Overview

Dataset statistics

Number of variables4
Number of observations71
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory34.8 B

Variable types

Numeric1
Text3

Dataset

Description전라북도 군산시에 소재한 한의원 현황으로 의료기관명, 의료기관주소, 의료기관전화번호와 관련된 데이터를 제공합니다.
Author전북특별자치도 군산시
URLhttps://www.data.go.kr/data/15055426/fileData.do

Alerts

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

Reproduction

Analysis started2024-03-14 19:33:03.959921
Analysis finished2024-03-14 19:33:05.058678
Duration1.1 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct71
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36
Minimum1
Maximum71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size767.0 B
2024-03-15T04:33:05.273175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.5
Q118.5
median36
Q353.5
95-th percentile67.5
Maximum71
Range70
Interquartile range (IQR)35

Descriptive statistics

Standard deviation20.639767
Coefficient of variation (CV)0.57332687
Kurtosis-1.2
Mean36
Median Absolute Deviation (MAD)18
Skewness0
Sum2556
Variance426
MonotonicityStrictly increasing
2024-03-15T04:33:05.726947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.4%
2 1
 
1.4%
53 1
 
1.4%
52 1
 
1.4%
51 1
 
1.4%
50 1
 
1.4%
49 1
 
1.4%
48 1
 
1.4%
47 1
 
1.4%
46 1
 
1.4%
Other values (61) 61
85.9%
ValueCountFrequency (%)
1 1
1.4%
2 1
1.4%
3 1
1.4%
4 1
1.4%
5 1
1.4%
6 1
1.4%
7 1
1.4%
8 1
1.4%
9 1
1.4%
10 1
1.4%
ValueCountFrequency (%)
71 1
1.4%
70 1
1.4%
69 1
1.4%
68 1
1.4%
67 1
1.4%
66 1
1.4%
65 1
1.4%
64 1
1.4%
63 1
1.4%
62 1
1.4%

의료기관명
Text

UNIQUE 

Distinct71
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size696.0 B
2024-03-15T04:33:06.609057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length5
Mean length5.6338028
Min length4

Characters and Unicode

Total characters400
Distinct characters113
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

Unique71 ?
Unique (%)100.0%

Sample

1st row가람한의원
2nd row한아름한의원
3rd row동추한의원
4th row프라임한의원
5th row이수부부한의원
ValueCountFrequency (%)
한의원 8
 
10.1%
가람한의원 1
 
1.3%
인제한의원 1
 
1.3%
거북이한의원 1
 
1.3%
홍한의원 1
 
1.3%
명성한의원 1
 
1.3%
박광우한의원 1
 
1.3%
양병재 1
 
1.3%
남천한의원 1
 
1.3%
동의보감한의원 1
 
1.3%
Other values (62) 62
78.5%
2024-03-15T04:33:07.815426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
한 74
18.5%
원 74
18.5%
의 72
18.0%
8
 
2.0%
부 6
 
1.5%
정 5
 
1.2%
인 5
 
1.2%
성 5
 
1.2%
동 5
 
1.2%
임 4
 
1.0%
Other values (103) 142
35.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 389
97.2%
Space Separator 8
 
2.0%
Decimal Number 3
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
한 74
19.0%
원 74
19.0%
의 72
18.5%
부 6
 
1.5%
정 5
 
1.3%
인 5
 
1.3%
성 5
 
1.3%
동 5
 
1.3%
임 4
 
1.0%
대 4
 
1.0%
Other values (99) 135
34.7%
Decimal Number
ValueCountFrequency (%)
3 1
33.3%
6 1
33.3%
5 1
33.3%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 389
97.2%
Common 11
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
한 74
19.0%
원 74
19.0%
의 72
18.5%
부 6
 
1.5%
정 5
 
1.3%
인 5
 
1.3%
성 5
 
1.3%
동 5
 
1.3%
임 4
 
1.0%
대 4
 
1.0%
Other values (99) 135
34.7%
Common
ValueCountFrequency (%)
8
72.7%
3 1
 
9.1%
6 1
 
9.1%
5 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 389
97.2%
ASCII 11
 
2.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
한 74
19.0%
원 74
19.0%
의 72
18.5%
부 6
 
1.5%
정 5
 
1.3%
인 5
 
1.3%
성 5
 
1.3%
동 5
 
1.3%
임 4
 
1.0%
대 4
 
1.0%
Other values (99) 135
34.7%
ASCII
ValueCountFrequency (%)
8
72.7%
3 1
 
9.1%
6 1
 
9.1%
5 1
 
9.1%

의료기관주소(도로명)
Text

UNIQUE 

Distinct71
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size696.0 B
2024-03-15T04:33:09.836112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length40
Mean length28.760563
Min length23

Characters and Unicode

Total characters2042
Distinct characters123
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique71 ?
Unique (%)100.0%

Sample

1st row전북특별자치도 군산시 하나운안1길 37-1, 103-1호 (나운동)
2nd row전북특별자치도 군산시 미제1길 7-1, 201호 (미룡동)
3rd row전북특별자치도 군산시 수송로 163, 2층 (수송동)
4th row전북특별자치도 군산시 월명로 201, 3, 4층 (수송동)
5th row전북특별자치도 군산시 궁포3로 5, 2층 (조촌동)
ValueCountFrequency (%)
전북특별자치도 71
 
17.4%
군산시 71
 
17.4%
나운동 17
 
4.2%
2층 15
 
3.7%
수송동 13
 
3.2%
3층 7
 
1.7%
대학로 7
 
1.7%
하나운로 6
 
1.5%
수송로 6
 
1.5%
조촌동 6
 
1.5%
Other values (140) 188
46.2%
2024-03-15T04:33:11.921071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
338
 
16.6%
전 74
 
3.6%
산 74
 
3.6%
북 73
 
3.6%
군 72
 
3.5%
시 72
 
3.5%
특 71
 
3.5%
별 71
 
3.5%
자 71
 
3.5%
치 71
 
3.5%
Other values (113) 1055
51.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1259
61.7%
Space Separator 338
 
16.6%
Decimal Number 252
 
12.3%
Close Punctuation 67
 
3.3%
Open Punctuation 67
 
3.3%
Other Punctuation 46
 
2.3%
Dash Punctuation 9
 
0.4%
Uppercase Letter 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 74
 
5.9%
산 74
 
5.9%
북 73
 
5.8%
군 72
 
5.7%
시 72
 
5.7%
특 71
 
5.6%
별 71
 
5.6%
자 71
 
5.6%
치 71
 
5.6%
도 71
 
5.6%
Other values (93) 539
42.8%
Decimal Number
ValueCountFrequency (%)
1 56
22.2%
2 48
19.0%
3 32
12.7%
5 20
 
7.9%
4 19
 
7.5%
0 18
 
7.1%
7 18
 
7.1%
6 14
 
5.6%
9 14
 
5.6%
8 13
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
K 1
25.0%
B 1
25.0%
Y 1
25.0%
C 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 42
91.3%
. 4
 
8.7%
Space Separator
ValueCountFrequency (%)
338
100.0%
Close Punctuation
ValueCountFrequency (%)
) 67
100.0%
Open Punctuation
ValueCountFrequency (%)
( 67
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1259
61.7%
Common 779
38.1%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 74
 
5.9%
산 74
 
5.9%
북 73
 
5.8%
군 72
 
5.7%
시 72
 
5.7%
특 71
 
5.6%
별 71
 
5.6%
자 71
 
5.6%
치 71
 
5.6%
도 71
 
5.6%
Other values (93) 539
42.8%
Common
ValueCountFrequency (%)
338
43.4%
) 67
 
8.6%
( 67
 
8.6%
1 56
 
7.2%
2 48
 
6.2%
, 42
 
5.4%
3 32
 
4.1%
5 20
 
2.6%
4 19
 
2.4%
0 18
 
2.3%
Other values (6) 72
 
9.2%
Latin
ValueCountFrequency (%)
K 1
25.0%
B 1
25.0%
Y 1
25.0%
C 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1259
61.7%
ASCII 783
38.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
338
43.2%
) 67
 
8.6%
( 67
 
8.6%
1 56
 
7.2%
2 48
 
6.1%
, 42
 
5.4%
3 32
 
4.1%
5 20
 
2.6%
4 19
 
2.4%
0 18
 
2.3%
Other values (10) 76
 
9.7%
Hangul
ValueCountFrequency (%)
전 74
 
5.9%
산 74
 
5.9%
북 73
 
5.8%
군 72
 
5.7%
시 72
 
5.7%
특 71
 
5.6%
별 71
 
5.6%
자 71
 
5.6%
치 71
 
5.6%
도 71
 
5.6%
Other values (93) 539
42.8%

의료기관전화번호
Text

UNIQUE 

Distinct71
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size696.0 B
2024-03-15T04:33:13.068802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters852
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

Unique71 ?
Unique (%)100.0%

Sample

1st row063-910-8275
2nd row063-468-8875
3rd row063-466-2200
4th row063-734-4975
5th row063-445-1075
ValueCountFrequency (%)
063-910-8275 1
 
1.4%
063-468-1510 1
 
1.4%
063-465-3423 1
 
1.4%
063-467-8275 1
 
1.4%
063-463-0088 1
 
1.4%
063-442-7769 1
 
1.4%
063-467-0718 1
 
1.4%
063-442-4142 1
 
1.4%
063-442-7113 1
 
1.4%
063-467-7365 1
 
1.4%
Other values (61) 61
85.9%
2024-03-15T04:33:14.530282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 142
16.7%
6 132
15.5%
0 115
13.5%
3 108
12.7%
4 104
12.2%
5 68
8.0%
7 50
 
5.9%
1 46
 
5.4%
8 35
 
4.1%
2 33
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 710
83.3%
Dash Punctuation 142
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 132
18.6%
0 115
16.2%
3 108
15.2%
4 104
14.6%
5 68
9.6%
7 50
 
7.0%
1 46
 
6.5%
8 35
 
4.9%
2 33
 
4.6%
9 19
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 142
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 852
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 142
16.7%
6 132
15.5%
0 115
13.5%
3 108
12.7%
4 104
12.2%
5 68
8.0%
7 50
 
5.9%
1 46
 
5.4%
8 35
 
4.1%
2 33
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 852
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 142
16.7%
6 132
15.5%
0 115
13.5%
3 108
12.7%
4 104
12.2%
5 68
8.0%
7 50
 
5.9%
1 46
 
5.4%
8 35
 
4.1%
2 33
 
3.9%

Interactions

2024-03-15T04:33:04.298477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T04:33:14.694188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번의료기관명의료기관주소(도로명)의료기관전화번호
순번1.0001.0001.0001.000
의료기관명1.0001.0001.0001.000
의료기관주소(도로명)1.0001.0001.0001.000
의료기관전화번호1.0001.0001.0001.000

Missing values

2024-03-15T04:33:04.639353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T04:33:04.946108image/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
01가람한의원전북특별자치도 군산시 하나운안1길 37-1, 103-1호 (나운동)063-910-8275
12한아름한의원전북특별자치도 군산시 미제1길 7-1, 201호 (미룡동)063-468-8875
23동추한의원전북특별자치도 군산시 수송로 163, 2층 (수송동)063-466-2200
34프라임한의원전북특별자치도 군산시 월명로 201, 3, 4층 (수송동)063-734-4975
45이수부부한의원전북특별자치도 군산시 궁포3로 5, 2층 (조촌동)063-445-1075
56옥서한의원전북특별자치도 군산시 옥서면 옥구저수지로 217063-471-7825
67임찬한한의원전북특별자치도 군산시 하나운로 81, 2층 (나운동)063-467-8875
78서석종한의원전북특별자치도 군산시 황룡1길 29, 1층 (미룡동)063-443-1075
89경희혜원한의원전북특별자치도 군산시 하나운로 77, 아리따움 2층 (나운동)063-465-6300
910군산마음한의원전북특별자치도 군산시 궁포1로 24-9, 엔비빌딩 201, 204호 (조촌동)063-453-7588
순번의료기관명의료기관주소(도로명)의료기관전화번호
6162박천수한의원전북특별자치도 군산시 서래로 24 (금암동)063-442-8911
6263삼성한의원전북특별자치도 군산시 백토로 114 (나운동)063-468-7575
6364고려한의원전북특별자치도 군산시 하나운로 76, 2층 (나운동)063-467-6300
6465제일한의원전북특별자치도 군산시 대학로 180 (문화동)063-463-7941
6566구화당한의원전북특별자치도 군산시 구영5길 119 (영화동)063-445-2441
6667태창한의원전북특별자치도 군산시 구암3.1로 55, 태창한의원 2층 (경암동)063-445-5093
6768임정골 한의원전북특별자치도 군산시 대학로 104 (금광동)063-465-2501
6869동양 한의원전북특별자치도 군산시 죽성로 26 (죽성동)063-445-2379
6970중국 한의원전북특별자치도 군산시 대학로 55 (명산동)063-445-3302
7071중앙한의원전북특별자치도 군산시 구암3.1로 1 (대명동)063-445-5262