Overview

Dataset statistics

Number of variables4
Number of observations163
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.4 KiB
Average record size in memory33.8 B

Variable types

Numeric1
Text3

Dataset

Description전북특별자치도 군산시에 소재한 의원급 의료기관 현황으로 의료기관명, 의료기관주소, 의료기관전화번호와 같은 데이터를 제공합니다.
Author전북특별자치도 군산시
URLhttps://www.data.go.kr/data/3080242/fileData.do

Alerts

순번 has unique valuesUnique
의료기관명 has unique valuesUnique
의료기관전화번호 has unique valuesUnique

Reproduction

Analysis started2024-04-06 08:30:18.904112
Analysis finished2024-04-06 08:30:19.774381
Duration0.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct163
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82
Minimum1
Maximum163
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-04-06T17:30:19.977315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.1
Q141.5
median82
Q3122.5
95-th percentile154.9
Maximum163
Range162
Interquartile range (IQR)81

Descriptive statistics

Standard deviation47.198164
Coefficient of variation (CV)0.57558736
Kurtosis-1.2
Mean82
Median Absolute Deviation (MAD)41
Skewness0
Sum13366
Variance2227.6667
MonotonicityStrictly increasing
2024-04-06T17:30:20.300450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
104 1
 
0.6%
106 1
 
0.6%
107 1
 
0.6%
108 1
 
0.6%
109 1
 
0.6%
110 1
 
0.6%
111 1
 
0.6%
112 1
 
0.6%
113 1
 
0.6%
Other values (153) 153
93.9%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
163 1
0.6%
162 1
0.6%
161 1
0.6%
160 1
0.6%
159 1
0.6%
158 1
0.6%
157 1
0.6%
156 1
0.6%
155 1
0.6%
154 1
0.6%

의료기관명
Text

UNIQUE 

Distinct163
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-04-06T17:30:20.740940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length7.797546
Min length4

Characters and Unicode

Total characters1271
Distinct characters178
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique163 ?
Unique (%)100.0%

Sample

1st row조이소아청소년과의원
2nd row군산숲정신건강의학과의원
3rd row바로그의원
4th row더나은정신건강의학과의원
5th row마음편한정신건강의학과의원
ValueCountFrequency (%)
조이소아청소년과의원 1
 
0.6%
김현중내과의원 1
 
0.6%
서울정형외과의원 1
 
0.6%
조은가정의학과의원 1
 
0.6%
김광진내과의원 1
 
0.6%
군산우리들소아청소년과의원 1
 
0.6%
우리들소아청소년과의원 1
 
0.6%
김춘식신경과의원 1
 
0.6%
한양내과의원 1
 
0.6%
안우석내과의원 1
 
0.6%
Other values (157) 157
94.0%
2024-04-06T17:30:21.461840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 190
 
14.9%
원 164
 
12.9%
과 125
 
9.8%
정 39
 
3.1%
소 31
 
2.4%
학 28
 
2.2%
산 27
 
2.1%
내 26
 
2.0%
인 21
 
1.7%
이 20
 
1.6%
Other values (168) 600
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1267
99.7%
Space Separator 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 190
 
15.0%
원 164
 
12.9%
과 125
 
9.9%
정 39
 
3.1%
소 31
 
2.4%
학 28
 
2.2%
산 27
 
2.1%
내 26
 
2.1%
인 21
 
1.7%
이 20
 
1.6%
Other values (167) 596
47.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1267
99.7%
Common 4
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 190
 
15.0%
원 164
 
12.9%
과 125
 
9.9%
정 39
 
3.1%
소 31
 
2.4%
학 28
 
2.2%
산 27
 
2.1%
내 26
 
2.1%
인 21
 
1.7%
이 20
 
1.6%
Other values (167) 596
47.0%
Common
ValueCountFrequency (%)
4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1267
99.7%
ASCII 4
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 190
 
15.0%
원 164
 
12.9%
과 125
 
9.9%
정 39
 
3.1%
소 31
 
2.4%
학 28
 
2.2%
산 27
 
2.1%
내 26
 
2.1%
인 21
 
1.7%
이 20
 
1.6%
Other values (167) 596
47.0%
ASCII
ValueCountFrequency (%)
4
100.0%

의료기관주소(도로명)
Text

Distinct162
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-04-06T17:30:22.187884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length42
Mean length30.607362
Min length22

Characters and Unicode

Total characters4989
Distinct characters174
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique161 ?
Unique (%)98.8%

Sample

1st row전북특별자치도 군산시 계산로 51, 2층 201호 (지곡동)
2nd row전북특별자치도 군산시 궁포3로 4, 5층 501,502호 (조촌동)
3rd row전북특별자치도 군산시 월명로 219, (주)BYC 6층 (수송동)
4th row전북특별자치도 군산시 월명로 184, 현진빌딩 3층 302호 (수송동)
5th row전북특별자치도 군산시 대학로 205, 외출준비 2층 (문화동)
ValueCountFrequency (%)
전북특별자치도 163
 
16.6%
군산시 163
 
16.6%
수송동 49
 
5.0%
나운동 38
 
3.9%
2층 32
 
3.3%
월명로 32
 
3.3%
3층 18
 
1.8%
공단대로 15
 
1.5%
조촌동 15
 
1.5%
대학로 12
 
1.2%
Other values (271) 443
45.2%
2024-04-06T17:30:23.438099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
825
 
16.5%
산 175
 
3.5%
자 171
 
3.4%
도 168
 
3.4%
군 167
 
3.3%
북 167
 
3.3%
시 167
 
3.3%
동 166
 
3.3%
전 164
 
3.3%
치 163
 
3.3%
Other values (164) 2656
53.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3008
60.3%
Space Separator 825
 
16.5%
Decimal Number 668
 
13.4%
Open Punctuation 158
 
3.2%
Close Punctuation 158
 
3.2%
Other Punctuation 152
 
3.0%
Dash Punctuation 11
 
0.2%
Uppercase Letter 8
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 175
 
5.8%
자 171
 
5.7%
도 168
 
5.6%
군 167
 
5.6%
북 167
 
5.6%
시 167
 
5.6%
동 166
 
5.5%
전 164
 
5.5%
치 163
 
5.4%
별 163
 
5.4%
Other values (143) 1337
44.4%
Decimal Number
ValueCountFrequency (%)
2 133
19.9%
1 118
17.7%
3 117
17.5%
0 70
10.5%
4 57
8.5%
5 52
 
7.8%
6 34
 
5.1%
7 32
 
4.8%
8 32
 
4.8%
9 23
 
3.4%
Uppercase Letter
ValueCountFrequency (%)
B 3
37.5%
C 2
25.0%
Y 2
25.0%
E 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
, 149
98.0%
. 3
 
2.0%
Space Separator
ValueCountFrequency (%)
825
100.0%
Open Punctuation
ValueCountFrequency (%)
( 158
100.0%
Close Punctuation
ValueCountFrequency (%)
) 158
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3008
60.3%
Common 1973
39.5%
Latin 8
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 175
 
5.8%
자 171
 
5.7%
도 168
 
5.6%
군 167
 
5.6%
북 167
 
5.6%
시 167
 
5.6%
동 166
 
5.5%
전 164
 
5.5%
치 163
 
5.4%
별 163
 
5.4%
Other values (143) 1337
44.4%
Common
ValueCountFrequency (%)
825
41.8%
( 158
 
8.0%
) 158
 
8.0%
, 149
 
7.6%
2 133
 
6.7%
1 118
 
6.0%
3 117
 
5.9%
0 70
 
3.5%
4 57
 
2.9%
5 52
 
2.6%
Other values (7) 136
 
6.9%
Latin
ValueCountFrequency (%)
B 3
37.5%
C 2
25.0%
Y 2
25.0%
E 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3008
60.3%
ASCII 1981
39.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
825
41.6%
( 158
 
8.0%
) 158
 
8.0%
, 149
 
7.5%
2 133
 
6.7%
1 118
 
6.0%
3 117
 
5.9%
0 70
 
3.5%
4 57
 
2.9%
5 52
 
2.6%
Other values (11) 144
 
7.3%
Hangul
ValueCountFrequency (%)
산 175
 
5.8%
자 171
 
5.7%
도 168
 
5.6%
군 167
 
5.6%
북 167
 
5.6%
시 167
 
5.6%
동 166
 
5.5%
전 164
 
5.5%
치 163
 
5.4%
별 163
 
5.4%
Other values (143) 1337
44.4%

의료기관전화번호
Text

UNIQUE 

Distinct163
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-04-06T17:30:23.969147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1956
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

Unique163 ?
Unique (%)100.0%

Sample

1st row063-467-0333
2nd row063-443-0606
3rd row063-466-0777
4th row063-731-2100
5th row063-465-7007
ValueCountFrequency (%)
063-467-0333 1
 
0.6%
063-465-7582 1
 
0.6%
063-445-7566 1
 
0.6%
063-460-8800 1
 
0.6%
063-453-7598 1
 
0.6%
063-468-4519 1
 
0.6%
063-468-3333 1
 
0.6%
063-460-3800 1
 
0.6%
063-446-2992 1
 
0.6%
063-461-2222 1
 
0.6%
Other values (153) 153
93.9%
2024-04-06T17:30:24.791642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 326
16.7%
6 320
16.4%
0 305
15.6%
3 247
12.6%
4 225
11.5%
5 127
 
6.5%
7 106
 
5.4%
1 100
 
5.1%
2 84
 
4.3%
8 71
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1630
83.3%
Dash Punctuation 326
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 320
19.6%
0 305
18.7%
3 247
15.2%
4 225
13.8%
5 127
 
7.8%
7 106
 
6.5%
1 100
 
6.1%
2 84
 
5.2%
8 71
 
4.4%
9 45
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 326
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1956
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 326
16.7%
6 320
16.4%
0 305
15.6%
3 247
12.6%
4 225
11.5%
5 127
 
6.5%
7 106
 
5.4%
1 100
 
5.1%
2 84
 
4.3%
8 71
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1956
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 326
16.7%
6 320
16.4%
0 305
15.6%
3 247
12.6%
4 225
11.5%
5 127
 
6.5%
7 106
 
5.4%
1 100
 
5.1%
2 84
 
4.3%
8 71
 
3.6%

Interactions

2024-04-06T17:30:19.325757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-04-06T17:30:19.561578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:30:19.712808image/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
01조이소아청소년과의원전북특별자치도 군산시 계산로 51, 2층 201호 (지곡동)063-467-0333
12군산숲정신건강의학과의원전북특별자치도 군산시 궁포3로 4, 5층 501,502호 (조촌동)063-443-0606
23바로그의원전북특별자치도 군산시 월명로 219, (주)BYC 6층 (수송동)063-466-0777
34더나은정신건강의학과의원전북특별자치도 군산시 월명로 184, 현진빌딩 3층 302호 (수송동)063-731-2100
45마음편한정신건강의학과의원전북특별자치도 군산시 대학로 205, 외출준비 2층 (문화동)063-465-7007
56수이비인후과의원전북특별자치도 군산시 구암3.1로 10-3, 2층 (대명동)063-443-2224
67더건강의원전북특별자치도 군산시 미룡로 54, 지윤빌딩 1층 (미룡동)063-465-8830
78서울다나운내과의원전북특별자치도 군산시 하나운로 71, 군산제일신협 2층 (나운동)063-471-0911
89늘편한우리의원전북특별자치도 군산시 공항로 86, 106호 (소룡동)063-462-8275
910달팽이이비인후과의원전북특별자치도 군산시 궁포안1길 33, 2층 (조촌동)063-445-1005
순번의료기관명의료기관주소(도로명)의료기관전화번호
153154김이비인후과의원전북특별자치도 군산시 대학로 10 (영화동)063-445-2161
154155최현수의원전북특별자치도 군산시 수송로 12 (나운동)063-462-3112
155156군산안과의원전북특별자치도 군산시 중앙로 181 (중앙로1가)063-442-2171
156157군산정형외과가정의학과의원전북특별자치도 군산시 문화로 36, 2층 207-209호 (나운동, 주공4차상가)063-467-8833
157158신용호이비인후과의원전북특별자치도 군산시 대학로 32 (중앙로1가)063-446-1717
158159허기석피부과의원전북특별자치도 군산시 월명로 250 (수송동)063-445-2991
159160김정형외과의원전북특별자치도 군산시 대학로 46-1 (신창동)063-445-3735
160161이외과의원전북특별자치도 군산시 오룡로 54 (명산동)063-462-4565
161162이진하비뇨기과의원전북특별자치도 군산시 대학로 53 (명산동)063-445-7895
162163조정형외과의원전북특별자치도 군산시 구영5길 65-1 (신창동)063-445-6953