Overview

Dataset statistics

Number of variables6
Number of observations26
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory54.1 B

Variable types

Numeric1
Categorical1
Text3
DateTime1

Dataset

Description충청남도 청양군에 소재하고 있는 의료기관 현황입니다. 데이터 상세 내용은 종별, 영업소명, 사업장소재지, 전화번호 등입니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=430&beforeMenuCd=DOM_000000201001001000&publicdatapk=3076210

Alerts

데이터기준일 has constant value ""Constant
연번 is highly overall correlated with 종별High correlation
종별 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
업소명칭 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-01-09 20:14:00.065224
Analysis finished2024-01-09 20:14:01.097972
Duration1.03 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.5
Minimum1
Maximum26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-01-10T05:14:01.179527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.25
Q17.25
median13.5
Q319.75
95-th percentile24.75
Maximum26
Range25
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation7.6485293
Coefficient of variation (CV)0.56655772
Kurtosis-1.2
Mean13.5
Median Absolute Deviation (MAD)6.5
Skewness0
Sum351
Variance58.5
MonotonicityStrictly increasing
2024-01-10T05:14:01.331084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1 1
 
3.8%
15 1
 
3.8%
26 1
 
3.8%
25 1
 
3.8%
24 1
 
3.8%
23 1
 
3.8%
22 1
 
3.8%
21 1
 
3.8%
20 1
 
3.8%
19 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
1 1
3.8%
2 1
3.8%
3 1
3.8%
4 1
3.8%
5 1
3.8%
6 1
3.8%
7 1
3.8%
8 1
3.8%
9 1
3.8%
10 1
3.8%
ValueCountFrequency (%)
26 1
3.8%
25 1
3.8%
24 1
3.8%
23 1
3.8%
22 1
3.8%
21 1
3.8%
20 1
3.8%
19 1
3.8%
18 1
3.8%
17 1
3.8%

종별
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Memory size340.0 B
의원
10 
치과의원
7 
한의원
7 
일반요양병원
2 

Length

Max length6
Median length4
Mean length3.1153846
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일반요양병원
2nd row일반요양병원
3rd row의원
4th row의원
5th row의원

Common Values

ValueCountFrequency (%)
의원 10
38.5%
치과의원 7
26.9%
한의원 7
26.9%
일반요양병원 2
 
7.7%

Length

2024-01-10T05:14:01.505642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:14:01.651602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 10
38.5%
치과의원 7
26.9%
한의원 7
26.9%
일반요양병원 2
 
7.7%

업소명칭
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-01-10T05:14:01.871433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15.5
Mean length6.8076923
Min length4

Characters and Unicode

Total characters177
Distinct characters59
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

Unique26 ?
Unique (%)100.0%

Sample

1st row의료법인 연훈의료재단 청양훈요양병원
2nd row의료법인 가온의료재단 청양요양병원
3rd row삼성의원
4th row신세계의원
5th row서울제통마취통증의학과의원
ValueCountFrequency (%)
의료법인 2
 
6.7%
서울치과의원 1
 
3.3%
최한의원 1
 
3.3%
정산한의원 1
 
3.3%
서울한의원 1
 
3.3%
백제한의원 1
 
3.3%
성심한의원 1
 
3.3%
으뜸한의원 1
 
3.3%
청양감동치과의원 1
 
3.3%
정산치과의원 1
 
3.3%
Other values (19) 19
63.3%
2024-01-10T05:14:02.319549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 29
 
16.4%
원 26
 
14.7%
과 10
 
5.6%
치 7
 
4.0%
양 7
 
4.0%
한 7
 
4.0%
청 6
 
3.4%
정 4
 
2.3%
4
 
2.3%
료 4
 
2.3%
Other values (49) 73
41.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 173
97.7%
Space Separator 4
 
2.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 29
16.8%
원 26
 
15.0%
과 10
 
5.8%
치 7
 
4.0%
양 7
 
4.0%
한 7
 
4.0%
청 6
 
3.5%
정 4
 
2.3%
료 4
 
2.3%
제 4
 
2.3%
Other values (48) 69
39.9%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 173
97.7%
Common 4
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 29
16.8%
원 26
 
15.0%
과 10
 
5.8%
치 7
 
4.0%
양 7
 
4.0%
한 7
 
4.0%
청 6
 
3.5%
정 4
 
2.3%
료 4
 
2.3%
제 4
 
2.3%
Other values (48) 69
39.9%
Common
ValueCountFrequency (%)
4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 173
97.7%
ASCII 4
 
2.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 29
16.8%
원 26
 
15.0%
과 10
 
5.8%
치 7
 
4.0%
양 7
 
4.0%
한 7
 
4.0%
청 6
 
3.5%
정 4
 
2.3%
료 4
 
2.3%
제 4
 
2.3%
Other values (48) 69
39.9%
ASCII
ValueCountFrequency (%)
4
100.0%

사업장소재지(도로명)
Text

Distinct24
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-01-10T05:14:02.580736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length27
Mean length21.423077
Min length19

Characters and Unicode

Total characters557
Distinct characters38
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)84.6%

Sample

1st row충청남도 청양군 청양읍 칠갑산로 157
2nd row충청남도 청양군 청양읍 중앙로 151
3rd row충청남도 청양군 청양읍 중앙로 130-1
4th row충청남도 청양군 청양읍 칠갑산로 220 (청양농협회관)
5th row충청남도 청양군 청양읍 중앙로11길 4-1, 2층
ValueCountFrequency (%)
충청남도 26
19.7%
청양군 26
19.7%
청양읍 22
16.7%
중앙로 13
9.8%
칠갑산로 7
 
5.3%
정산면 4
 
3.0%
중앙로9길 2
 
1.5%
1912 2
 
1.5%
112-1 2
 
1.5%
110 1
 
0.8%
Other values (27) 27
20.5%
2024-01-10T05:14:03.030881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
106
19.0%
청 75
13.5%
양 49
 
8.8%
1 33
 
5.9%
충 26
 
4.7%
남 26
 
4.7%
도 26
 
4.7%
군 26
 
4.7%
로 25
 
4.5%
읍 22
 
3.9%
Other values (28) 143
25.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 359
64.5%
Space Separator 106
 
19.0%
Decimal Number 83
 
14.9%
Dash Punctuation 6
 
1.1%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 75
20.9%
양 49
13.6%
충 26
 
7.2%
남 26
 
7.2%
도 26
 
7.2%
군 26
 
7.2%
로 25
 
7.0%
읍 22
 
6.1%
중 17
 
4.7%
앙 17
 
4.7%
Other values (13) 50
13.9%
Decimal Number
ValueCountFrequency (%)
1 33
39.8%
2 13
 
15.7%
0 6
 
7.2%
9 6
 
7.2%
3 5
 
6.0%
6 5
 
6.0%
4 5
 
6.0%
5 5
 
6.0%
7 3
 
3.6%
8 2
 
2.4%
Space Separator
ValueCountFrequency (%)
106
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 359
64.5%
Common 198
35.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 75
20.9%
양 49
13.6%
충 26
 
7.2%
남 26
 
7.2%
도 26
 
7.2%
군 26
 
7.2%
로 25
 
7.0%
읍 22
 
6.1%
중 17
 
4.7%
앙 17
 
4.7%
Other values (13) 50
13.9%
Common
ValueCountFrequency (%)
106
53.5%
1 33
 
16.7%
2 13
 
6.6%
0 6
 
3.0%
- 6
 
3.0%
9 6
 
3.0%
3 5
 
2.5%
6 5
 
2.5%
4 5
 
2.5%
5 5
 
2.5%
Other values (5) 8
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 359
64.5%
ASCII 198
35.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
106
53.5%
1 33
 
16.7%
2 13
 
6.6%
0 6
 
3.0%
- 6
 
3.0%
9 6
 
3.0%
3 5
 
2.5%
6 5
 
2.5%
4 5
 
2.5%
5 5
 
2.5%
Other values (5) 8
 
4.0%
Hangul
ValueCountFrequency (%)
청 75
20.9%
양 49
13.6%
충 26
 
7.2%
남 26
 
7.2%
도 26
 
7.2%
군 26
 
7.2%
로 25
 
7.0%
읍 22
 
6.1%
중 17
 
4.7%
앙 17
 
4.7%
Other values (13) 50
13.9%

전화번호
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-01-10T05:14:03.305336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters312
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

Unique26 ?
Unique (%)100.0%

Sample

1st row041-943-8114
2nd row041-944-1277
3rd row041-943-2116
4th row041-942-2500
5th row041-943-3838
ValueCountFrequency (%)
041-943-8114 1
 
3.8%
041-944-1277 1
 
3.8%
041-943-2264 1
 
3.8%
041-943-2092 1
 
3.8%
041-942-8275 1
 
3.8%
041-943-6477 1
 
3.8%
041-944-2258 1
 
3.8%
041-942-1071 1
 
3.8%
041-942-2879 1
 
3.8%
041-942-0988 1
 
3.8%
Other values (16) 16
61.5%
2024-01-10T05:14:03.715910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 58
18.6%
- 52
16.7%
0 38
12.2%
1 34
10.9%
9 30
9.6%
2 28
9.0%
3 21
 
6.7%
7 16
 
5.1%
8 14
 
4.5%
5 12
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 260
83.3%
Dash Punctuation 52
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 58
22.3%
0 38
14.6%
1 34
13.1%
9 30
11.5%
2 28
10.8%
3 21
 
8.1%
7 16
 
6.2%
8 14
 
5.4%
5 12
 
4.6%
6 9
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 312
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 58
18.6%
- 52
16.7%
0 38
12.2%
1 34
10.9%
9 30
9.6%
2 28
9.0%
3 21
 
6.7%
7 16
 
5.1%
8 14
 
4.5%
5 12
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 312
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 58
18.6%
- 52
16.7%
0 38
12.2%
1 34
10.9%
9 30
9.6%
2 28
9.0%
3 21
 
6.7%
7 16
 
5.1%
8 14
 
4.5%
5 12
 
3.8%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum2023-05-19 00:00:00
Maximum2023-05-19 00:00:00
2024-01-10T05:14:03.865747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:14:03.989377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-01-10T05:14:00.319464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T05:14:04.095052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번종별업소명칭사업장소재지(도로명)전화번호
연번1.0000.9101.0000.8921.000
종별0.9101.0001.0000.7141.000
업소명칭1.0001.0001.0001.0001.000
사업장소재지(도로명)0.8920.7141.0001.0001.000
전화번호1.0001.0001.0001.0001.000
2024-01-10T05:14:04.233791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번종별
연번1.0000.676
종별0.6761.000

Missing values

2024-01-10T05:14:00.907192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T05:14:01.043645image/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

연번종별업소명칭사업장소재지(도로명)전화번호데이터기준일
01일반요양병원의료법인 연훈의료재단 청양훈요양병원충청남도 청양군 청양읍 칠갑산로 157041-943-81142023-05-19
12일반요양병원의료법인 가온의료재단 청양요양병원충청남도 청양군 청양읍 중앙로 151041-944-12772023-05-19
23의원삼성의원충청남도 청양군 청양읍 중앙로 130-1041-943-21162023-05-19
34의원신세계의원충청남도 청양군 청양읍 칠갑산로 220 (청양농협회관)041-942-25002023-05-19
45의원서울제통마취통증의학과의원충청남도 청양군 청양읍 중앙로11길 4-1, 2층041-943-38382023-05-19
56의원우리제일의원충청남도 청양군 청양읍 중앙로 124041-943-75012023-05-19
67의원김성호내과의원충청남도 청양군 청양읍 중앙로 84041-943-65562023-05-19
78의원이재영의원충청남도 청양군 청양읍 중앙로 107041-943-82702023-05-19
89의원현대의원충청남도 청양군 정산면 서정2길 14041-943-82772023-05-19
910의원정산의원충청남도 청양군 정산면 칠갑산로 1916041-943-67532023-05-19
연번종별업소명칭사업장소재지(도로명)전화번호데이터기준일
1617치과의원청양치과의원충청남도 청양군 청양읍 칠갑산로 225041-943-25752023-05-19
1718치과의원정산치과의원충청남도 청양군 정산면 칠갑산로 1912041-942-09882023-05-19
1819치과의원청양감동치과의원충청남도 청양군 청양읍 중앙로 136041-942-28792023-05-19
1920한의원으뜸한의원충청남도 청양군 청양읍 중앙로 140041-942-10712023-05-19
2021한의원성심한의원충청남도 청양군 청양읍 중앙로9길 6041-944-22582023-05-19
2122한의원백제한의원충청남도 청양군 청양읍 중앙로 112-1041-943-64772023-05-19
2223한의원서울한의원충청남도 청양군 청양읍 중앙로9길 7041-942-82752023-05-19
2324한의원정산한의원충청남도 청양군 정산면 칠갑산로 1912041-943-20922023-05-19
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