Overview

Dataset statistics

Number of variables5
Number of observations366
Missing cells0
Missing cells (%)0.0%
Duplicate rows18
Duplicate rows (%)4.9%
Total size in memory14.4 KiB
Average record size in memory40.4 B

Variable types

Text3
Categorical2

Dataset

Description충청남도 논산시 진단용방사선 발생장치 및 특수장비 현황(기관명, 장비종류명칭, 모델명, 소재지) 데이터를 제공합니다
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=388&beforeMenuCd=DOM_000000201001001000&publicdatapk=15030941

Alerts

Dataset has 18 (4.9%) duplicate rowsDuplicates

Reproduction

Analysis started2024-01-09 21:02:24.827416
Analysis finished2024-01-09 21:02:25.210893
Duration0.38 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct103
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2024-01-10T06:02:25.361912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length7.5
Min length4

Characters and Unicode

Total characters2745
Distinct characters157
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

Unique23 ?
Unique (%)6.3%

Sample

1st row75플란트신동일치과의원
2nd row75플란트신동일치과의원
3rd row75플란트신동일치과의원
4th row75플란트신동일치과의원
5th row8020치과의원
ValueCountFrequency (%)
의료법인백제병원 41
 
10.4%
지구병원 21
 
5.3%
육군훈련소 21
 
5.3%
부부치과의원 10
 
2.5%
8020치과의원 9
 
2.3%
고려병원 9
 
2.3%
제일치과의원 8
 
2.0%
제일신경외과의원 8
 
2.0%
황산의원 7
 
1.8%
김상영내과의원 6
 
1.5%
Other values (97) 255
64.6%
2024-01-10T06:02:25.715472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
355
 
12.9%
332
 
12.1%
208
 
7.6%
128
 
4.7%
95
 
3.5%
59
 
2.1%
59
 
2.1%
57
 
2.1%
50
 
1.8%
44
 
1.6%
Other values (147) 1358
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2672
97.3%
Decimal Number 44
 
1.6%
Space Separator 29
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
355
 
13.3%
332
 
12.4%
208
 
7.8%
128
 
4.8%
95
 
3.6%
59
 
2.2%
59
 
2.2%
57
 
2.1%
50
 
1.9%
44
 
1.6%
Other values (141) 1285
48.1%
Decimal Number
ValueCountFrequency (%)
0 18
40.9%
8 9
20.5%
2 9
20.5%
7 4
 
9.1%
5 4
 
9.1%
Space Separator
ValueCountFrequency (%)
29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2672
97.3%
Common 73
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
355
 
13.3%
332
 
12.4%
208
 
7.8%
128
 
4.8%
95
 
3.6%
59
 
2.2%
59
 
2.2%
57
 
2.1%
50
 
1.9%
44
 
1.6%
Other values (141) 1285
48.1%
Common
ValueCountFrequency (%)
29
39.7%
0 18
24.7%
8 9
 
12.3%
2 9
 
12.3%
7 4
 
5.5%
5 4
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2672
97.3%
ASCII 73
 
2.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
355
 
13.3%
332
 
12.4%
208
 
7.8%
128
 
4.8%
95
 
3.6%
59
 
2.2%
59
 
2.2%
57
 
2.1%
50
 
1.9%
44
 
1.6%
Other values (141) 1285
48.1%
ASCII
ValueCountFrequency (%)
29
39.7%
0 18
24.7%
8 9
 
12.3%
2 9
 
12.3%
7 4
 
5.5%
5 4
 
5.5%

행정구역
Categorical

Distinct12
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
취암동
233 
연무읍
50 
강경읍
33 
연산면
 
17
부창동
 
11
Other values (7)
 
22

Length

Max length4
Median length3
Mean length3.0027322
Min length3

Unique

Unique3 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
취암동 233
63.7%
연무읍 50
 
13.7%
강경읍 33
 
9.0%
연산면 17
 
4.6%
부창동 11
 
3.0%
양촌면 8
 
2.2%
상월면 6
 
1.6%
노성면 3
 
0.8%
성동면 2
 
0.5%
가야곡면 1
 
0.3%
Other values (2) 2
 
0.5%

Length

2024-01-10T06:02:25.849993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
취암동 233
63.7%
연무읍 50
 
13.7%
강경읍 33
 
9.0%
연산면 17
 
4.6%
부창동 11
 
3.0%
양촌면 8
 
2.2%
상월면 6
 
1.6%
노성면 3
 
0.8%
성동면 2
 
0.5%
가야곡면 1
 
0.3%
Other values (2) 2
 
0.5%
Distinct101
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2024-01-10T06:02:26.093941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length38
Mean length25.090164
Min length19

Characters and Unicode

Total characters9183
Distinct characters128
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

Unique23 ?
Unique (%)6.3%

Sample

1st row충청남도 논산시 중앙로 473-1, 제일빌딩 (반월동)
2nd row충청남도 논산시 중앙로 473-1, 제일빌딩 (반월동)
3rd row충청남도 논산시 중앙로 473-1, 제일빌딩 (반월동)
4th row충청남도 논산시 중앙로 473-1, 제일빌딩 (반월동)
5th row충청남도 논산시 해월로 174 (반월동)
ValueCountFrequency (%)
충청남도 366
19.0%
논산시 366
19.0%
취암동 126
 
6.5%
반월동 64
 
3.3%
중앙로 55
 
2.9%
계백로 53
 
2.8%
연무읍 50
 
2.6%
시민로294번길 44
 
2.3%
14 41
 
2.1%
강경읍 33
 
1.7%
Other values (154) 729
37.8%
2024-01-10T06:02:26.465614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1561
 
17.0%
435
 
4.7%
410
 
4.5%
373
 
4.1%
371
 
4.0%
366
 
4.0%
366
 
4.0%
366
 
4.0%
362
 
3.9%
1 314
 
3.4%
Other values (118) 4259
46.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5481
59.7%
Space Separator 1561
 
17.0%
Decimal Number 1453
 
15.8%
Close Punctuation 270
 
2.9%
Open Punctuation 270
 
2.9%
Dash Punctuation 85
 
0.9%
Other Punctuation 63
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
435
 
7.9%
410
 
7.5%
373
 
6.8%
371
 
6.8%
366
 
6.7%
366
 
6.7%
366
 
6.7%
362
 
6.6%
253
 
4.6%
141
 
2.6%
Other values (103) 2038
37.2%
Decimal Number
ValueCountFrequency (%)
1 314
21.6%
4 268
18.4%
2 197
13.6%
0 119
 
8.2%
8 111
 
7.6%
9 105
 
7.2%
5 104
 
7.2%
6 87
 
6.0%
3 74
 
5.1%
7 74
 
5.1%
Space Separator
ValueCountFrequency (%)
1561
100.0%
Close Punctuation
ValueCountFrequency (%)
) 270
100.0%
Open Punctuation
ValueCountFrequency (%)
( 270
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 85
100.0%
Other Punctuation
ValueCountFrequency (%)
, 63
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5481
59.7%
Common 3702
40.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
435
 
7.9%
410
 
7.5%
373
 
6.8%
371
 
6.8%
366
 
6.7%
366
 
6.7%
366
 
6.7%
362
 
6.6%
253
 
4.6%
141
 
2.6%
Other values (103) 2038
37.2%
Common
ValueCountFrequency (%)
1561
42.2%
1 314
 
8.5%
) 270
 
7.3%
( 270
 
7.3%
4 268
 
7.2%
2 197
 
5.3%
0 119
 
3.2%
8 111
 
3.0%
9 105
 
2.8%
5 104
 
2.8%
Other values (5) 383
 
10.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5481
59.7%
ASCII 3702
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1561
42.2%
1 314
 
8.5%
) 270
 
7.3%
( 270
 
7.3%
4 268
 
7.2%
2 197
 
5.3%
0 119
 
3.2%
8 111
 
3.0%
9 105
 
2.8%
5 104
 
2.8%
Other values (5) 383
 
10.3%
Hangul
ValueCountFrequency (%)
435
 
7.9%
410
 
7.5%
373
 
6.8%
371
 
6.8%
366
 
6.7%
366
 
6.7%
366
 
6.7%
362
 
6.6%
253
 
4.6%
141
 
2.6%
Other values (103) 2038
37.2%
Distinct21
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
진단용 엑스선 장치
111 
치과진단용 엑스선 발생장치
97 
진단용 엑스선 발생기
70 
전산화 단층 촬영장치
31 
치과용 전산화 단층 촬영장치
13 
Other values (16)
44 

Length

Max length20
Median length19
Mean length11.672131
Min length7

Unique

Unique7 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
진단용 엑스선 장치 111
30.3%
치과진단용 엑스선 발생장치 97
26.5%
진단용 엑스선 발생기 70
19.1%
전산화 단층 촬영장치 31
 
8.5%
치과용 전산화 단층 촬영장치 13
 
3.6%
진단용엑스선장치 8
 
2.2%
전산화단층촬영장치(CT) 6
 
1.6%
유방촬영용장치 6
 
1.6%
유방촬영용장치(mammography) 5
 
1.4%
유방촬영용 장치 3
 
0.8%
Other values (11) 16
 
4.4%

Length

2024-01-10T06:02:26.602578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
엑스선 278
27.1%
진단용 181
17.6%
장치 114
11.1%
치과진단용 97
 
9.5%
발생장치 97
 
9.5%
발생기 70
 
6.8%
전산화 44
 
4.3%
단층 44
 
4.3%
촬영장치 44
 
4.3%
치과용 13
 
1.3%
Other values (16) 44
 
4.3%
Distinct202
Distinct (%)55.2%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2024-01-10T06:02:26.844667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length24
Mean length9.3770492
Min length3

Characters and Unicode

Total characters3432
Distinct characters72
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique131 ?
Unique (%)35.8%

Sample

1st rowPCH-2500
2nd rowESX
3rd rowPC-100
4th rowCCX
5th rowPAPAYA-DX
ValueCountFrequency (%)
dexxum 26
 
4.9%
t 26
 
4.9%
max-gls 23
 
4.4%
accuray 10
 
1.9%
point 10
 
1.9%
ct 9
 
1.7%
3d 8
 
1.5%
esx 7
 
1.3%
pht-35lhs 7
 
1.3%
rex-525r 6
 
1.1%
Other values (243) 394
74.9%
2024-01-10T06:02:27.247804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 283
 
8.2%
- 265
 
7.7%
X 209
 
6.1%
160
 
4.7%
D 141
 
4.1%
R 128
 
3.7%
5 123
 
3.6%
S 122
 
3.6%
P 114
 
3.3%
A 109
 
3.2%
Other values (62) 1778
51.8%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1679
48.9%
Decimal Number 708
20.6%
Lowercase Letter 594
 
17.3%
Dash Punctuation 265
 
7.7%
Space Separator 160
 
4.7%
Other Punctuation 9
 
0.3%
Letter Number 6
 
0.2%
Math Symbol 4
 
0.1%
Other Letter 4
 
0.1%
Open Punctuation 1
 
< 0.1%
Other values (2) 2
 
0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
X 209
12.4%
D 141
 
8.4%
R 128
 
7.6%
S 122
 
7.3%
P 114
 
6.8%
A 109
 
6.5%
T 104
 
6.2%
M 98
 
5.8%
E 82
 
4.9%
O 77
 
4.6%
Other values (16) 495
29.5%
Lowercase Letter
ValueCountFrequency (%)
o 68
11.4%
a 66
 
11.1%
i 56
 
9.4%
e 41
 
6.9%
t 37
 
6.2%
r 35
 
5.9%
n 35
 
5.9%
m 32
 
5.4%
l 31
 
5.2%
y 27
 
4.5%
Other values (13) 166
27.9%
Decimal Number
ValueCountFrequency (%)
0 283
40.0%
5 123
17.4%
2 83
 
11.7%
1 77
 
10.9%
3 74
 
10.5%
6 30
 
4.2%
8 19
 
2.7%
7 7
 
1.0%
4 7
 
1.0%
9 5
 
0.7%
Other Letter
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Other Punctuation
ValueCountFrequency (%)
/ 5
55.6%
. 4
44.4%
Dash Punctuation
ValueCountFrequency (%)
- 265
100.0%
Space Separator
ValueCountFrequency (%)
160
100.0%
Letter Number
ValueCountFrequency (%)
6
100.0%
Math Symbol
ValueCountFrequency (%)
+ 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2279
66.4%
Common 1149
33.5%
Hangul 4
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
X 209
 
9.2%
D 141
 
6.2%
R 128
 
5.6%
S 122
 
5.4%
P 114
 
5.0%
A 109
 
4.8%
T 104
 
4.6%
M 98
 
4.3%
E 82
 
3.6%
O 77
 
3.4%
Other values (40) 1095
48.0%
Common
ValueCountFrequency (%)
0 283
24.6%
- 265
23.1%
160
13.9%
5 123
10.7%
2 83
 
7.2%
1 77
 
6.7%
3 74
 
6.4%
6 30
 
2.6%
8 19
 
1.7%
7 7
 
0.6%
Other values (8) 28
 
2.4%
Hangul
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3421
99.7%
Number Forms 6
 
0.2%
Hangul 4
 
0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 283
 
8.3%
- 265
 
7.7%
X 209
 
6.1%
160
 
4.7%
D 141
 
4.1%
R 128
 
3.7%
5 123
 
3.6%
S 122
 
3.6%
P 114
 
3.3%
A 109
 
3.2%
Other values (56) 1767
51.7%
Number Forms
ValueCountFrequency (%)
6
100.0%
Hangul
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Letterlike Symbols
ValueCountFrequency (%)
1
100.0%

Correlations

2024-01-10T06:02:27.332741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정구역의료장비명칭
행정구역1.0000.220
의료장비명칭0.2201.000
2024-01-10T06:02:27.409474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정구역의료장비명칭
행정구역1.0000.075
의료장비명칭0.0751.000
2024-01-10T06:02:27.483382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정구역의료장비명칭
행정구역1.0000.075
의료장비명칭0.0751.000

Missing values

2024-01-10T06:02:25.082575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T06:02:25.171416image/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

의료기관명행정구역소재지도로명주소의료장비명칭의료장비모델명칭
075플란트신동일치과의원취암동충청남도 논산시 중앙로 473-1, 제일빌딩 (반월동)치과진단용 엑스선 발생장치PCH-2500
175플란트신동일치과의원취암동충청남도 논산시 중앙로 473-1, 제일빌딩 (반월동)치과진단용 엑스선 발생장치ESX
275플란트신동일치과의원취암동충청남도 논산시 중앙로 473-1, 제일빌딩 (반월동)치과진단용 엑스선 발생장치PC-100
375플란트신동일치과의원취암동충청남도 논산시 중앙로 473-1, 제일빌딩 (반월동)치과진단용 엑스선 발생장치CCX
48020치과의원취암동충청남도 논산시 해월로 174 (반월동)치과진단용 엑스선 발생장치PAPAYA-DX
58020치과의원취암동충청남도 논산시 해월로 174 (반월동)치과진단용 엑스선 발생장치PAPAYA-DX
68020치과의원취암동충청남도 논산시 해월로 174 (반월동)전산화 단층 촬영장치PHT-35LHS
78020치과의원취암동충청남도 논산시 해월로 174 (반월동)치과용 전산화 단층 촬영장치Uni3D CS
88020치과의원취암동충청남도 논산시 해월로 174 (반월동)치과진단용 엑스선 발생장치Pan eXam 1000
98020치과의원취암동충청남도 논산시 해월로 174 (반월동)치과진단용 엑스선 발생장치MAX-GLS
의료기관명행정구역소재지도로명주소의료장비명칭의료장비모델명칭
356활기찬마취통증의학과의원취암동충청남도 논산시 중앙로 464, 엔에스센트럴타워 3층 301호 (반월동)이동형엑스선투시촬영장치PROSTAR
357활기찬마취통증의학과의원취암동충청남도 논산시 중앙로 464, 엔에스센트럴타워 3층 301호 (반월동)진단용 엑스선 발생기PROSTAR
358활기찬마취통증의학과의원취암동충청남도 논산시 중앙로 464, 엔에스센트럴타워 3층 301호 (반월동)진단용 엑스선 장치AccuRay D5
359황산의원취암동충청남도 논산시 중앙로 425 (취암동)진단용 엑스선 장치LX 32
360황산의원취암동충청남도 논산시 중앙로 425 (취암동)진단용 엑스선 발생기DEXXUM T
361황산의원취암동충청남도 논산시 중앙로 425 (취암동)진단용 엑스선 장치DPX-L
362황산의원취암동충청남도 논산시 중앙로 425 (취암동)유방촬영용장치MXR-200M
363황산의원취암동충청남도 논산시 중앙로 425 (취암동)진단용 엑스선 장치DA-100
364황산의원취암동충청남도 논산시 중앙로 425 (취암동)진단용 엑스선 장치X-1550U
365황산의원취암동충청남도 논산시 중앙로 425 (취암동)유방촬영용장치(mammography)MXR-200M

Duplicate rows

Most frequently occurring

의료기관명행정구역소재지도로명주소의료장비명칭의료장비모델명칭# duplicates
4백치과의원취암동충청남도 논산시 해월로125번길 3 (반월동)치과진단용 엑스선 발생장치MAX-GLS3
5육군훈련소 지구병원연무읍충청남도 논산시 연무읍 득안대로 450-8 (주거환경개선사업)진단용 엑스선 장치AccuRay 650R3
08020치과의원취암동충청남도 논산시 해월로 174 (반월동)치과진단용 엑스선 발생장치MAX-GLS2
18020치과의원취암동충청남도 논산시 해월로 174 (반월동)치과진단용 엑스선 발생장치PAPAYA-DX2
2고려가정의학과의원강경읍충청남도 논산시 강경읍 옥녀봉로27번길 10-3진단용 엑스선 장치DXG-525R2
3박형빈마취통증의학과의원취암동충청남도 논산시 해월로168번길 2 (반월동)진단용엑스선장치R-300-1002
6육군훈련소 지구병원연무읍충청남도 논산시 연무읍 득안대로 450-8 (주거환경개선사업)진단용 엑스선 장치Xplorer 2000/T2
7의료법인백제병원취암동충청남도 논산시 시민로294번길 14 (취암동)유방촬영용장치MX-3002
8의료법인백제병원취암동충청남도 논산시 시민로294번길 14 (취암동)전산화 단층 촬영장치Ingenuity CT2
9의료법인백제병원취암동충청남도 논산시 시민로294번길 14 (취암동)전산화단층촬영장치(CT)Ingenuity CT2