Overview

Dataset statistics

Number of variables6
Number of observations59
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.0 KiB
Average record size in memory51.2 B

Variable types

Numeric1
Categorical2
Text3

Dataset

Description충청북도 옥천군_의료기관현황에 대한 데이터로 (구분, 기관명, 소재지 도로명주소, 전화번호, 데이터기준일 등)을 제공 합니다.
URLhttps://www.data.go.kr/data/15019066/fileData.do

Alerts

데이터기준일 has constant value ""Constant
연번 is highly overall correlated with 구분High correlation
구분 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-11 22:47:09.198305
Analysis finished2023-12-11 22:47:09.730604
Duration0.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct59
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30
Minimum1
Maximum59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size663.0 B
2023-12-12T07:47:09.786330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.9
Q115.5
median30
Q344.5
95-th percentile56.1
Maximum59
Range58
Interquartile range (IQR)29

Descriptive statistics

Standard deviation17.175564
Coefficient of variation (CV)0.5725188
Kurtosis-1.2
Mean30
Median Absolute Deviation (MAD)15
Skewness0
Sum1770
Variance295
MonotonicityStrictly increasing
2023-12-12T07:47:09.907819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.7%
2 1
 
1.7%
33 1
 
1.7%
34 1
 
1.7%
35 1
 
1.7%
36 1
 
1.7%
37 1
 
1.7%
38 1
 
1.7%
39 1
 
1.7%
40 1
 
1.7%
Other values (49) 49
83.1%
ValueCountFrequency (%)
1 1
1.7%
2 1
1.7%
3 1
1.7%
4 1
1.7%
5 1
1.7%
6 1
1.7%
7 1
1.7%
8 1
1.7%
9 1
1.7%
10 1
1.7%
ValueCountFrequency (%)
59 1
1.7%
58 1
1.7%
57 1
1.7%
56 1
1.7%
55 1
1.7%
54 1
1.7%
53 1
1.7%
52 1
1.7%
51 1
1.7%
50 1
1.7%

구분
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Memory size604.0 B
의원
27 
한의원
16 
치과의원
13 
요양병원
 
2
종합병원
 
1

Length

Max length4
Median length3
Mean length2.8135593
Min length2

Unique

Unique1 ?
Unique (%)1.7%

Sample

1st row종합병원
2nd row요양병원
3rd row요양병원
4th row의원
5th row의원

Common Values

ValueCountFrequency (%)
의원 27
45.8%
한의원 16
27.1%
치과의원 13
22.0%
요양병원 2
 
3.4%
종합병원 1
 
1.7%

Length

2023-12-12T07:47:10.018488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T07:47:10.110535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 27
45.8%
한의원 16
27.1%
치과의원 13
22.0%
요양병원 2
 
3.4%
종합병원 1
 
1.7%

기관명
Text

Distinct56
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Memory size604.0 B
2023-12-12T07:47:10.358058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length6.5254237
Min length4

Characters and Unicode

Total characters385
Distinct characters107
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

Unique53 ?
Unique (%)89.8%

Sample

1st row옥천성모병원
2nd row도담노인요양병원
3rd row참조은요양병원
4th row길마취통증의학과의원
5th row삼성서울내과의원
ValueCountFrequency (%)
동일한의원 2
 
3.3%
곰바우한의원 2
 
3.3%
성심한의원 2
 
3.3%
김한의원 1
 
1.6%
장치과의원 1
 
1.6%
연세편한내과의원 1
 
1.6%
청산윤해한의원 1
 
1.6%
옥천성모병원 1
 
1.6%
서울백세치과의원 1
 
1.6%
옥천탑치과의원 1
 
1.6%
Other values (48) 48
78.7%
2023-12-12T07:47:10.686645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 59
 
15.3%
의 58
 
15.1%
과 33
 
8.6%
한 18
 
4.7%
치 13
 
3.4%
정 8
 
2.1%
성 7
 
1.8%
인 6
 
1.6%
옥 6
 
1.6%
내 6
 
1.6%
Other values (97) 171
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 383
99.5%
Space Separator 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 59
 
15.4%
의 58
 
15.1%
과 33
 
8.6%
한 18
 
4.7%
치 13
 
3.4%
정 8
 
2.1%
성 7
 
1.8%
인 6
 
1.6%
옥 6
 
1.6%
내 6
 
1.6%
Other values (96) 169
44.1%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 383
99.5%
Common 2
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 59
 
15.4%
의 58
 
15.1%
과 33
 
8.6%
한 18
 
4.7%
치 13
 
3.4%
정 8
 
2.1%
성 7
 
1.8%
인 6
 
1.6%
옥 6
 
1.6%
내 6
 
1.6%
Other values (96) 169
44.1%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 383
99.5%
ASCII 2
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 59
 
15.4%
의 58
 
15.1%
과 33
 
8.6%
한 18
 
4.7%
치 13
 
3.4%
정 8
 
2.1%
성 7
 
1.8%
인 6
 
1.6%
옥 6
 
1.6%
내 6
 
1.6%
Other values (96) 169
44.1%
ASCII
ValueCountFrequency (%)
2
100.0%

소재지
Text

Distinct56
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Memory size604.0 B
2023-12-12T07:47:10.880465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length25
Mean length21.79661
Min length18

Characters and Unicode

Total characters1286
Distinct characters43
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique53 ?
Unique (%)89.8%

Sample

1st row충청북도 옥천군 옥천읍 성왕로 1195
2nd row충청북도 옥천군 옥천읍 청풍로 267-14
3rd row충청북도 옥천군 옥천읍 삼양로 5길 12
4th row충청북도 옥천군 옥천읍 삼양로 76
5th row충청북도 옥천군 옥천읍 금장로 31, 2층
ValueCountFrequency (%)
충청북도 62
19.0%
옥천군 59
18.0%
옥천읍 56
17.1%
삼금로 24
 
7.3%
2층 22
 
6.7%
금장로 11
 
3.4%
삼양로 7
 
2.1%
중앙로 6
 
1.8%
11 4
 
1.2%
1층 4
 
1.2%
Other values (56) 72
22.0%
2023-12-12T07:47:11.180263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
269
20.9%
옥 115
 
8.9%
천 115
 
8.9%
청 65
 
5.1%
충 62
 
4.8%
북 62
 
4.8%
도 62
 
4.8%
군 59
 
4.6%
로 57
 
4.4%
읍 56
 
4.4%
Other values (33) 364
28.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 813
63.2%
Space Separator 269
 
20.9%
Decimal Number 164
 
12.8%
Other Punctuation 29
 
2.3%
Dash Punctuation 11
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
옥 115
14.1%
천 115
14.1%
청 65
8.0%
충 62
7.6%
북 62
7.6%
도 62
7.6%
군 59
7.3%
로 57
7.0%
읍 56
6.9%
금 38
 
4.7%
Other values (20) 122
15.0%
Decimal Number
ValueCountFrequency (%)
2 42
25.6%
1 34
20.7%
5 22
13.4%
3 22
13.4%
4 12
 
7.3%
9 11
 
6.7%
6 9
 
5.5%
7 5
 
3.0%
8 4
 
2.4%
0 3
 
1.8%
Space Separator
ValueCountFrequency (%)
269
100.0%
Other Punctuation
ValueCountFrequency (%)
, 29
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 813
63.2%
Common 473
36.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
옥 115
14.1%
천 115
14.1%
청 65
8.0%
충 62
7.6%
북 62
7.6%
도 62
7.6%
군 59
7.3%
로 57
7.0%
읍 56
6.9%
금 38
 
4.7%
Other values (20) 122
15.0%
Common
ValueCountFrequency (%)
269
56.9%
2 42
 
8.9%
1 34
 
7.2%
, 29
 
6.1%
5 22
 
4.7%
3 22
 
4.7%
4 12
 
2.5%
9 11
 
2.3%
- 11
 
2.3%
6 9
 
1.9%
Other values (3) 12
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 813
63.2%
ASCII 473
36.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
269
56.9%
2 42
 
8.9%
1 34
 
7.2%
, 29
 
6.1%
5 22
 
4.7%
3 22
 
4.7%
4 12
 
2.5%
9 11
 
2.3%
- 11
 
2.3%
6 9
 
1.9%
Other values (3) 12
 
2.5%
Hangul
ValueCountFrequency (%)
옥 115
14.1%
천 115
14.1%
청 65
8.0%
충 62
7.6%
북 62
7.6%
도 62
7.6%
군 59
7.3%
로 57
7.0%
읍 56
6.9%
금 38
 
4.7%
Other values (20) 122
15.0%

전화번호
Text

Distinct56
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Memory size604.0 B
2023-12-12T07:47:11.388183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters708
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

Unique53 ?
Unique (%)89.8%

Sample

1st row043-730-7000
2nd row043-733-6604
3rd row043-731-0066
4th row043-731-8075
5th row043-731-7557
ValueCountFrequency (%)
043-733-5464 2
 
3.4%
043-731-7570 2
 
3.4%
043-731-9088 2
 
3.4%
043-731-3375 1
 
1.7%
043-732-0429 1
 
1.7%
043-762-7582 1
 
1.7%
043-733-0075 1
 
1.7%
043-730-7000 1
 
1.7%
043-732-2879 1
 
1.7%
043-733-2879 1
 
1.7%
Other values (46) 46
78.0%
2023-12-12T07:47:11.749678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 153
21.6%
- 118
16.7%
7 111
15.7%
0 84
11.9%
4 71
10.0%
1 39
 
5.5%
2 38
 
5.4%
5 35
 
4.9%
8 31
 
4.4%
6 14
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 590
83.3%
Dash Punctuation 118
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 153
25.9%
7 111
18.8%
0 84
14.2%
4 71
12.0%
1 39
 
6.6%
2 38
 
6.4%
5 35
 
5.9%
8 31
 
5.3%
6 14
 
2.4%
9 14
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 118
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 708
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 153
21.6%
- 118
16.7%
7 111
15.7%
0 84
11.9%
4 71
10.0%
1 39
 
5.5%
2 38
 
5.4%
5 35
 
4.9%
8 31
 
4.4%
6 14
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 708
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 153
21.6%
- 118
16.7%
7 111
15.7%
0 84
11.9%
4 71
10.0%
1 39
 
5.5%
2 38
 
5.4%
5 35
 
4.9%
8 31
 
4.4%
6 14
 
2.0%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size604.0 B
2023-07-18
59 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-07-18
2nd row2023-07-18
3rd row2023-07-18
4th row2023-07-18
5th row2023-07-18

Common Values

ValueCountFrequency (%)
2023-07-18 59
100.0%

Length

2023-12-12T07:47:11.865445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T07:47:11.945509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-07-18 59
100.0%

Interactions

2023-12-12T07:47:09.516418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T07:47:12.000052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분기관명소재지전화번호
연번1.0000.9430.8060.8060.806
구분0.9431.0001.0000.8791.000
기관명0.8061.0001.0000.9791.000
소재지0.8060.8790.9791.0000.979
전화번호0.8061.0001.0000.9791.000
2023-12-12T07:47:12.107120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분
연번1.0000.663
구분0.6631.000

Missing values

2023-12-12T07:47:09.607120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T07:47:09.699854image/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

연번구분기관명소재지전화번호데이터기준일
01종합병원옥천성모병원충청북도 옥천군 옥천읍 성왕로 1195043-730-70002023-07-18
12요양병원도담노인요양병원충청북도 옥천군 옥천읍 청풍로 267-14043-733-66042023-07-18
23요양병원참조은요양병원충청북도 옥천군 옥천읍 삼양로 5길 12043-731-00662023-07-18
34의원길마취통증의학과의원충청북도 옥천군 옥천읍 삼양로 76043-731-80752023-07-18
45의원삼성서울내과의원충청북도 옥천군 옥천읍 금장로 31, 2층043-731-75572023-07-18
56의원서울신통의원충청북도 옥천군 옥천읍 금장로 28043-733-75792023-07-18
67의원예인의원충청북도 옥천군 옥천읍 관성로 5, 2층043-733-43842023-07-18
78의원열린 가정의학과의원충청북도 옥천군 옥천읍 삼금로 55, 2층043-733-53752023-07-18
89의원김안과의원충청북도 옥천군 옥천읍 삼금로 5043-731-75622023-07-18
910의원온누리정신과의원충청북도 옥천군 옥천읍 삼금로 21, 2층043-731-77332023-07-18
연번구분기관명소재지전화번호데이터기준일
4950한의원인성한의원충청북도 옥천군 옥천읍 삼양로 96043-731-22122023-07-18
5051한의원은혜한의원충청북도 옥천군 옥천읍 삼금로 18043-733-41162023-07-18
5152한의원혜인당중국한의원충청북도 옥천군 옥천읍 금장로 15043-732-04292023-07-18
5253한의원동일한의원충청북도 옥천군 옥천읍 중앙로 69043-733-54642023-07-18
5354한의원김한의원충청북도 옥천군 옥천읍 금장로 13-4, 1층043-731-33752023-07-18
5455한의원곰바우한의원충청북도 충청북도 옥천군 옥천읍 삼금로5길 7-10043-731-75702023-07-18
5556한의원동일한의원충청북도 충청북도 옥천군 옥천읍 중앙로 69043-733-54642023-07-18
5657한의원성심한의원충청북도 충청북도 옥천군 옥천읍 삼금로 25, 2층043-731-90882023-07-18
5758한의원청산윤해한의원충청북도 옥천군 청산면 지전길 39, 2층043-733-00752023-07-18
5859한의원이원맥한의원충청북도 옥천군 이원면 묘목로 122-2043-731-75882023-07-18