Overview

Dataset statistics

Number of variables4
Number of observations233
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.6 KiB
Average record size in memory33.6 B

Variable types

Numeric1
Text3

Dataset

Description대전광역시 서구 관내 의료기관 치과병원 및 치과의원 (의료기관 명칭, 의료기관 소재지, 의료기관 전화번호) 현황 데이터를 제공합니다.
URLhttps://www.data.go.kr/data/15054196/fileData.do

Alerts

순번 has unique valuesUnique
의료기관명 has unique valuesUnique
의료기관주소(도로명) has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:18:37.642725
Analysis finished2023-12-12 15:18:38.227473
Duration0.58 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct233
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean117
Minimum1
Maximum233
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-13T00:18:38.325336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile12.6
Q159
median117
Q3175
95-th percentile221.4
Maximum233
Range232
Interquartile range (IQR)116

Descriptive statistics

Standard deviation67.405489
Coefficient of variation (CV)0.57611529
Kurtosis-1.2
Mean117
Median Absolute Deviation (MAD)58
Skewness0
Sum27261
Variance4543.5
MonotonicityStrictly increasing
2023-12-13T00:18:38.528800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
161 1
 
0.4%
149 1
 
0.4%
150 1
 
0.4%
151 1
 
0.4%
152 1
 
0.4%
153 1
 
0.4%
154 1
 
0.4%
155 1
 
0.4%
156 1
 
0.4%
Other values (223) 223
95.7%
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 (%)
233 1
0.4%
232 1
0.4%
231 1
0.4%
230 1
0.4%
229 1
0.4%
228 1
0.4%
227 1
0.4%
226 1
0.4%
225 1
0.4%
224 1
0.4%

의료기관명
Text

UNIQUE 

Distinct233
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-13T00:18:38.894270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length19
Mean length7.8025751
Min length5

Characters and Unicode

Total characters1818
Distinct characters249
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique233 ?
Unique (%)100.0%

Sample

1st row학교법인원광학원원광대학교대전치과병원
2nd row뿌리심는치과의원
3rd row바른이치치과의원
4th row서울현플란트 치과의원
5th row서울이로운치과의원
ValueCountFrequency (%)
학교법인원광학원원광대학교대전치과병원 1
 
0.4%
차앤정치과의원 1
 
0.4%
신세계치과의원 1
 
0.4%
최.박치과의원 1
 
0.4%
둔산이편한치과의원 1
 
0.4%
탑치과의원 1
 
0.4%
연세갤러리치과의원 1
 
0.4%
송민재치과의원 1
 
0.4%
래미안한길부부치과의원 1
 
0.4%
김.류.박치과의원 1
 
0.4%
Other values (225) 225
95.7%
2023-12-13T00:18:39.484434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
246
 
13.5%
240
 
13.2%
240
 
13.2%
234
 
12.9%
50
 
2.8%
22
 
1.2%
21
 
1.2%
20
 
1.1%
19
 
1.0%
19
 
1.0%
Other values (239) 707
38.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1804
99.2%
Decimal Number 5
 
0.3%
Other Punctuation 3
 
0.2%
Space Separator 2
 
0.1%
Uppercase Letter 2
 
0.1%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
246
 
13.6%
240
 
13.3%
240
 
13.3%
234
 
13.0%
50
 
2.8%
22
 
1.2%
21
 
1.2%
20
 
1.1%
19
 
1.1%
19
 
1.1%
Other values (230) 693
38.4%
Decimal Number
ValueCountFrequency (%)
5 3
60.0%
6 1
 
20.0%
3 1
 
20.0%
Uppercase Letter
ValueCountFrequency (%)
M 1
50.0%
B 1
50.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1804
99.2%
Common 12
 
0.7%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
246
 
13.6%
240
 
13.3%
240
 
13.3%
234
 
13.0%
50
 
2.8%
22
 
1.2%
21
 
1.2%
20
 
1.1%
19
 
1.1%
19
 
1.1%
Other values (230) 693
38.4%
Common
ValueCountFrequency (%)
. 3
25.0%
5 3
25.0%
2
16.7%
) 1
 
8.3%
( 1
 
8.3%
6 1
 
8.3%
3 1
 
8.3%
Latin
ValueCountFrequency (%)
M 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1804
99.2%
ASCII 14
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
246
 
13.6%
240
 
13.3%
240
 
13.3%
234
 
13.0%
50
 
2.8%
22
 
1.2%
21
 
1.2%
20
 
1.1%
19
 
1.1%
19
 
1.1%
Other values (230) 693
38.4%
ASCII
ValueCountFrequency (%)
. 3
21.4%
5 3
21.4%
2
14.3%
) 1
 
7.1%
M 1
 
7.1%
B 1
 
7.1%
( 1
 
7.1%
6 1
 
7.1%
3 1
 
7.1%
Distinct233
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-13T00:18:40.197228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length42
Mean length30.969957
Min length20

Characters and Unicode

Total characters7216
Distinct characters220
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique233 ?
Unique (%)100.0%

Sample

1st row대전광역시 서구 둔산로 77 (둔산동)
2nd row대전광역시 서구 문정로 70, 2층 (탄방동)
3rd row대전광역시 서구 둔산로 144, 3층 일부호 (둔산동)
4th row대전광역시 서구 도산로 8, 상가1동 4층 (도마동, 도마 e편한세상 포레나)
5th row대전광역시 서구 도산로 59, 이든 듀플렉스빌 3층 301,302,303호 (도마동)
ValueCountFrequency (%)
대전광역시 233
 
15.3%
서구 233
 
15.3%
둔산동 84
 
5.5%
2층 38
 
2.5%
대덕대로 28
 
1.8%
3층 28
 
1.8%
탄방동 28
 
1.8%
4층 24
 
1.6%
관저동 24
 
1.6%
월평동 19
 
1.2%
Other values (412) 782
51.4%
2023-12-13T00:18:40.721132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1289
 
17.9%
310
 
4.3%
, 305
 
4.2%
252
 
3.5%
249
 
3.5%
239
 
3.3%
239
 
3.3%
238
 
3.3%
235
 
3.3%
) 233
 
3.2%
Other values (210) 3627
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3963
54.9%
Space Separator 1289
 
17.9%
Decimal Number 1158
 
16.0%
Other Punctuation 307
 
4.3%
Close Punctuation 233
 
3.2%
Open Punctuation 233
 
3.2%
Uppercase Letter 19
 
0.3%
Math Symbol 5
 
0.1%
Lowercase Letter 5
 
0.1%
Dash Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
310
 
7.8%
252
 
6.4%
249
 
6.3%
239
 
6.0%
239
 
6.0%
238
 
6.0%
235
 
5.9%
233
 
5.9%
233
 
5.9%
149
 
3.8%
Other values (176) 1586
40.0%
Uppercase Letter
ValueCountFrequency (%)
A 4
21.1%
L 2
10.5%
K 2
10.5%
G 2
10.5%
B 2
10.5%
C 1
 
5.3%
N 1
 
5.3%
D 1
 
5.3%
O 1
 
5.3%
T 1
 
5.3%
Other values (2) 2
10.5%
Decimal Number
ValueCountFrequency (%)
2 186
16.1%
1 186
16.1%
0 153
13.2%
3 149
12.9%
4 120
10.4%
5 101
8.7%
6 100
8.6%
7 64
 
5.5%
9 50
 
4.3%
8 49
 
4.2%
Lowercase Letter
ValueCountFrequency (%)
d 1
20.0%
o 1
20.0%
g 1
20.0%
e 1
20.0%
l 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 305
99.3%
@ 2
 
0.7%
Space Separator
ValueCountFrequency (%)
1289
100.0%
Close Punctuation
ValueCountFrequency (%)
) 233
100.0%
Open Punctuation
ValueCountFrequency (%)
( 233
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3963
54.9%
Common 3229
44.7%
Latin 24
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
310
 
7.8%
252
 
6.4%
249
 
6.3%
239
 
6.0%
239
 
6.0%
238
 
6.0%
235
 
5.9%
233
 
5.9%
233
 
5.9%
149
 
3.8%
Other values (176) 1586
40.0%
Common
ValueCountFrequency (%)
1289
39.9%
, 305
 
9.4%
) 233
 
7.2%
( 233
 
7.2%
2 186
 
5.8%
1 186
 
5.8%
0 153
 
4.7%
3 149
 
4.6%
4 120
 
3.7%
5 101
 
3.1%
Other values (7) 274
 
8.5%
Latin
ValueCountFrequency (%)
A 4
16.7%
L 2
 
8.3%
K 2
 
8.3%
G 2
 
8.3%
B 2
 
8.3%
C 1
 
4.2%
d 1
 
4.2%
o 1
 
4.2%
g 1
 
4.2%
N 1
 
4.2%
Other values (7) 7
29.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3963
54.9%
ASCII 3253
45.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1289
39.6%
, 305
 
9.4%
) 233
 
7.2%
( 233
 
7.2%
2 186
 
5.7%
1 186
 
5.7%
0 153
 
4.7%
3 149
 
4.6%
4 120
 
3.7%
5 101
 
3.1%
Other values (24) 298
 
9.2%
Hangul
ValueCountFrequency (%)
310
 
7.8%
252
 
6.4%
249
 
6.3%
239
 
6.0%
239
 
6.0%
238
 
6.0%
235
 
5.9%
233
 
5.9%
233
 
5.9%
149
 
3.8%
Other values (176) 1586
40.0%
Distinct232
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-13T00:18:40.956064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters2796
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

Unique231 ?
Unique (%)99.1%

Sample

1st row042-366-1114
2nd row042-710-0008
3rd row042-477-8228
4th row042-586-2080
5th row042-523-2870
ValueCountFrequency (%)
042-719-7522 2
 
0.9%
042-472-7588 1
 
0.4%
042-484-2872 1
 
0.4%
042-484-2804 1
 
0.4%
042-534-2207 1
 
0.4%
042-485-7528 1
 
0.4%
042-535-9734 1
 
0.4%
042-368-2875 1
 
0.4%
042-488-7572 1
 
0.4%
042-472-7528 1
 
0.4%
Other values (222) 222
95.3%
2023-12-13T00:18:41.302259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 501
17.9%
- 464
16.6%
4 453
16.2%
0 348
12.4%
8 271
9.7%
5 237
8.5%
7 219
7.8%
1 92
 
3.3%
3 85
 
3.0%
9 62
 
2.2%
Other values (2) 64
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2330
83.3%
Dash Punctuation 464
 
16.6%
Close Punctuation 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 501
21.5%
4 453
19.4%
0 348
14.9%
8 271
11.6%
5 237
10.2%
7 219
9.4%
1 92
 
3.9%
3 85
 
3.6%
9 62
 
2.7%
6 62
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 464
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2796
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 501
17.9%
- 464
16.6%
4 453
16.2%
0 348
12.4%
8 271
9.7%
5 237
8.5%
7 219
7.8%
1 92
 
3.3%
3 85
 
3.0%
9 62
 
2.2%
Other values (2) 64
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2796
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 501
17.9%
- 464
16.6%
4 453
16.2%
0 348
12.4%
8 271
9.7%
5 237
8.5%
7 219
7.8%
1 92
 
3.3%
3 85
 
3.0%
9 62
 
2.2%
Other values (2) 64
 
2.3%

Interactions

2023-12-13T00:18:37.927029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-13T00:18:38.059636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:18:38.178790image/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

순번의료기관명의료기관주소(도로명)의료기관전화번호
01학교법인원광학원원광대학교대전치과병원대전광역시 서구 둔산로 77 (둔산동)042-366-1114
12뿌리심는치과의원대전광역시 서구 문정로 70, 2층 (탄방동)042-710-0008
23바른이치치과의원대전광역시 서구 둔산로 144, 3층 일부호 (둔산동)042-477-8228
34서울현플란트 치과의원대전광역시 서구 도산로 8, 상가1동 4층 (도마동, 도마 e편한세상 포레나)042-586-2080
45서울이로운치과의원대전광역시 서구 도산로 59, 이든 듀플렉스빌 3층 301,302,303호 (도마동)042-523-2870
56연세이안치과의원대전광역시 서구 계백로 900, A동 3층 305,306,307호 (관저동)042-716-6056
67김재진구강악안면외과치과의원대전광역시 서구 문정로 6, 국민연금공단 서대전지사 2층 (탄방동)042-471-3690
78서울방치과의원대전광역시 서구 계룡로 616, 대전오렌지타운 5층 505,506호 (괴정동)042-528-7825
8955플란트치과의원대전광역시 서구 둔산로123번길 21, 6층 (둔산동)042-476-9999
910탁월한치과교정과치과의원대전광역시 서구 둔산중로 50, 파이낸스빌딩 303호 (둔산동)042-489-2279
순번의료기관명의료기관주소(도로명)의료기관전화번호
223224BM(비엠)백문치과의원대전광역시 서구 계백로 1440, 1층 (도마동)042-585-7080
224225강인호치과의원대전광역시 서구 괴정로 107, 3층 (괴정동)042-534-0693
225226김양중치과의원대전광역시 서구 대덕대로167번길 5, 403호 (갈마동)042-527-8442
226227조석원치과의원대전광역시 서구 청사로 254, 201호 (둔산동, 둥지아파트)042-488-2875
227228예담치과의원대전광역시 서구 계룡로 356, 2층 (갈마동)042-487-2833
228229이풍호치과의원대전광역시 서구 정림로65번길 6, 3층 (정림동)042-582-6271
229230성심치과의원대전광역시 서구 도산로 117 (도마동)042-524-4501
230231임종갑치과의원대전광역시 서구 계백로 1438 (도마동)042-582-1646
231232김상훈치과의원대전광역시 서구 도산로 52, 2층 (도마동)042-523-2974
232233장석순치과의원대전광역시 서구 대덕대로 223, 302호 (둔산동, 대우토피아)042-470-5275