Overview

Dataset statistics

Number of variables7
Number of observations137
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.8 KiB
Average record size in memory58.0 B

Variable types

Numeric1
Text3
Categorical3

Dataset

Description전라남도 광양시에 위치한 의료기관 현황입니다. 병의원, 한의원, 치과 의원명, 소재지, 전화번호를 제공합니다.
URLhttps://www.data.go.kr/data/15102745/fileData.do

Alerts

데이터기준일 has constant value ""Constant
연번 is highly overall correlated with 의료기관구분High correlation
의료기관구분 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
의료기관명 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 16:16:53.883171
Analysis finished2023-12-12 16:16:54.370643
Duration0.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct137
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69
Minimum1
Maximum137
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-13T01:16:54.442061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.8
Q135
median69
Q3103
95-th percentile130.2
Maximum137
Range136
Interquartile range (IQR)68

Descriptive statistics

Standard deviation39.692569
Coefficient of variation (CV)0.57525462
Kurtosis-1.2
Mean69
Median Absolute Deviation (MAD)34
Skewness0
Sum9453
Variance1575.5
MonotonicityStrictly increasing
2023-12-13T01:16:54.569461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
95 1
 
0.7%
89 1
 
0.7%
90 1
 
0.7%
91 1
 
0.7%
92 1
 
0.7%
93 1
 
0.7%
94 1
 
0.7%
96 1
 
0.7%
104 1
 
0.7%
Other values (127) 127
92.7%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
137 1
0.7%
136 1
0.7%
135 1
0.7%
134 1
0.7%
133 1
0.7%
132 1
0.7%
131 1
0.7%
130 1
0.7%
129 1
0.7%
128 1
0.7%

의료기관명
Text

UNIQUE 

Distinct137
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-13T01:16:54.803776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length6.8467153
Min length4

Characters and Unicode

Total characters938
Distinct characters171
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

Unique137 ?
Unique (%)100.0%

Sample

1st row광양사랑병원
2nd row의료법인 현경의료재단 광양서울병원
3rd row강남병원
4th row의료법인광양의료재단 광양병원
5th row의료법인서영의료재단 광양우리병원
ValueCountFrequency (%)
광양사랑병원 1
 
0.7%
행복나눔치과의원 1
 
0.7%
광양웰치과의원 1
 
0.7%
우리치과의원 1
 
0.7%
유디치과의원 1
 
0.7%
하늘치과의원 1
 
0.7%
소담치과의원 1
 
0.7%
김옥희치과의원 1
 
0.7%
온누리치과의원 1
 
0.7%
청이비인후과의원 1
 
0.7%
Other values (132) 132
93.0%
2023-12-13T01:16:55.168765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 138
 
14.7%
원 137
 
14.6%
과 78
 
8.3%
치 41
 
4.4%
한 32
 
3.4%
양 29
 
3.1%
광 26
 
2.8%
병 13
 
1.4%
소 10
 
1.1%
이 10
 
1.1%
Other values (161) 424
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 933
99.5%
Space Separator 5
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 138
 
14.8%
원 137
 
14.7%
과 78
 
8.4%
치 41
 
4.4%
한 32
 
3.4%
양 29
 
3.1%
광 26
 
2.8%
병 13
 
1.4%
소 10
 
1.1%
이 10
 
1.1%
Other values (160) 419
44.9%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 933
99.5%
Common 5
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 138
 
14.8%
원 137
 
14.7%
과 78
 
8.4%
치 41
 
4.4%
한 32
 
3.4%
양 29
 
3.1%
광 26
 
2.8%
병 13
 
1.4%
소 10
 
1.1%
이 10
 
1.1%
Other values (160) 419
44.9%
Common
ValueCountFrequency (%)
5
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 933
99.5%
ASCII 5
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 138
 
14.8%
원 137
 
14.7%
과 78
 
8.4%
치 41
 
4.4%
한 32
 
3.4%
양 29
 
3.1%
광 26
 
2.8%
병 13
 
1.4%
소 10
 
1.1%
이 10
 
1.1%
Other values (160) 419
44.9%
ASCII
ValueCountFrequency (%)
5
100.0%

의료기관구분
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
의원
59 
치과의원
41 
한의원
24 
요양병원
 
5
병원
 
3
Other values (3)
 
5

Length

Max length4
Median length3
Mean length2.919708
Min length2

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row종합병원
2nd row종합병원
3rd row병원
4th row병원
5th row병원

Common Values

ValueCountFrequency (%)
의원 59
43.1%
치과의원 41
29.9%
한의원 24
17.5%
요양병원 5
 
3.6%
병원 3
 
2.2%
종합병원 2
 
1.5%
한방병원 2
 
1.5%
부속의원 1
 
0.7%

Length

2023-12-13T01:16:55.303913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:16:55.434848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 59
43.1%
치과의원 41
29.9%
한의원 24
17.5%
요양병원 5
 
3.6%
병원 3
 
2.2%
종합병원 2
 
1.5%
한방병원 2
 
1.5%
부속의원 1
 
0.7%

행정동
Categorical

Distinct7
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
중마동
68 
광양읍
48 
광영동
9 
금호동
 
6
옥곡면
 
4
Other values (2)
 
2

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique2 ?
Unique (%)1.5%

Sample

1st row중마동
2nd row중마동
3rd row중마동
4th row광양읍
5th row광양읍

Common Values

ValueCountFrequency (%)
중마동 68
49.6%
광양읍 48
35.0%
광영동 9
 
6.6%
금호동 6
 
4.4%
옥곡면 4
 
2.9%
진상면 1
 
0.7%
태인동 1
 
0.7%

Length

2023-12-13T01:16:55.553980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:16:55.665855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중마동 68
49.6%
광양읍 48
35.0%
광영동 9
 
6.6%
금호동 6
 
4.4%
옥곡면 4
 
2.9%
진상면 1
 
0.7%
태인동 1
 
0.7%

소재지도로명주소
Text

Distinct136
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-13T01:16:56.070708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length34
Mean length19.416058
Min length11

Characters and Unicode

Total characters2660
Distinct characters103
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

Unique135 ?
Unique (%)98.5%

Sample

1st row광양시 공영로 71 (중동)
2nd row광양시 진등길 93 (마동)
3rd row광양시 중마중앙로 17 (중동)
4th row광양시 광양읍 인덕로 992
5th row광양시 광양읍 숲샘길 80
ValueCountFrequency (%)
광양시 137
21.3%
중동 52
 
8.1%
2층 50
 
7.8%
광양읍 48
 
7.5%
중마중앙로 23
 
3.6%
1층 17
 
2.6%
공영로 14
 
2.2%
신재로 11
 
1.7%
칠성로 11
 
1.7%
광장로 11
 
1.7%
Other values (165) 269
41.8%
2023-12-13T01:16:56.698876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
506
19.0%
광 217
 
8.2%
양 189
 
7.1%
시 139
 
5.2%
중 116
 
4.4%
로 115
 
4.3%
1 112
 
4.2%
, 108
 
4.1%
2 106
 
4.0%
층 96
 
3.6%
Other values (93) 956
35.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1390
52.3%
Space Separator 506
 
19.0%
Decimal Number 472
 
17.7%
Other Punctuation 108
 
4.1%
Close Punctuation 82
 
3.1%
Open Punctuation 82
 
3.1%
Dash Punctuation 13
 
0.5%
Math Symbol 5
 
0.2%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 217
15.6%
양 189
13.6%
시 139
10.0%
중 116
 
8.3%
로 115
 
8.3%
층 96
 
6.9%
동 89
 
6.4%
읍 52
 
3.7%
마 36
 
2.6%
영 32
 
2.3%
Other values (75) 309
22.2%
Decimal Number
ValueCountFrequency (%)
1 112
23.7%
2 106
22.5%
4 42
 
8.9%
7 39
 
8.3%
3 36
 
7.6%
5 32
 
6.8%
6 32
 
6.8%
0 26
 
5.5%
8 25
 
5.3%
9 22
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
506
100.0%
Other Punctuation
ValueCountFrequency (%)
, 108
100.0%
Close Punctuation
ValueCountFrequency (%)
) 82
100.0%
Open Punctuation
ValueCountFrequency (%)
( 82
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1390
52.3%
Common 1268
47.7%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 217
15.6%
양 189
13.6%
시 139
10.0%
중 116
 
8.3%
로 115
 
8.3%
층 96
 
6.9%
동 89
 
6.4%
읍 52
 
3.7%
마 36
 
2.6%
영 32
 
2.3%
Other values (75) 309
22.2%
Common
ValueCountFrequency (%)
506
39.9%
1 112
 
8.8%
, 108
 
8.5%
2 106
 
8.4%
) 82
 
6.5%
( 82
 
6.5%
4 42
 
3.3%
7 39
 
3.1%
3 36
 
2.8%
5 32
 
2.5%
Other values (6) 123
 
9.7%
Latin
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1390
52.3%
ASCII 1270
47.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
506
39.8%
1 112
 
8.8%
, 108
 
8.5%
2 106
 
8.3%
) 82
 
6.5%
( 82
 
6.5%
4 42
 
3.3%
7 39
 
3.1%
3 36
 
2.8%
5 32
 
2.5%
Other values (8) 125
 
9.8%
Hangul
ValueCountFrequency (%)
광 217
15.6%
양 189
13.6%
시 139
10.0%
중 116
 
8.3%
로 115
 
8.3%
층 96
 
6.9%
동 89
 
6.4%
읍 52
 
3.7%
마 36
 
2.6%
영 32
 
2.3%
Other values (75) 309
22.2%

전화번호
Text

UNIQUE 

Distinct137
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-13T01:16:57.047964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1644
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

Unique137 ?
Unique (%)100.0%

Sample

1st row061-797-7000
2nd row061-798-9800
3rd row061-818-7575
4th row061-761-7575
5th row061-797-1000
ValueCountFrequency (%)
061-797-7000 1
 
0.7%
061-761-7600 1
 
0.7%
061-795-4010 1
 
0.7%
061-794-2879 1
 
0.7%
061-791-3311 1
 
0.7%
061-794-8500 1
 
0.7%
061-792-0204 1
 
0.7%
061-794-2275 1
 
0.7%
061-772-2875 1
 
0.7%
061-792-2879 1
 
0.7%
Other values (127) 127
92.7%
2023-12-13T01:16:57.529028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 274
16.7%
7 231
14.1%
0 224
13.6%
1 219
13.3%
6 211
12.8%
9 115
7.0%
5 104
 
6.3%
2 101
 
6.1%
8 72
 
4.4%
3 56
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1370
83.3%
Dash Punctuation 274
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 231
16.9%
0 224
16.4%
1 219
16.0%
6 211
15.4%
9 115
8.4%
5 104
7.6%
2 101
7.4%
8 72
 
5.3%
3 56
 
4.1%
4 37
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 274
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1644
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 274
16.7%
7 231
14.1%
0 224
13.6%
1 219
13.3%
6 211
12.8%
9 115
7.0%
5 104
 
6.3%
2 101
 
6.1%
8 72
 
4.4%
3 56
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1644
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 274
16.7%
7 231
14.1%
0 224
13.6%
1 219
13.3%
6 211
12.8%
9 115
7.0%
5 104
 
6.3%
2 101
 
6.1%
8 72
 
4.4%
3 56
 
3.4%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-07-10
137 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-07-10
2nd row2023-07-10
3rd row2023-07-10
4th row2023-07-10
5th row2023-07-10

Common Values

ValueCountFrequency (%)
2023-07-10 137
100.0%

Length

2023-12-13T01:16:57.716837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:16:57.824887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-07-10 137
100.0%

Interactions

2023-12-13T01:16:54.116811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:16:57.905534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번의료기관구분행정동
연번1.0000.8160.000
의료기관구분0.8161.0000.000
행정동0.0000.0001.000
2023-12-13T01:16:58.017337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정동의료기관구분
행정동1.0000.000
의료기관구분0.0001.000
2023-12-13T01:16:58.143604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번의료기관구분행정동
연번1.0000.5710.000
의료기관구분0.5711.0000.000
행정동0.0000.0001.000

Missing values

2023-12-13T01:16:54.217147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:16:54.328772image/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

연번의료기관명의료기관구분행정동소재지도로명주소전화번호데이터기준일
01광양사랑병원종합병원중마동광양시 공영로 71 (중동)061-797-70002023-07-10
12의료법인 현경의료재단 광양서울병원종합병원중마동광양시 진등길 93 (마동)061-798-98002023-07-10
23강남병원병원중마동광양시 중마중앙로 17 (중동)061-818-75752023-07-10
34의료법인광양의료재단 광양병원병원광양읍광양시 광양읍 인덕로 992061-761-75752023-07-10
45의료법인서영의료재단 광양우리병원병원광양읍광양시 광양읍 숲샘길 80061-797-10002023-07-10
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89탑요양병원요양병원광양읍광양시 광양읍 대림 오성로63-0061-913-80002023-07-10
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127128현대경희한의원한의원중마동광양시 오류2길 1, 2층 (중동)061-794-10752023-07-10
128129서울경희한의원한의원광양읍광양시 광양읍 칠성로 56, 1층061-761-00262023-07-10
129130표준한의원한의원중마동광양시 중마로 183, 2층 (중동)061-795-77552023-07-10
130131햇살한의원한의원중마동광양시 광장로 130, 2층 (중동)061-792-10662023-07-10
131132해승한의원한의원광영동광양시 광영로 125, 2층 (광영동)061-795-01752023-07-10
132133경희튼튼한의원한의원광양읍광양시 광양읍 칠성로 45, 3층061-763-88822023-07-10
133134백운한의원한의원금호동광양시 폭포사랑길 99, 2층 (금호동, 백운쇼핑센터)061-799-10002023-07-10
134135중화부부한의원한의원광양읍광양시 광양읍 용강로 18, 2층061-913-10752023-07-10
135136광양한의원한의원광양읍광양시 광양읍 신재로 18, 3층061-761-82752023-07-10
136137서명진광양한의원한의원광양읍광양시 광양읍 신재로 15061-762-10752023-07-10