Overview

Dataset statistics

Number of variables9
Number of observations31
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory79.3 B

Variable types

Numeric3
Text4
Categorical1
DateTime1

Dataset

Description충청남도 당진시 에 위치한 보건소 현황 데이터로 기관명, 기관종류, 전화번호, 주소, 위도, 경도 등의 항목을 제공하고 있습니다.
Author충청남도 당진시
URLhttps://www.data.go.kr/data/15098610/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
의료기관명 has unique valuesUnique
전화번호 has unique valuesUnique
도로명주소 has unique valuesUnique
지번주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:32:26.482286
Analysis finished2023-12-12 14:32:28.201914
Duration1.72 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16
Minimum1
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T23:32:28.270477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.5
Q18.5
median16
Q323.5
95-th percentile29.5
Maximum31
Range30
Interquartile range (IQR)15

Descriptive statistics

Standard deviation9.0921211
Coefficient of variation (CV)0.56825757
Kurtosis-1.2
Mean16
Median Absolute Deviation (MAD)8
Skewness0
Sum496
Variance82.666667
MonotonicityStrictly increasing
2023-12-12T23:32:28.443991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1 1
 
3.2%
2 1
 
3.2%
31 1
 
3.2%
30 1
 
3.2%
29 1
 
3.2%
28 1
 
3.2%
27 1
 
3.2%
26 1
 
3.2%
25 1
 
3.2%
24 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
1 1
3.2%
2 1
3.2%
3 1
3.2%
4 1
3.2%
5 1
3.2%
6 1
3.2%
7 1
3.2%
8 1
3.2%
9 1
3.2%
10 1
3.2%
ValueCountFrequency (%)
31 1
3.2%
30 1
3.2%
29 1
3.2%
28 1
3.2%
27 1
3.2%
26 1
3.2%
25 1
3.2%
24 1
3.2%
23 1
3.2%
22 1
3.2%

의료기관명
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-12T23:32:28.686845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length7.0645161
Min length6

Characters and Unicode

Total characters219
Distinct characters51
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)100.0%

Sample

1st row신당보건진료소
2nd row석문면보건지소
3rd row합덕읍보건지소
4th row송산면보건지소
5th row순성면보건지소
ValueCountFrequency (%)
신당보건진료소 1
 
3.2%
공포보건진료소 1
 
3.2%
송악읍보건지소 1
 
3.2%
대호지면보건지소 1
 
3.2%
정미면보건지소 1
 
3.2%
삼봉보건진료소 1
 
3.2%
송학보건진료소 1
 
3.2%
아찬보건진료소 1
 
3.2%
도이보건진료소 1
 
3.2%
서정보건진료소 1
 
3.2%
Other values (21) 21
67.7%
2023-12-12T23:32:29.034703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
31
14.2%
31
14.2%
31
14.2%
21
 
9.6%
19
 
8.7%
13
 
5.9%
10
 
4.6%
4
 
1.8%
3
 
1.4%
3
 
1.4%
Other values (41) 53
24.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 219
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
31
14.2%
31
14.2%
31
14.2%
21
 
9.6%
19
 
8.7%
13
 
5.9%
10
 
4.6%
4
 
1.8%
3
 
1.4%
3
 
1.4%
Other values (41) 53
24.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 219
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
31
14.2%
31
14.2%
31
14.2%
21
 
9.6%
19
 
8.7%
13
 
5.9%
10
 
4.6%
4
 
1.8%
3
 
1.4%
3
 
1.4%
Other values (41) 53
24.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 219
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
31
14.2%
31
14.2%
31
14.2%
21
 
9.6%
19
 
8.7%
13
 
5.9%
10
 
4.6%
4
 
1.8%
3
 
1.4%
3
 
1.4%
Other values (41) 53
24.2%
Distinct3
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
보건진료소
19 
보건지소
11 
보건소
 
1

Length

Max length5
Median length5
Mean length4.5806452
Min length3

Unique

Unique1 ?
Unique (%)3.2%

Sample

1st row보건진료소
2nd row보건지소
3rd row보건지소
4th row보건지소
5th row보건지소

Common Values

ValueCountFrequency (%)
보건진료소 19
61.3%
보건지소 11
35.5%
보건소 1
 
3.2%

Length

2023-12-12T23:32:29.177646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:32:29.288547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보건진료소 19
61.3%
보건지소 11
35.5%
보건소 1
 
3.2%

전화번호
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-12T23:32:29.466731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters372
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)100.0%

Sample

1st row041-363-8551
2nd row041-360-6180
3rd row041-360-6140
4th row041-360-6250
5th row041-360-6220
ValueCountFrequency (%)
041 10
 
19.6%
356 4
 
7.8%
353 3
 
5.9%
041-363-8551 1
 
2.0%
041-353-7872 1
 
2.0%
041-362-7735 1
 
2.0%
2865 1
 
2.0%
8185 1
 
2.0%
041-358-8067 1
 
2.0%
041-360-6230 1
 
2.0%
Other values (27) 27
52.9%
2023-12-12T23:32:29.870681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 62
16.7%
3 49
13.2%
- 42
11.3%
4 41
11.0%
1 40
10.8%
6 40
10.8%
5 28
7.5%
20
 
5.4%
2 19
 
5.1%
8 12
 
3.2%
Other values (2) 19
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 310
83.3%
Dash Punctuation 42
 
11.3%
Space Separator 20
 
5.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 62
20.0%
3 49
15.8%
4 41
13.2%
1 40
12.9%
6 40
12.9%
5 28
9.0%
2 19
 
6.1%
8 12
 
3.9%
7 10
 
3.2%
9 9
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%
Space Separator
ValueCountFrequency (%)
20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 372
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 62
16.7%
3 49
13.2%
- 42
11.3%
4 41
11.0%
1 40
10.8%
6 40
10.8%
5 28
7.5%
20
 
5.4%
2 19
 
5.1%
8 12
 
3.2%
Other values (2) 19
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 372
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 62
16.7%
3 49
13.2%
- 42
11.3%
4 41
11.0%
1 40
10.8%
6 40
10.8%
5 28
7.5%
20
 
5.4%
2 19
 
5.1%
8 12
 
3.2%
Other values (2) 19
 
5.1%

도로명주소
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-12T23:32:30.193123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length32
Mean length27.774194
Min length18

Characters and Unicode

Total characters861
Distinct characters94
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

Unique31 ?
Unique (%)100.0%

Sample

1st row충청남도 당진시 신평면 원신당로 60-27
2nd row충청남도 당진시 석문면 통정3길 2-1 (석문보건지소)
3rd row충청남도 당진시 합덕읍 운산로 137 (합덕보건지소)
4th row충청남도 당진시 송산면 상거중앙길 57
5th row충청남도 당진시 순성면 남부로 1146 (순성면사무소, 보건지소)
ValueCountFrequency (%)
충청남도 31
 
17.6%
당진시 31
 
17.6%
송악읍 4
 
2.3%
신평면 3
 
1.7%
석문면 3
 
1.7%
면천면 3
 
1.7%
정미면 3
 
1.7%
순성면 3
 
1.7%
우강면 3
 
1.7%
송산면 2
 
1.1%
Other values (85) 90
51.1%
2023-12-12T23:32:30.686621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
145
 
16.8%
44
 
5.1%
33
 
3.8%
33
 
3.8%
32
 
3.7%
32
 
3.7%
32
 
3.7%
31
 
3.6%
30
 
3.5%
22
 
2.6%
Other values (84) 427
49.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 557
64.7%
Space Separator 145
 
16.8%
Decimal Number 101
 
11.7%
Close Punctuation 22
 
2.6%
Open Punctuation 22
 
2.6%
Dash Punctuation 12
 
1.4%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
44
 
7.9%
33
 
5.9%
33
 
5.9%
32
 
5.7%
32
 
5.7%
32
 
5.7%
31
 
5.6%
30
 
5.4%
22
 
3.9%
22
 
3.9%
Other values (68) 246
44.2%
Decimal Number
ValueCountFrequency (%)
1 17
16.8%
6 15
14.9%
5 13
12.9%
2 10
9.9%
7 10
9.9%
4 9
8.9%
9 9
8.9%
8 8
7.9%
3 7
6.9%
0 3
 
3.0%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
, 1
50.0%
Space Separator
ValueCountFrequency (%)
145
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 557
64.7%
Common 304
35.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
44
 
7.9%
33
 
5.9%
33
 
5.9%
32
 
5.7%
32
 
5.7%
32
 
5.7%
31
 
5.6%
30
 
5.4%
22
 
3.9%
22
 
3.9%
Other values (68) 246
44.2%
Common
ValueCountFrequency (%)
145
47.7%
) 22
 
7.2%
( 22
 
7.2%
1 17
 
5.6%
6 15
 
4.9%
5 13
 
4.3%
- 12
 
3.9%
2 10
 
3.3%
7 10
 
3.3%
4 9
 
3.0%
Other values (6) 29
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 557
64.7%
ASCII 304
35.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
145
47.7%
) 22
 
7.2%
( 22
 
7.2%
1 17
 
5.6%
6 15
 
4.9%
5 13
 
4.3%
- 12
 
3.9%
2 10
 
3.3%
7 10
 
3.3%
4 9
 
3.0%
Other values (6) 29
 
9.5%
Hangul