Overview

Dataset statistics

Number of variables4
Number of observations25
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory957.0 B
Average record size in memory38.3 B

Variable types

Numeric1
Text3

Dataset

Description전라남도 함평군 관내 보건기관 현황에 대한 데이터 자료로 20220906 기준 함평군 관내의 기관명, 주소, 연락처 등의 자료를 제공합니다.
Author전라남도 함평군
URLhttps://www.data.go.kr/data/15061692/fileData.do

Alerts

연번 has unique valuesUnique
보건기관 has unique valuesUnique
주소 has unique valuesUnique
연락처 has unique valuesUnique

Reproduction

Analysis started2023-12-12 10:43:14.320820
Analysis finished2023-12-12 10:43:14.899393
Duration0.58 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13
Minimum1
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-12T19:43:14.988041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.2
Q17
median13
Q319
95-th percentile23.8
Maximum25
Range24
Interquartile range (IQR)12

Descriptive statistics

Standard deviation7.3598007
Coefficient of variation (CV)0.56613852
Kurtosis-1.2
Mean13
Median Absolute Deviation (MAD)6
Skewness0
Sum325
Variance54.166667
MonotonicityStrictly increasing
2023-12-12T19:43:15.158956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1 1
 
4.0%
2 1
 
4.0%
25 1
 
4.0%
24 1
 
4.0%
23 1
 
4.0%
22 1
 
4.0%
21 1
 
4.0%
20 1
 
4.0%
19 1
 
4.0%
18 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
1 1
4.0%
2 1
4.0%
3 1
4.0%
4 1
4.0%
5 1
4.0%
6 1
4.0%
7 1
4.0%
8 1
4.0%
9 1
4.0%
10 1
4.0%
ValueCountFrequency (%)
25 1
4.0%
24 1
4.0%
23 1
4.0%
22 1
4.0%
21 1
4.0%
20 1
4.0%
19 1
4.0%
18 1
4.0%
17 1
4.0%
16 1
4.0%

보건기관
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T19:43:15.409359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.48
Min length3

Characters and Unicode

Total characters187
Distinct characters43
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

Unique25 ?
Unique (%)100.0%

Sample

1st row보건소
2nd row손불 보건지소
3rd row신광 보건지소
4th row학교 보건지소
5th row엄다 보건지소
ValueCountFrequency (%)
보건진료소 16
32.7%
보건지소 8
16.3%
보건소 1
 
2.0%
죽장 1
 
2.0%
양정 1
 
2.0%
계림 1
 
2.0%
대각 1
 
2.0%
용두 1
 
2.0%
덕산 1
 
2.0%
금곡 1
 
2.0%
Other values (17) 17
34.7%
2023-12-12T19:43:15.766856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
보 26
13.9%
소 25
13.4%
건 25
13.4%
24
12.8%
료 16
8.6%
진 16
8.6%
지 8
 
4.3%
산 4
 
2.1%
정 4
 
2.1%
월 2
 
1.1%
Other values (33) 37
19.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 163
87.2%
Space Separator 24
 
12.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
보 26
16.0%
소 25
15.3%
건 25
15.3%
료 16
9.8%
진 16
9.8%
지 8
 
4.9%
산 4
 
2.5%
정 4
 
2.5%
월 2
 
1.2%
대 2
 
1.2%
Other values (32) 35
21.5%
Space Separator
ValueCountFrequency (%)
24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 163
87.2%
Common 24
 
12.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
보 26
16.0%
소 25
15.3%
건 25
15.3%
료 16
9.8%
진 16
9.8%
지 8
 
4.9%
산 4
 
2.5%
정 4
 
2.5%
월 2
 
1.2%
대 2
 
1.2%
Other values (32) 35
21.5%
Common
ValueCountFrequency (%)
24
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 163
87.2%
ASCII 24
 
12.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
보 26
16.0%
소 25
15.3%
건 25
15.3%
료 16
9.8%
진 16
9.8%
지 8
 
4.9%
산 4
 
2.5%
정 4
 
2.5%
월 2
 
1.2%
대 2
 
1.2%
Other values (32) 35
21.5%
ASCII
ValueCountFrequency (%)
24
100.0%

주소
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T19:43:16.064188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length20.64
Min length18

Characters and Unicode

Total characters516
Distinct characters71
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row전라남도 함평군 함평읍 중앙길 54-8
2nd row전라남도 함평군 손불면 손불중앙길 45
3rd row전라남도 함평군 신광면 신광중앙길 84
4th row전라남도 함평군 학교면 함영로 472
5th row전라남도 함평군 엄다면 엄다길 55
ValueCountFrequency (%)
전라남도 25
20.0%
함평군 25
20.0%
손불면 4
 
3.2%
월야면 4
 
3.2%
학교면 3
 
2.4%
대동면 3
 
2.4%
함평읍 3
 
2.4%
나산면 2
 
1.6%
신광면 2
 
1.6%
엄다면 2
 
1.6%
Other values (51) 52
41.6%
2023-12-12T19:43:16.533425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
100
19.4%
함 30
 
5.8%
평 28
 
5.4%
군 26
 
5.0%
전 25
 
4.8%
남 25
 
4.8%
도 25
 
4.8%
라 25
 
4.8%
면 22
 
4.3%
길 15
 
2.9%
Other values (61) 195
37.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 338
65.5%
Space Separator 100
 
19.4%
Decimal Number 72
 
14.0%
Dash Punctuation 6
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
함 30
 
8.9%
평 28
 
8.3%
군 26
 
7.7%
전 25
 
7.4%
남 25
 
7.4%
도 25
 
7.4%
라 25
 
7.4%
면 22
 
6.5%
길 15
 
4.4%
로 10
 
3.0%
Other values (49) 107
31.7%
Decimal Number
ValueCountFrequency (%)
1 14
19.4%
5 11
15.3%
4 10
13.9%
6 8
11.1%
8 8
11.1%
7 7
9.7%
3 5
 
6.9%
0 5
 
6.9%
2 3
 
4.2%
9 1
 
1.4%
Space Separator
ValueCountFrequency (%)
100
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 338
65.5%
Common 178
34.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
함 30
 
8.9%
평 28
 
8.3%
군 26
 
7.7%
전 25
 
7.4%
남 25
 
7.4%
도 25
 
7.4%
라 25
 
7.4%
면 22
 
6.5%
길 15
 
4.4%
로 10
 
3.0%
Other values (49) 107
31.7%
Common
ValueCountFrequency (%)
100
56.2%
1 14
 
7.9%
5 11
 
6.2%
4 10
 
5.6%
6 8
 
4.5%
8 8
 
4.5%
7 7
 
3.9%
- 6
 
3.4%
3 5
 
2.8%
0 5
 
2.8%
Other values (2) 4
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 338
65.5%
ASCII 178
34.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
100
56.2%
1 14
 
7.9%
5 11
 
6.2%
4 10
 
5.6%
6 8
 
4.5%
8 8
 
4.5%
7 7
 
3.9%
- 6
 
3.4%
3 5
 
2.8%
0 5
 
2.8%
Other values (2) 4
 
2.2%
Hangul
ValueCountFrequency (%)
함 30
 
8.9%
평 28
 
8.3%
군 26
 
7.7%
전 25
 
7.4%
남 25
 
7.4%
도 25
 
7.4%
라 25
 
7.4%
면 22
 
6.5%
길 15
 
4.4%
로 10
 
3.0%
Other values (49) 107
31.7%

연락처
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T19:43:16.792959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters300
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

Unique25 ?
Unique (%)100.0%

Sample

1st row061-320-2409
2nd row061-320-2350
3rd row061-320-2355
4th row061-320-2360
5th row061-320-2365
ValueCountFrequency (%)
061-320-2409 1
 
4.0%
061-320-2945 1
 
4.0%
061-320-2955 1
 
4.0%
061-320-2954 1
 
4.0%
061-320-2953 1
 
4.0%
061-320-2952 1
 
4.0%
061-320-2951 1
 
4.0%
061-320-2950 1
 
4.0%
061-320-2949 1
 
4.0%
061-320-2948 1
 
4.0%
Other values (15) 15
60.0%
2023-12-12T19:43:17.254970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 55
18.3%
2 52
17.3%
- 50
16.7%
3 35
11.7%
6 29
9.7%
1 28
9.3%
9 18
 
6.0%
5 15
 
5.0%
4 12
 
4.0%
7 3
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 250
83.3%
Dash Punctuation 50
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 55
22.0%
2 52
20.8%
3 35
14.0%
6 29
11.6%
1 28
11.2%
9 18
 
7.2%
5 15
 
6.0%
4 12
 
4.8%
7 3
 
1.2%
8 3
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 300
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 55
18.3%
2 52
17.3%
- 50
16.7%
3 35
11.7%
6 29
9.7%
1 28
9.3%
9 18
 
6.0%
5 15
 
5.0%
4 12
 
4.0%
7 3
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 300
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 55
18.3%
2 52
17.3%
- 50
16.7%
3 35
11.7%
6 29
9.7%
1 28
9.3%
9 18
 
6.0%
5 15
 
5.0%
4 12
 
4.0%
7 3
 
1.0%

Interactions

2023-12-12T19:43:14.547709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:43:17.404140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번보건기관주소연락처
연번1.0001.0001.0001.000
보건기관1.0001.0001.0001.000
주소1.0001.0001.0001.000
연락처1.0001.0001.0001.000

Missing values

2023-12-12T19:43:14.720327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:43:14.842553image/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

연번보건기관주소연락처
01보건소전라남도 함평군 함평읍 중앙길 54-8061-320-2409
12손불 보건지소전라남도 함평군 손불면 손불중앙길 45061-320-2350
23신광 보건지소전라남도 함평군 신광면 신광중앙길 84061-320-2355
34학교 보건지소전라남도 함평군 학교면 함영로 472061-320-2360
45엄다 보건지소전라남도 함평군 엄다면 엄다길 55061-320-2365
56대동 보건지소전라남도 함평군 대동면 대동길 5-10061-320-2371
67나산 보건지소전라남도 함평군 나산면 나산길 118061-320-2375
78해보 보건지소전라남도 함평군 해보면 유정길 8-11061-320-2380
89월야 보건지소전라남도 함평군 월야면 밀재로 1476061-320-2385
910삼정 보건진료소전라남도 함평군 함평읍 함장로 675-13061-320-2941
연번보건기관주소연락처
1516금송 보건진료소전라남도 함평군 학교면 중천포로 457061-320-2947
1617복천 보건진료소전라남도 함평군 학교면 고막천로 817061-320-2948
1718영흥 보건진료소전라남도 함평군 엄다면 영흥길 78-19061-320-2949
1819금곡 보건진료소전라남도 함평군 대동면 옥동길 43061-320-2950
1920덕산 보건진료소전라남도 함평군 대동면 외덕길 3061-320-2951
2021용두 보건진료소전라남도 함평군 나산면 회화정길 17061-320-2952
2122대각 보건진료소전라남도 함평군 해보면 올림픽로 1018061-320-2953
2223계림 보건진료소전라남도 함평군 월야면 금치죽림길 4-6061-320-2954
2324양정 보건진료소전라남도 함평군 월야면 갈동길 25061-320-2955
2425정산 보건진료소전라남도 함평군 월야면 해삼로 602061-320-2956