Overview

Dataset statistics

Number of variables13
Number of observations89
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.2 KiB
Average record size in memory105.5 B

Variable types

Categorical7
DateTime2
Text4

Dataset

Description충청남도 부여군에 소재한 의료기관에 설치된 의료기기 현황 정보(사업장명, 주소, 의료장비종류, 장치모델명, 장치용도 등)
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=436&beforeMenuCd=DOM_000000201001001000&publicdatapk=15031339

Alerts

시군명 has constant value ""Constant
사용구분명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
사업장명 is highly overall correlated with 소재지도로명주소High correlation
소재지도로명주소 is highly overall correlated with 사업장명High correlation
장비용도 is highly overall correlated with 장치명칭High correlation
장치명칭 is highly overall correlated with 장비용도High correlation
제조국가명 is highly imbalanced (69.0%)Imbalance
제조번호 has unique valuesUnique

Reproduction

Analysis started2024-01-09 21:16:52.441383
Analysis finished2024-01-09 21:16:53.618253
Duration1.18 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size844.0 B
충청남도 부여군
89 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row충청남도 부여군
2nd row충청남도 부여군
3rd row충청남도 부여군
4th row충청남도 부여군
5th row충청남도 부여군

Common Values

ValueCountFrequency (%)
충청남도 부여군 89
100.0%

Length

2024-01-10T06:16:53.668820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:16:53.748950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
충청남도 89
50.0%
부여군 89
50.0%

사업장명
Categorical

HIGH CORRELATION 

Distinct44
Distinct (%)49.4%
Missing0
Missing (%)0.0%
Memory size844.0 B
학교법인 건양교육재단 건양대학교부여병원
8 
성모의원
 
4
서울아산튼튼의원
 
3
박경석신경외과의원
 
3
박태서치과의원
 
3
Other values (39)
68 

Length

Max length21
Median length18
Mean length8.5955056
Min length4

Unique

Unique13 ?
Unique (%)14.6%

Sample

1st row굿샘치과의원
2nd row굿샘치과의원
3rd row노승식치과의원
4th row노승식치과의원
5th row맑은치과의원

Common Values

ValueCountFrequency (%)
학교법인 건양교육재단 건양대학교부여병원 8
 
9.0%
성모의원 4
 
4.5%
서울아산튼튼의원 3
 
3.4%
박경석신경외과의원 3
 
3.4%
박태서치과의원 3
 
3.4%
부여군보건소 3
 
3.4%
성요셉연합의원 3
 
3.4%
신통신경외과의원 3
 
3.4%
부여치과의원 2
 
2.2%
임성우내외치과의원 2
 
2.2%
Other values (34) 55
61.8%

Length

2024-01-10T06:16:53.839991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
학교법인 8
 
7.3%
건양대학교부여병원 8
 
7.3%
건양교육재단 8
 
7.3%
성모의원 4
 
3.7%
서울아산튼튼의원 3
 
2.8%
박경석신경외과의원 3
 
2.8%
박태서치과의원 3
 
2.8%
부여군보건소 3
 
2.8%
성요셉연합의원 3
 
2.8%
신통신경외과의원 3
 
2.8%
Other values (39) 63
57.8%

소재지도로명주소
Categorical

HIGH CORRELATION 

Distinct44
Distinct (%)49.4%
Missing0
Missing (%)0.0%
Memory size844.0 B
충청남도 부여군 부여읍 계백로 200
8 
충청남도 부여군 부여읍 신동엽길 6, 2,3층
 
4
충청남도 부여군 부여읍 성왕로193번길 3, 2층
 
3
충청남도 부여군 부여읍 성왕로 192, 2,3,4층
 
3
충청남도 부여군 부여읍 사비로100번길 1
 
3
Other values (39)
68 

Length

Max length30
Median length27
Mean length23.11236
Min length18

Unique

Unique13 ?
Unique (%)14.6%

Sample

1st row충청남도 부여군 부여읍 중앙로 5
2nd row충청남도 부여군 부여읍 중앙로 5
3rd row충청남도 부여군 부여읍 사비로 92
4th row충청남도 부여군 부여읍 사비로 92
5th row충청남도 부여군 부여읍 성왕로 196, 2층

Common Values

ValueCountFrequency (%)
충청남도 부여군 부여읍 계백로 200 8
 
9.0%
충청남도 부여군 부여읍 신동엽길 6, 2,3층 4
 
4.5%
충청남도 부여군 부여읍 성왕로193번길 3, 2층 3
 
3.4%
충청남도 부여군 부여읍 성왕로 192, 2,3,4층 3
 
3.4%
충청남도 부여군 부여읍 사비로100번길 1 3
 
3.4%
충청남도 부여군 부여읍 성왕로 205 3
 
3.4%
충청남도 부여군 부여읍 사비로 78, 지하1층~지상3층 3
 
3.4%
충청남도 부여군 부여읍 사비로 64, 2층 3
 
3.4%
충청남도 부여군 부여읍 석탑로 52 2
 
2.2%
충청남도 부여군 부여읍 석탑로 49 2
 
2.2%
Other values (34) 55
61.8%

Length

2024-01-10T06:16:53.958561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
충청남도 89
17.8%
부여군 89
17.8%
부여읍 71
14.2%
2층 25
 
5.0%
사비로 20
 
4.0%
성왕로 14
 
2.8%
계백로 8
 
1.6%
200 8
 
1.6%
홍산로 7
 
1.4%
홍산면 7
 
1.4%
Other values (75) 161
32.3%

사용구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size844.0 B
사용중
89 

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 89
100.0%

Length

2024-01-10T06:16:54.057681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:16:54.138669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사용중 89
100.0%

신고일자
Date

Distinct81
Distinct (%)91.0%
Missing0
Missing (%)0.0%
Memory size844.0 B
Minimum1994-12-24 00:00:00
Maximum2023-11-15 00:00:00
2024-01-10T06:16:54.234744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:16:54.348016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

장비용도
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)12.4%
Missing0
Missing (%)0.0%
Memory size844.0 B
치과(구내촬영)
24 
일반촬영
22 
치과
12 
골밀도
12 
투시(C-ARM)
6 
Other values (6)
13 

Length

Max length12
Median length9
Mean length5.5505618
Min length2

Unique

Unique2 ?
Unique (%)2.2%

Sample

1st row치과(파노라마·세팔로)
2nd row치과(구내촬영)
3rd row치과(구내촬영)
4th row치과(파노라마·세팔로)
5th row치과(구내촬영)

Common Values

ValueCountFrequency (%)
치과(구내촬영) 24
27.0%
일반촬영 22
24.7%
치과 12
13.5%
골밀도 12
13.5%
투시(C-ARM) 6
 
6.7%
치과(파노라마·세팔로) 3
 
3.4%
치과용CT 및 파노라마 3
 
3.4%
유방촬영 3
 
3.4%
전신 2
 
2.2%
이비인후과 1
 
1.1%

Length

2024-01-10T06:16:54.476546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
치과(구내촬영 24
24.7%
일반촬영 22
22.7%
치과 12
12.4%
골밀도 12
12.4%
투시(c-arm 6
 
6.2%
및 4
 
4.1%
치과(파노라마·세팔로 3
 
3.1%
치과용ct 3
 
3.1%
파노라마 3
 
3.1%
유방촬영 3
 
3.1%
Other values (4) 5
 
5.2%

장치명칭
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)11.2%
Missing0
Missing (%)0.0%
Memory size844.0 B
진단용 엑스선 발생기
34 
치과진단용 엑스선 발생장치
17 
진단용 엑스선 장치
15 
전산화 단층 촬영장치
13 
치과용 전산화 단층 촬영장치
4 
Other values (5)
6 

Length

Max length15
Median length11
Mean length11.494382
Min length7

Unique

Unique4 ?
Unique (%)4.5%

Sample

1st row치과진단용 엑스선 발생장치
2nd row치과진단용 엑스선 발생장치
3rd row치과진단용 엑스선 발생장치
4th row치과진단용 엑스선 발생장치
5th row진단용 엑스선 발생기

Common Values

ValueCountFrequency (%)
진단용 엑스선 발생기 34
38.2%
치과진단용 엑스선 발생장치 17
19.1%
진단용 엑스선 장치 15
16.9%
전산화 단층 촬영장치 13
 
14.6%
치과용 전산화 단층 촬영장치 4
 
4.5%
유방촬영용장치 2
 
2.2%
유방촬영용 장치 1
 
1.1%
치과진단용X선발생장치 1
 
1.1%
포터블엑스선촬영장치 1
 
1.1%
치과용전산화단층촬영엑스선장치 1
 
1.1%

Length

2024-01-10T06:16:54.605537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:16:54.738422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
엑스선 66
25.4%
진단용 49
18.8%
발생기 34
13.1%
치과진단용 17
 
6.5%
발생장치 17
 
6.5%
전산화 17
 
6.5%
단층 17
 
6.5%
촬영장치 17
 
6.5%
장치 16
 
6.2%
치과용 4
 
1.5%
Other values (5) 6
 
2.3%

장치모델명
Text

Distinct65
Distinct (%)73.0%
Missing0
Missing (%)0.0%
Memory size844.0 B
2024-01-10T06:16:54.995828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length18
Mean length10.337079
Min length3

Characters and Unicode

Total characters920
Distinct characters65
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)58.4%

Sample

1st rowPCH-2500
2nd row제우스 ZEUS
3rd rowMAX-GLS
4th rowPaX-Primo
5th rowXcam
ValueCountFrequency (%)
max-gls 6
 
4.1%
t 6
 
4.1%
dexxum 6
 
4.1%
point 5
 
3.4%
3d 5
 
3.4%
combi 5
 
3.4%
zen-2090 4
 
2.8%
easy-ray 3
 
2.1%
accuray 3
 
2.1%
sig-40-525 3
 
2.1%
Other values (82) 99
68.3%
2024-01-10T06:16:55.324121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 61
 
6.6%
56
 
6.1%
0 50
 
5.4%
S 42
 
4.6%
X 39
 
4.2%
E 39
 
4.2%
5 34
 
3.7%
o 31
 
3.4%
R 29
 
3.2%
T 29
 
3.2%
Other values (55) 510
55.4%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 432
47.0%
Lowercase Letter 210
22.8%
Decimal Number 153
 
16.6%
Dash Punctuation 61
 
6.6%
Space Separator 56
 
6.1%
Other Letter 3
 
0.3%
Letter Number 2
 
0.2%
Close Punctuation 1
 
0.1%
Math Symbol 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
S 42
 
9.7%
X 39
 
9.0%
E 39
 
9.0%
R 29
 
6.7%
T 29
 
6.7%
D 29
 
6.7%
M 28
 
6.5%
A 27
 
6.2%
P 27
 
6.2%
H 17
 
3.9%
Other values (15) 126
29.2%
Lowercase Letter
ValueCountFrequency (%)
o 31
14.8%
i 23
11.0%
m 19
9.0%
a 18
8.6%
r 14
 
6.7%
n 14
 
6.7%
u 13
 
6.2%
t 13
 
6.2%
c 12
 
5.7%
y 12
 
5.7%
Other values (11) 41
19.5%
Decimal Number
ValueCountFrequency (%)
0 50
32.7%
5 34
22.2%
2 21
13.7%
3 16
 
10.5%
1 12
 
7.8%
6 9
 
5.9%
4 5
 
3.3%
9 4
 
2.6%
7 1
 
0.7%
8 1
 
0.7%
Other Letter
ValueCountFrequency (%)
스 1
33.3%
우 1
33.3%
제 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 61
100.0%
Space Separator
ValueCountFrequency (%)
56
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 644
70.0%
Common 273
29.7%
Hangul 3
 
0.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
S 42
 
6.5%
X 39
 
6.1%
E 39
 
6.1%
o 31
 
4.8%
R 29
 
4.5%
T 29
 
4.5%
D 29
 
4.5%
M 28
 
4.3%
A 27
 
4.2%
P 27
 
4.2%
Other values (37) 324
50.3%
Common
ValueCountFrequency (%)
- 61
22.3%
56
20.5%
0 50
18.3%
5 34
12.5%
2 21
 
7.7%
3 16
 
5.9%
1 12
 
4.4%
6 9
 
3.3%
4 5
 
1.8%
9 4
 
1.5%
Other values (5) 5
 
1.8%
Hangul
ValueCountFrequency (%)
스 1
33.3%
우 1
33.3%
제 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 915
99.5%
Hangul 3
 
0.3%
Number Forms 2
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 61
 
6.7%
56
 
6.1%
0 50
 
5.5%
S 42
 
4.6%
X 39
 
4.3%
E 39
 
4.3%
5 34
 
3.7%
o 31
 
3.4%
R 29
 
3.2%
T 29
 
3.2%
Other values (51) 505
55.2%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%
Hangul
ValueCountFrequency (%)
스 1
33.3%
우 1
33.3%
제 1
33.3%

장치형식명
Text

Distinct55
Distinct (%)61.8%
Missing0
Missing (%)0.0%
Memory size844.0 B
2024-01-10T06:16:55.512791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length20
Mean length10.11236
Min length6

Characters and Unicode

Total characters900
Distinct characters26
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

Unique40 ?
Unique (%)44.9%

Sample

1st rowDP-10-90
2nd rowD-60-P
3rd rowD-10-60
4th rowDP-10-80
5th rowHR-2-70
ValueCountFrequency (%)
r-500-125 10
 
11.2%
cbct(p)-16-99 5
 
5.6%
d-10-60 5
 
5.6%
hrf-20-110 4
 
4.5%
hr-60-p 4
 
4.5%
hr-2-70 3
 
3.4%
bhr-3-83 2
 
2.2%
d-60-p 2
 
2.2%
hr-100-110 2
 
2.2%
bhr-1.5-83 2
 
2.2%
Other values (45) 50
56.2%
2024-01-10T06:16:55.801944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 196
21.8%
0 114
12.7%
1 77
 
8.6%
R 58
 
6.4%
5 50
 
5.6%
P 43
 
4.8%
H 42
 
4.7%
C 36
 
4.0%
6 34
 
3.8%
9 32
 
3.6%
Other values (16) 218
24.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 384
42.7%
Uppercase Letter 268
29.8%
Dash Punctuation 196
21.8%
Close Punctuation 22
 
2.4%
Open Punctuation 22
 
2.4%
Other Punctuation 4
 
0.4%
Lowercase Letter 4
 
0.4%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
R 58
21.6%
P 43
16.0%
H 42
15.7%
C 36
13.4%
B 26
9.7%
D 25
9.3%
T 21
 
7.8%
F 9
 
3.4%
M 3
 
1.1%
S 3
 
1.1%
Decimal Number
ValueCountFrequency (%)
0 114
29.7%
1 77
20.1%
5 50
13.0%
6 34
 
8.9%
9 32
 
8.3%
2 28
 
7.3%
3 26
 
6.8%
8 10
 
2.6%
7 9
 
2.3%
4 4
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 196
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%
Lowercase Letter
ValueCountFrequency (%)
p 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 628
69.8%
Latin 272
30.2%

Most frequent character per script

Common
ValueCountFrequency (%)
- 196
31.2%
0 114
18.2%
1 77
 
12.3%
5 50
 
8.0%
6 34
 
5.4%
9 32
 
5.1%
2 28
 
4.5%
3 26
 
4.1%
) 22
 
3.5%
( 22
 
3.5%
Other values (4) 27
 
4.3%
Latin
ValueCountFrequency (%)
R 58
21.3%
P 43
15.8%
H 42
15.4%
C 36
13.2%
B 26
9.6%
D 25
9.2%
T 21
 
7.7%
F 9
 
3.3%
p 4
 
1.5%
M 3
 
1.1%
Other values (2) 5
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 900
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 196
21.8%
0 114
12.7%
1 77
 
8.6%
R 58
 
6.4%
5 50
 
5.6%
P 43
 
4.8%
H 42
 
4.7%
C 36
 
4.0%
6 34
 
3.8%
9 32
 
3.6%
Other values (16) 218
24.2%

제조국가명
Categorical

IMBALANCE 

Distinct5
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size844.0 B
대한민국
79 
미국
 
3
일본
 
3
독일
 
3
멕시코
 
1

Length

Max length4
Median length4
Mean length3.7865169
Min length2

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
대한민국 79
88.8%
미국 3
 
3.4%
일본 3
 
3.4%
독일 3
 
3.4%
멕시코 1
 
1.1%

Length

2024-01-10T06:16:55.921315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:16:56.016092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대한민국 79
88.8%
미국 3
 
3.4%
일본 3
 
3.4%
독일 3
 
3.4%
멕시코 1
 
1.1%

제조년월일
Text

Distinct87
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size844.0 B
2024-01-10T06:16:56.229281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters890
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique85 ?
Unique (%)95.5%

Sample

1st row2012-03-23
2nd row2004-09-01
3rd row2001-04-01
4th row2009-03-01
5th row2021-03-23
ValueCountFrequency (%)
2020-11-01 2
 
2.2%
2022-05-00 2
 
2.2%
2020-03-13 1
 
1.1%
2011-12-22 1
 
1.1%
2013-12-11 1
 
1.1%
2017-01-00 1
 
1.1%
2023-02-24 1
 
1.1%
2017-04-04 1
 
1.1%
2016-10-13 1
 
1.1%
1995-05-00 1
 
1.1%
Other values (77) 77
86.5%
2024-01-10T06:16:56.774188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 263
29.6%
- 178
20.0%
2 158
17.8%
1 131
14.7%
3 32
 
3.6%
9 28
 
3.1%
8 24
 
2.7%
7 22
 
2.5%
6 22
 
2.5%
5 16
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 712
80.0%
Dash Punctuation 178
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 263
36.9%
2 158
22.2%
1 131
18.4%
3 32
 
4.5%
9 28
 
3.9%
8 24
 
3.4%
7 22
 
3.1%
6 22
 
3.1%
5 16
 
2.2%
4 16
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 178
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 890
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 263
29.6%
- 178
20.0%
2 158
17.8%
1 131
14.7%
3 32
 
3.6%
9 28
 
3.1%
8 24
 
2.7%
7 22
 
2.5%
6 22
 
2.5%
5 16
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 890
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 263
29.6%
- 178
20.0%
2 158
17.8%
1 131
14.7%
3 32
 
3.6%
9 28
 
3.1%
8 24
 
2.7%
7 22
 
2.5%
6 22
 
2.5%
5 16
 
1.8%

제조번호
Text

UNIQUE 

Distinct89
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size844.0 B
2024-01-10T06:16:56.989357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length10.438202
Min length2

Characters and Unicode

Total characters929
Distinct characters42
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

Unique89 ?
Unique (%)100.0%

Sample

1st row047-0019
2nd row1200
3rd row4696
4th rowPPRIMO-NO903PNX041A
5th rowXCAM-2103-086
ValueCountFrequency (%)
047-0019 1
 
1.1%
024-4261 1
 
1.1%
085-001934 1
 
1.1%
gd-121112-20413 1
 
1.1%
dnr117a025 1
 
1.1%
mo050223005 1
 
1.1%
ah1ff170099 1
 
1.1%
1610010 1
 
1.1%
ah1ff 1
 
1.1%
950601 1
 
1.1%
Other values (83) 83
89.2%
2024-01-10T06:16:57.315988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 183
19.7%
1 122
13.1%
2 72
 
7.8%
- 62
 
6.7%
3 47
 
5.1%
4 45
 
4.8%
7 38
 
4.1%
6 37
 
4.0%
9 36
 
3.9%
5 33
 
3.6%
Other values (32) 254
27.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 637
68.6%
Uppercase Letter 220
 
23.7%
Dash Punctuation 62
 
6.7%
Space Separator 4
 
0.4%
Lowercase Letter 4
 
0.4%
Math Symbol 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 27
 
12.3%
E 16
 
7.3%
C 16
 
7.3%
N 16
 
7.3%
D 15
 
6.8%
G 14
 
6.4%
P 12
 
5.5%
M 10
 
4.5%
R 10
 
4.5%
B 9
 
4.1%
Other values (14) 75
34.1%
Decimal Number
ValueCountFrequency (%)
0 183
28.7%
1 122
19.2%
2 72
 
11.3%
3 47
 
7.4%
4 45
 
7.1%
7 38
 
6.0%
6 37
 
5.8%
9 36
 
5.7%
5 33
 
5.2%
8 24
 
3.8%
Lowercase Letter
ValueCountFrequency (%)
s 1
25.0%
x 1
25.0%
t 1
25.0%
m 1
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 705
75.9%
Latin 224
 
24.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 27
 
12.1%
E 16
 
7.1%
C 16
 
7.1%
N 16
 
7.1%
D 15
 
6.7%
G 14
 
6.2%
P 12
 
5.4%
M 10
 
4.5%
R 10
 
4.5%
B 9
 
4.0%
Other values (18) 79
35.3%
Common
ValueCountFrequency (%)
0 183
26.0%
1 122
17.3%
2 72
 
10.2%
- 62
 
8.8%
3 47
 
6.7%
4 45
 
6.4%
7 38
 
5.4%
6 37
 
5.2%
9 36
 
5.1%
5 33
 
4.7%
Other values (4) 30
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 929
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 183
19.7%
1 122
13.1%
2 72
 
7.8%
- 62
 
6.7%
3 47
 
5.1%
4 45
 
4.8%
7 38
 
4.1%
6 37
 
4.0%
9 36
 
3.9%
5 33
 
3.6%
Other values (32) 254
27.3%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size844.0 B
Minimum2023-10-31 00:00:00
Maximum2023-10-31 00:00:00
2024-01-10T06:16:57.407869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:16:57.479421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2024-01-10T06:16:57.543453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업장명소재지도로명주소신고일자장비용도장치명칭장치모델명장치형식명제조국가명제조년월일제조번호
사업장명1.0001.0000.9990.0000.0000.6110.7230.0000.9751.000
소재지도로명주소1.0001.0000.9990.0000.0000.6110.7230.0000.9751.000
신고일자0.9990.9991.0000.8760.0000.9500.9880.0000.9921.000
장비용도0.0000.0000.8761.0000.8580.9971.0000.6661.0001.000
장치명칭0.0000.0000.0000.8581.0000.9780.9670.4781.0001.000
장치모델명0.6110.6110.9500.9970.9781.0000.9921.0000.9891.000
장치형식명0.7230.7230.9881.0000.9670.9921.0000.8810.9981.000
제조국가명0.0000.0000.0000.6660.4781.0000.8811.0000.0001.000
제조년월일0.9750.9750.9921.0001.0000.9890.9980.0001.0001.000
제조번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2024-01-10T06:16:57.651478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
제조국가명장비용도사업장명장치명칭소재지도로명주소
제조국가명1.0000.4270.0000.2090.000
장비용도0.4271.0000.0000.5880.000
사업장명0.0000.0001.0000.0001.000
장치명칭0.2090.5880.0001.0000.000
소재지도로명주소0.0000.0001.0000.0001.000
2024-01-10T06:16:57.746286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업장명소재지도로명주소장비용도장치명칭제조국가명
사업장명1.0001.0000.0000.0000.000
소재지도로명주소1.0001.0000.0000.0000.000
장비용도0.0000.0001.0000.5880.427
장치명칭0.0000.0000.5881.0000.209
제조국가명0.0000.0000.4270.2091.000

Missing values

2024-01-10T06:16:53.424143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T06:16:53.564672image/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

시군명사업장명소재지도로명주소사용구분명신고일자장비용도장치명칭장치모델명장치형식명제조국가명제조년월일제조번호데이터기준일자
0충청남도 부여군굿샘치과의원충청남도 부여군 부여읍 중앙로 5사용중2023-04-04치과(파노라마·세팔로)치과진단용 엑스선 발생장치PCH-2500DP-10-90대한민국2012-03-23047-00192023-10-31
1충청남도 부여군굿샘치과의원충청남도 부여군 부여읍 중앙로 5사용중2010-10-15치과(구내촬영)치과진단용 엑스선 발생장치제우스 ZEUSD-60-P대한민국2004-09-0112002023-10-31
2충청남도 부여군노승식치과의원충청남도 부여군 부여읍 사비로 92사용중2015-05-06치과(구내촬영)치과진단용 엑스선 발생장치MAX-GLSD-10-60대한민국2001-04-0146962023-10-31
3충청남도 부여군노승식치과의원충청남도 부여군 부여읍 사비로 92사용중2009-04-10치과(파노라마·세팔로)치과진단용 엑스선 발생장치PaX-PrimoDP-10-80대한민국2009-03-01PPRIMO-NO903PNX041A2023-10-31
4충청남도 부여군맑은치과의원충청남도 부여군 부여읍 성왕로 196, 2층사용중2021-06-03치과(구내촬영)진단용 엑스선 발생기XcamHR-2-70대한민국2021-03-23XCAM-2103-0862023-10-31
5충청남도 부여군맑은치과의원충청남도 부여군 부여읍 성왕로 196, 2층사용중2021-06-03치과전산화 단층 촬영장치eco-xCBCT(P)-10-90대한민국2021-05-01ECO121E2382023-10-31
6충청남도 부여군바른이연합치과의원충청남도 부여군 부여읍 사비로 63, 2층사용중2017-05-10치과전산화 단층 촬영장치Point 3D Combi 500SCBCT(PC)-16-90대한민국2017-05-02PNC5S-KDN039B102023-10-31
7충청남도 부여군바른이연합치과의원충청남도 부여군 부여읍 사비로 63, 2층사용중2015-04-01치과(구내촬영)치과진단용 엑스선 발생장치ZEUS 100SD-4-70대한민국2015-03-17PNZS-KBL0790B2023-10-31
8충청남도 부여군박경석신경외과의원충청남도 부여군 부여읍 성왕로 192, 2,3,4층사용중2016-04-28골밀도진단용 엑스선 발생기Discovery CiBHR-140-P미국2015-08-00887122023-10-31
9충청남도 부여군박경석신경외과의원충청남도 부여군 부여읍 성왕로 192, 2,3,4층사용중2013-09-17투시(C-ARM)진단용 엑스선 발생기KMC-650HRF-110-P(HF-110-p)대한민국2013-08-194.37E+112023-10-31
시군명사업장명소재지도로명주소사용구분명신고일자장비용도장치명칭장치모델명장치형식명제조국가명제조년월일제조번호데이터기준일자
79충청남도 부여군학교법인 건양교육재단 건양대학교부여병원충청남도 부여군 부여읍 계백로 200사용중2020-03-20골밀도진단용 엑스선 발생기DEXXUM T QuantumBHR-3-83대한민국2020-03-13DTQ20000392023-10-31
80충청남도 부여군학교법인 건양교육재단 건양대학교부여병원충청남도 부여군 부여읍 계백로 200사용중2019-11-19투시(C-ARM)진단용 엑스선 발생기ZEN-2090 ProHRF-20-110대한민국2010-06-22ZEN-0609-2102023-10-31
81충청남도 부여군학교법인 건양교육재단 건양대학교부여병원충청남도 부여군 부여읍 계백로 200사용중2016-10-11일반촬영진단용 엑스선 장치AccuRay D6R-630-150(R-630-150)대한민국2016-09-23A053016J0072023-10-31
82충청남도 부여군학교법인 건양교육재단 건양대학교부여병원충청남도 부여군 부여읍 계백로 200사용중2016-09-22일반촬영진단용 엑스선 발생기ELMO-T3HR-100-110대한민국2016-09-12A091816J0202023-10-31
83충청남도 부여군현대탑치과의원충청남도 부여군 부여읍 성왕로 216, 3층사용중2021-01-14치과(구내촬영)포터블엑스선촬영장치REMEX-T100HR-2-70대한민국2020-09-07RPG-0702A-TCT09162023-10-31
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