteoPro(A)
3rd rowOSCAR Prime
4th rowREX-525R
5th rowZEN-2090 Turbo
ValueCountFrequency (%)
dexxum 40
 
4.2%
t 40
 
4.2%
3d 26
 
2.8%
point 25
 
2.7%
esx 22
 
2.3%
combi 19
 
2.0%
sig-40-525 18
 
1.9%
pht-30lfo 18
 
1.9%
zen-2090 17
 
1.8%
pro 14
 
1.5%
Other values (278) 704
74.7%
2023-12-13T06:14:36.299047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 401
 
6.7%
- 374
 
6.3%
347
 
5.8%
X 317
 
5.3%
S 267
 
4.5%
E 236
 
4.0%
R 227
 
3.8%
D 208
 
3.5%
P 188
 
3.2%
T 187
 
3.1%
Other values (61) 3195
53.7%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 2819
47.4%
Lowercase Letter 1380
23.2%
Decimal Number 1005
 
16.9%
Dash Punctuation 374
 
6.3%
Space Separator 347
 
5.8%
Letter Number 8
 
0.1%
Other Punctuation 6
 
0.1%
Open Punctuation 4
 
0.1%
Close Punctuation 4
 
0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
X 317
11.2%
S 267
 
9.5%
E 236
 
8.4%
R 227
 
8.1%
D 208
 
7.4%
P 188
 
6.7%
T 187
 
6.6%
A 178
 
6.3%
M 146
 
5.2%
H 113
 
4.0%
Other values (16) 752
26.7%
Lowercase Letter
ValueCountFrequency (%)
i 177
12.8%
o 149
10.8%
a 126
 
9.1%
n 112
 
8.1%
e 107
 
7.8%
t 89
 
6.4%
r 86
 
6.2%
m 79
 
5.7%
s 73
 
5.3%
c 63
 
4.6%
Other values (15) 319
23.1%
Decimal Number
ValueCountFrequency (%)
0 401
39.9%
5 177
17.6%
3 120
 
11.9%
2 108
 
10.7%
1 60
 
6.0%
4 43
 
4.3%
6 33
 
3.3%
9 26
 
2.6%
7 22
 
2.2%
8 15
 
1.5%
Letter Number
ValueCountFrequency (%)
Ⅱ 6
75.0%
Ⅳ 1
 
12.5%
Ⅲ 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
/ 3
50.0%
. 2
33.3%
& 1
 
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 374
100.0%
Space Separator
ValueCountFrequency (%)
347
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4207
70.7%
Common 1740
29.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
X 317
 
7.5%
S 267
 
6.3%
E 236
 
5.6%
R 227
 
5.4%
D 208
 
4.9%
P 188
 
4.5%
T 187
 
4.4%
A 178
 
4.2%
i 177
 
4.2%
o 149
 
3.5%
Other values (44) 2073
49.3%
Common
ValueCountFrequency (%)
0 401
23.0%
- 374
21.5%
347
19.9%
5 177
10.2%
3 120
 
6.9%
2 108
 
6.2%
1 60
 
3.4%
4 43
 
2.5%
6 33
 
1.9%
9 26
 
1.5%
Other values (7) 51
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5939
99.9%
Number Forms 8
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 401
 
6.8%
- 374
 
6.3%
347
 
5.8%
X 317
 
5.3%
S 267
 
4.5%
E 236
 
4.0%
R 227
 
3.8%
D 208
 
3.5%
P 188
 
3.2%
T 187
 
3.1%
Other values (58) 3187
53.7%
Number Forms
ValueCountFrequency (%)
Ⅱ 6
75.0%
Ⅳ 1
 
12.5%
Ⅲ 1
 
12.5%

장치형식명
Text

Distinct158
Distinct (%)26.5%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2023-12-13T06:14:36.579811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length21
Mean length9.5352349
Min length6

Characters and Unicode

Total characters5683
Distinct characters27
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique77 ?
Unique (%)12.9%

Sample

1st rowCBCT(PC)-16-99
2nd rowBHR-0.8-80
3rd rowHF-20-120
4th rowR-500-125
5th rowHRF-20-110
ValueCountFrequency (%)
r-500-125 75
 
12.5%
cbct(pc)-16-99 23
 
3.8%
d-65-p 21
 
3.5%
hr-60-p 19
 
3.2%
hr-2-70 17
 
2.8%
bhr-1.5-83 17
 
2.8%
hrf-20-110 14
 
2.3%
hr-2-60 12
 
2.0%
cbct(p)-16-99 11
 
1.8%
dctp-99-p 11
 
1.8%
Other values (151) 379
63.3%
2023-12-13T06:14:37.347428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1228
21.6%
0 729
12.8%
1 498
 
8.8%
R 371
 
6.5%
5 371
 
6.5%
C 270
 
4.8%
P 264
 
4.6%
H 257
 
4.5%
2 222
 
3.9%
6 190
 
3.3%
Other values (17) 1283
22.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2515
44.3%
Uppercase Letter 1692
29.8%
Dash Punctuation 1228
21.6%
Close Punctuation 102
 
1.8%
Open Punctuation 102
 
1.8%
Other Punctuation 41
 
0.7%
Space Separator 3
 
0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
R 371
21.9%
C 270
16.0%
P 264
15.6%
H 257
15.2%
B 159
9.4%
T 127
 
7.5%
D 124
 
7.3%
F 69
 
4.1%
M 34
 
2.0%
W 13
 
0.8%
Other values (2) 4
 
0.2%
Decimal Number
ValueCountFrequency (%)
0 729
29.0%
1 498
19.8%
5 371
14.8%
2 222
 
8.8%
6 190
 
7.6%
9 181
 
7.2%
3 141
 
5.6%
7 75
 
3.0%
8 65
 
2.6%
4 43
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 1228
100.0%
Close Punctuation
ValueCountFrequency (%)
) 102
100.0%
Open Punctuation
ValueCountFrequency (%)
( 102
100.0%
Other Punctuation
ValueCountFrequency (%)
. 41
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3991
70.2%
Latin 1692
29.8%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1228
30.8%
0 729
18.3%
1 498
12.5%
5 371
 
9.3%
2 222
 
5.6%
6 190
 
4.8%
9 181
 
4.5%
3 141
 
3.5%
) 102
 
2.6%
( 102
 
2.6%
Other values (5) 227
 
5.7%
Latin
ValueCountFrequency (%)
R 371
21.9%
C 270
16.0%
P 264
15.6%
H 257
15.2%
B 159
9.4%
T 127
 
7.5%
D 124
 
7.3%
F 69
 
4.1%
M 34
 
2.0%
W 13
 
0.8%
Other values (2) 4
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5683
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1228
21.6%
0 729
12.8%
1 498
 
8.8%
R 371
 
6.5%
5 371
 
6.5%
C 270
 
4.8%
P 264
 
4.6%
H 257
 
4.5%
2 222
 
3.9%
6 190
 
3.3%
Other values (17) 1283
22.6%

의료기관명
Text

Distinct255
Distinct (%)42.8%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2023-12-13T06:14:37.632068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length8.5973154
Min length4

Characters and Unicode

Total characters5124
Distinct characters245
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique69 ?
Unique (%)11.6%

Sample

1st row세종서울치과의원
2nd row세종하이한방병원
3rd row화인마취통증의학과의원
4th row화인마취통증의학과의원
5th row오케이마취통증의학과의원
ValueCountFrequency (%)
세종충남대학교병원 29
 
4.2%
의료법인 15
 
2.2%
영제 14
 
2.0%
의료재단 14
 
2.0%
엔케이세종병원 14
 
2.0%
세종스타치과의원 11
 
1.6%
치과의원 10
 
1.4%
단국대학교 9
 
1.3%
치과대학 9
 
1.3%
세종치과병원 9
 
1.3%
Other values (260) 557
80.6%
2023-12-13T06:14:38.075455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 599
 
11.7%
의 589
 
11.5%
과 493
 
9.6%
치 278
 
5.4%
세 222
 
4.3%
종 192
 
3.7%
95
 
1.9%
이 87
 
1.7%
내 83
 
1.6%
학 82
 
1.6%
Other values (235) 2404
46.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4972
97.0%
Space Separator 95
 
1.9%
Decimal Number 57
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 599
 
12.0%
의 589
 
11.8%
과 493
 
9.9%
치 278
 
5.6%
세 222
 
4.5%
종 192
 
3.9%
이 87
 
1.7%
내 83
 
1.7%
학 82
 
1.6%
병 74
 
1.5%
Other values (229) 2273
45.7%
Decimal Number
ValueCountFrequency (%)
6 18
31.6%
5 15
26.3%
3 15
26.3%
2 6
 
10.5%
1 3
 
5.3%
Space Separator
ValueCountFrequency (%)
95
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4972
97.0%
Common 152
 
3.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 599
 
12.0%
의 589
 
11.8%
과 493
 
9.9%
치 278
 
5.6%
세 222
 
4.5%
종 192
 
3.9%
이 87
 
1.7%
내 83
 
1.7%
학 82
 
1.6%
병 74
 
1.5%
Other values (229) 2273
45.7%
Common
ValueCountFrequency (%)
95
62.5%
6 18
 
11.8%
5 15
 
9.9%
3 15
 
9.9%
2 6
 
3.9%
1 3
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4972
97.0%
ASCII 152
 
3.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 599
 
12.0%
의 589
 
11.8%
과 493
 
9.9%
치 278
 
5.6%
세 222
 
4.5%
종 192
 
3.9%
이 87
 
1.7%
내 83
 
1.7%
학 82
 
1.6%
병 74
 
1.5%
Other values (229) 2273
45.7%
ASCII
ValueCountFrequency (%)
95
62.5%
6 18
 
11.8%
5 15
 
9.9%
3 15
 
9.9%
2 6
 
3.9%
1 3
 
2.0%

의료기관종별
Categorical

Distinct10
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
의원
272 
치과의원
244 
종합병원
43 
병원
 
10
치과병원
 
9
Other values (5)
 
18

Length

Max length12
Median length4
Mean length3.0922819
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row치과의원
2nd row한방병원
3rd row의원
4th row의원
5th row의원

Common Values

ValueCountFrequency (%)
의원 272
45.6%
치과의원 244
40.9%
종합병원 43
 
7.2%
병원 10
 
1.7%
치과병원 9
 
1.5%
한방병원 7
 
1.2%
보건소 4
 
0.7%
군부대시설 3
 
0.5%
요양병원(일반요양병원) 3
 
0.5%
보건지소 1
 
0.2%

Length

2023-12-13T06:14:38.206542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:14:38.324591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 272
45.6%
치과의원 244
40.9%
종합병원 43
 
7.2%
병원 10
 
1.7%
치과병원 9
 
1.5%
한방병원 7
 
1.2%
보건소 4
 
0.7%
군부대시설 3
 
0.5%
요양병원(일반요양병원 3
 
0.5%
보건지소 1
 
0.2%

의료기관 도로명주소
Text

Distinct162
Distinct (%)27.2%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2023-12-13T06:14:38.683439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length17.14094
Min length13

Characters and Unicode

Total characters10216
Distinct characters96
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)4.4%

Sample

1st row세종특별자치시 도움3로 105-7
2nd row세종특별자치시 갈매로 58
3rd row세종특별자치시 한누리대로 249
4th row세종특별자치시 한누리대로 249
5th row세종특별자치시 조치원읍 새내8길 7
ValueCountFrequency (%)
세종특별자치시 596
31.0%
한누리대로 170
 
8.8%
조치원읍 100
 
5.2%
보듬3로 45
 
2.3%
새롬중앙로 36
 
1.9%
새내로 35
 
1.8%
20 30
 
1.6%
보듬7로 29
 
1.5%
다정중앙로 26
 
1.4%
조치원로 24
 
1.2%
Other values (185) 834
43.3%
2023-12-13T06:14:39.157551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1361
 
13.3%
치 728
 
7.1%
세 610
 
6.0%
종 608
 
6.0%
특 596
 
5.8%
별 596
 
5.8%
자 596
 
5.8%
시 596
 
5.8%
로 552
 
5.4%
1 327
 
3.2%
Other values (86) 3646
35.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7003
68.5%
Decimal Number 1785
 
17.5%
Space Separator 1361
 
13.3%
Dash Punctuation 67
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
치 728
10.4%
세 610
 
8.7%
종 608
 
8.7%
특 596
 
8.5%
별 596
 
8.5%
자 596
 
8.5%
시 596
 
8.5%
로 552
 
7.9%
대 178
 
2.5%
한 170
 
2.4%
Other values (74) 1773
25.3%
Decimal Number
ValueCountFrequency (%)
1 327
18.3%
2 293
16.4%
3 198
11.1%
5 198
11.1%
7 147
8.2%
8 138
7.7%
4 122
 
6.8%
6 122
 
6.8%
9 120
 
6.7%
0 120
 
6.7%
Space Separator
ValueCountFrequency (%)
1361
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 67
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7003
68.5%
Common 3213
31.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
치 728
10.4%
세 610
 
8.7%
종 608
 
8.7%
특 596
 
8.5%
별 596
 
8.5%
자 596
 
8.5%
시 596
 
8.5%
로 552
 
7.9%
대 178
 
2.5%
한 170
 
2.4%
Other values (74) 1773
25.3%
Common
ValueCountFrequency (%)
1361
42.4%
1 327
 
10.2%
2 293
 
9.1%
3 198
 
6.2%
5 198
 
6.2%
7 147
 
4.6%
8 138
 
4.3%
4 122
 
3.8%
6 122
 
3.8%
9 120
 
3.7%
Other values (2) 187
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7003
68.5%
ASCII 3213
31.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1361
42.4%
1 327
 
10.2%
2 293
 
9.1%
3 198
 
6.2%
5 198
 
6.2%
7 147
 
4.6%
8 138
 
4.3%
4 122
 
3.8%
6 122
 
3.8%
9 120
 
3.7%
Other values (2) 187
 
5.8%
Hangul
ValueCountFrequency (%)
치 728
10.4%
세 610
 
8.7%
종 608
 
8.7%
특 596
 
8.5%
별 596
 
8.5%
자 596
 
8.5%
시 596
 
8.5%
로 552
 
7.9%
대 178
 
2.5%
한 170
 
2.4%
Other values (74) 1773
25.3%

등록기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2023-11-28
596 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-11-28
2nd row2023-11-28
3rd row2023-11-28
4th row2023-11-28
5th row2023-11-28

Common Values

ValueCountFrequency (%)
2023-11-28 596
100.0%

Length

2023-12-13T06:14:39.318033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:14:39.408102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-11-28 596
100.0%

Interactions

2023-12-13T06:14:32.717470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:14:39.468839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호장비용도장비형태장비상태장치명칭의료기관종별
번호1.0000.3260.0000.1490.4130.585
장비용도0.3261.0000.6610.3190.9030.668
장비형태0.0000.6611.0000.2420.6080.288
장비상태0.1490.3190.2421.0000.2740.470
장치명칭0.4130.9030.6080.2741.0000.577
의료기관종별0.5850.6680.2880.4700.5771.000
2023-12-13T06:14:39.582424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
의료기관종별장비상태장비용도장치명칭장비형태
의료기관종별1.0000.3590.3320.2170.219
장비상태0.3591.0000.2820.2390.155
장비용도0.3320.2821.0000.5500.595
장치명칭0.2170.2390.5501.0000.537
장비형태0.2190.1550.5950.5371.000
2023-12-13T06:14:39.688154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호장비용도장비형태장비상태장치명칭의료기관종별
번호1.0000.1320.0000.1110.1410.214
장비용도0.1321.0000.5950.2820.5500.332
장비형태0.0000.5951.0000.1550.5370.219
장비상태0.1110.2820.1551.0000.2390.359
장치명칭0.1410.5500.5370.2391.0000.217
의료기관종별0.2140.3320.2190.3590.2171.000

Missing values

2023-12-13T06:14:32.886051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:14:33.107598image/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

번호신고일자설치일자장비용도장비형태장비상태장치명칭장치모델명장치형식명의료기관명의료기관종별의료기관 도로명주소등록기준일
012023-11-06치과거치형신제품전산화 단층 촬영장치PHT-75CHSCBCT(PC)-16-99세종서울치과의원치과의원세종특별자치시 도움3로 105-72023-11-28
122023-10-27골밀도거치형중고제품진단용 엑스선 발생기OsteoPro(A)BHR-0.8-80세종하이한방병원한방병원세종특별자치시 갈매로 582023-11-28
232023-10-26투시(C-ARM)이동형신제품진단용 엑스선 발생기OSCAR PrimeHF-20-120화인마취통증의학과의원의원세종특별자치시 한누리대로 2492023-11-28
342023-10-26일반촬영거치형중고제품진단용 엑스선 장치REX-525RR-500-125화인마취통증의학과의원의원세종특별자치시 한누리대로 2492023-11-28
452023-10-18투시(C-ARM)이동형신제품진단용 엑스선 발생기ZEN-2090 TurboHRF-20-110오케이마취통증의학과의원의원세종특별자치시 조치원읍 새내8길 72023-11-28
562023-10-11골밀도거치형중고제품진단용 엑스선 발생기DEXXUM T QuantumBHR-3-83연세하트내과의원의원세종특별자치시 새롬중앙로 592023-11-28
672023-10-11일반촬영거치형중고제품진단용 엑스선 장치ECO smartR-500-125연세하트내과의원의원세종특별자치시 새롬중앙로 592023-11-28
782023-10-10일반촬영거치형신제품진단용 엑스선 장치AccuRay D5R-500-125세종하이한방병원한방병원세종특별자치시 갈매로 582023-11-28
892023-10-04골밀도거치형신제품진단용 엑스선 발생기DEXXUM TBHR-1.5-83최훈내과의원의원세종특별자치시 보듬3로 912023-11-28
9102023-09-15투시(C-ARM)이동형중고제품진단용 엑스선 발생기ARMES 35HRF-35-110에스지연합의원의원세종특별자치시 갈매로 582023-11-28
번호신고일자설치일자장비용도장비형태장비상태장치명칭장치모델명장치형식명의료기관명의료기관종별의료기관 도로명주소등록기준일
5865872006-07-05치과(구내촬영)거치형신제품치과진단용 엑스선 발생장치DS-SD-60-S서울치과의원치과의원세종특별자치시 조치원읍 새내로 912023-11-28
5875882005-08-04촬영 및 투시거치형신제품진단용 엑스선 장치DKII-525R/FRF-500-125성심외과의원의원세종특별자치시 조치원읍 새내로 1132023-11-28
5885892005-03-23일반촬영거치형신제품진단용 엑스선 발생기DPX BravoBHR-1.5-76부부내과의원의원세종특별자치시 금남면 용포로 1132023-11-28
5895902004-07-28촬영 및 투시<NA><NA>진단용엑스선장치MXHF-1500RFRF-500-125부부내과의원의원세종특별자치시 금남면 용포로 1132023-11-28
5905912003-12-29투시(C-ARM)거치형중고제품진단용 엑스선 발생기DXT-600AHRF-100-P장현진정형외과의원의원세종특별자치시 조치원읍 조치원로 622023-11-28
5915922003-03-12유방촬영거치형중고제품유방촬영용장치MELODYMHR-100-35이내과의원의원세종특별자치시 조치원읍 조치원로 312023-11-28
5925932002-01-18일반촬영이동형신제품진단용 엑스선 장치DXG-325AR-300-125서울외과의원의원세종특별자치시 조치원읍 새내로 68-12023-11-28
5935942001-07-12일반촬영거치형신제품진단용 엑스선 발생기CST-21HFHR-30-125중앙의원의원세종특별자치시 전의면 읍내길 202023-11-28
5945952000-08-31치과(구내촬영)거치형신제품치과진단용 엑스선 발생장치MAX-GLSD-10-60김진용치과의원치과의원세종특별자치시 조치원읍 조치원로 222023-11-28
5955961999-12-21일반촬영<NA><NA>진단용엑스선장치R-80-90R-100-100김내과의원의원세종특별자치시 조치원읍 새내로 982023-11-28