Overview

Dataset statistics

Number of variables7
Number of observations40
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory60.3 B

Variable types

Numeric1
Categorical2
Text4

Dataset

Description홍성군내 노인복지 시설 현황으로 시군명, 단체시설명, 소재지도로명주소, 대표자, 전화번호, 데이터 기준일등을 제공합니다.
Author충청남도 홍성군
URLhttps://www.data.go.kr/data/3073580/fileData.do

Alerts

시군명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
단체시설명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:35:13.085398
Analysis finished2023-12-12 09:35:13.988900
Duration0.9 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.5
Minimum1
Maximum40
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-12T18:35:14.114707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.95
Q110.75
median20.5
Q330.25
95-th percentile38.05
Maximum40
Range39
Interquartile range (IQR)19.5

Descriptive statistics

Standard deviation11.690452
Coefficient of variation (CV)0.57026595
Kurtosis-1.2
Mean20.5
Median Absolute Deviation (MAD)10
Skewness0
Sum820
Variance136.66667
MonotonicityStrictly increasing
2023-12-12T18:35:14.679850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
1 1
 
2.5%
22 1
 
2.5%
24 1
 
2.5%
25 1
 
2.5%
26 1
 
2.5%
27 1
 
2.5%
28 1
 
2.5%
29 1
 
2.5%
30 1
 
2.5%
31 1
 
2.5%
Other values (30) 30
75.0%
ValueCountFrequency (%)
1 1
2.5%
2 1
2.5%
3 1
2.5%
4 1
2.5%
5 1
2.5%
6 1
2.5%
7 1
2.5%
8 1
2.5%
9 1
2.5%
10 1
2.5%
ValueCountFrequency (%)
40 1
2.5%
39 1
2.5%
38 1
2.5%
37 1
2.5%
36 1
2.5%
35 1
2.5%
34 1
2.5%
33 1
2.5%
32 1
2.5%
31 1
2.5%

시군명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
홍성군
40 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row홍성군
2nd row홍성군
3rd row홍성군
4th row홍성군
5th row홍성군

Common Values

ValueCountFrequency (%)
홍성군 40
100.0%

Length

2023-12-12T18:35:14.915628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:35:15.042522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
홍성군 40
100.0%

단체시설명
Text

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-12T18:35:15.293349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length8.675
Min length4

Characters and Unicode

Total characters347
Distinct characters94
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

Unique40 ?
Unique (%)100.0%

Sample

1st row대한노인회 홍성군지회
2nd row홍성군노인종합복지관
3rd row에덴광천요양원
4th row혜경요양원
5th row굿모닝요양원
ValueCountFrequency (%)
대한노인회 1
 
2.3%
사랑재가복지센터 1
 
2.3%
행복의료기 1
 
2.3%
복지용구 1
 
2.3%
은빛주간보호센터 1
 
2.3%
가나안주간보호센터 1
 
2.3%
소망재가노인복지센터 1
 
2.3%
청로노인종합복지센터 1
 
2.3%
브라보광천주간보호센터 1
 
2.3%
주)홍성돌봄요양센터 1
 
2.3%
Other values (33) 33
76.7%
2023-12-12T18:35:15.803745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
센 23
 
6.6%
터 23
 
6.6%
지 18
 
5.2%
가 16
 
4.6%
양 16
 
4.6%
복 16
 
4.6%
요 15
 
4.3%
재 14
 
4.0%
인 13
 
3.7%
원 13
 
3.7%
Other values (84) 180
51.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 342
98.6%
Space Separator 3
 
0.9%
Close Punctuation 1
 
0.3%
Open Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
센 23
 
6.7%
터 23
 
6.7%
지 18
 
5.3%
가 16
 
4.7%
양 16
 
4.7%
복 16
 
4.7%
요 15
 
4.4%
재 14
 
4.1%
인 13
 
3.8%
원 13
 
3.8%
Other values (81) 175
51.2%
Space Separator
ValueCountFrequency (%)
3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 342
98.6%
Common 5
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
센 23
 
6.7%
터 23
 
6.7%
지 18
 
5.3%
가 16
 
4.7%
양 16
 
4.7%
복 16
 
4.7%
요 15
 
4.4%
재 14
 
4.1%
인 13
 
3.8%
원 13
 
3.8%
Other values (81) 175
51.2%
Common
ValueCountFrequency (%)
3
60.0%
) 1
 
20.0%
( 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 342
98.6%
ASCII 5
 
1.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
센 23
 
6.7%
터 23
 
6.7%
지 18
 
5.3%
가 16
 
4.7%
양 16
 
4.7%
복 16
 
4.7%
요 15
 
4.4%
재 14
 
4.1%
인 13
 
3.8%
원 13
 
3.8%
Other values (81) 175
51.2%
ASCII
ValueCountFrequency (%)
3
60.0%
) 1
 
20.0%
( 1
 
20.0%

소재지도로명주소
Text

Distinct36
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-12T18:35:16.130851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length28
Mean length25.125
Min length19

Characters and Unicode

Total characters1005
Distinct characters62
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

Unique33 ?
Unique (%)82.5%

Sample

1st row충청남도 홍성군 홍성읍 홍성천길 120-27
2nd row충청남도 홍성군 홍성읍 내포로 146번길 30-11
3rd row충청남도 홍성군 광천읍 홍남동로64번길 176-48
4th row충청남도 홍성군 갈산면 상촌로9번길 18-9
5th row충청남도 홍성군 홍성읍 충서로 1341
ValueCountFrequency (%)
충청남도 41
19.2%
홍성군 41
19.2%
홍성읍 20
 
9.3%
광천읍 7
 
3.3%
갈산면 4
 
1.9%
내포로 4
 
1.9%
은하면 3
 
1.4%
1718-36 3
 
1.4%
2층 3
 
1.4%
구항면 2
 
0.9%
Other values (74) 86
40.2%
2023-12-12T18:35:16.703102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
175
17.4%
홍 71
 
7.1%
성 66
 
6.6%
남 50
 
5.0%
1 47
 
4.7%
충 45
 
4.5%
청 44
 
4.4%
도 44
 
4.4%
군 41
 
4.1%
로 36
 
3.6%
Other values (52) 386
38.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 596
59.3%
Decimal Number 204
 
20.3%
Space Separator 175
 
17.4%
Dash Punctuation 22
 
2.2%
Other Punctuation 6
 
0.6%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
홍 71
11.9%
성 66
11.1%
남 50
 
8.4%
충 45
 
7.6%
청 44
 
7.4%
도 44
 
7.4%
군 41
 
6.9%
로 36
 
6.0%
읍 29
 
4.9%
길 25
 
4.2%
Other values (37) 145
24.3%
Decimal Number
ValueCountFrequency (%)
1 47
23.0%
3 26
12.7%
6 24
11.8%
2 21
10.3%
0 17
 
8.3%
4 16
 
7.8%
7 16
 
7.8%
8 14
 
6.9%
5 12
 
5.9%
9 11
 
5.4%
Space Separator
ValueCountFrequency (%)
175
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 596
59.3%
Common 409
40.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
홍 71
11.9%
성 66
11.1%
남 50
 
8.4%
충 45
 
7.6%
청 44
 
7.4%
도 44
 
7.4%
군 41
 
6.9%
로 36
 
6.0%
읍 29
 
4.9%
길 25
 
4.2%
Other values (37) 145
24.3%
Common
ValueCountFrequency (%)
175
42.8%
1 47
 
11.5%
3 26
 
6.4%
6 24
 
5.9%
- 22
 
5.4%
2 21
 
5.1%
0 17
 
4.2%
4 16
 
3.9%
7 16
 
3.9%
8 14
 
3.4%
Other values (5) 31
 
7.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 596
59.3%
ASCII 409
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
175
42.8%
1 47
 
11.5%
3 26
 
6.4%
6 24
 
5.9%
- 22
 
5.4%
2 21
 
5.1%
0 17
 
4.2%
4 16
 
3.9%
7 16
 
3.9%
8 14
 
3.4%
Other values (5) 31
 
7.6%
Hangul
ValueCountFrequency (%)
홍 71
11.9%
성 66
11.1%
남 50
 
8.4%
충 45
 
7.6%
청 44
 
7.4%
도 44
 
7.4%
군 41
 
6.9%
로 36
 
6.0%
읍 29
 
4.9%
길 25
 
4.2%
Other values (37) 145
24.3%

대표자(시설장)
Text

Distinct36
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-12T18:35:16.960103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.1
Min length2

Characters and Unicode

Total characters124
Distinct characters65
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)82.5%

Sample

1st row조화원
2nd row이동명(한재선)
3rd row한명희
4th row박혜경
5th row송대일
ValueCountFrequency (%)
김세중 3
 
7.5%
박승희 2
 
5.0%
이철이 2
 
5.0%
조화원 1
 
2.5%
이석주 1
 
2.5%
안형숙 1
 
2.5%
박제순 1
 
2.5%
김주형 1
 
2.5%
김기화 1
 
2.5%
유금재 1
 
2.5%
Other values (26) 26
65.0%
2023-12-12T18:35:17.397890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 10
 
8.1%
이 9
 
7.3%
희 6
 
4.8%
박 5
 
4.0%
정 4
 
3.2%
중 3
 
2.4%
세 3
 
2.4%
주 3
 
2.4%
영 2
 
1.6%
용 2
 
1.6%
Other values (55) 77
62.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 122
98.4%
Open Punctuation 1
 
0.8%
Close Punctuation 1
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 10
 
8.2%
이 9
 
7.4%
희 6
 
4.9%
박 5
 
4.1%
정 4
 
3.3%
중 3
 
2.5%
세 3
 
2.5%
주 3
 
2.5%
영 2
 
1.6%
용 2
 
1.6%
Other values (53) 75
61.5%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 122
98.4%
Common 2
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 10
 
8.2%
이 9
 
7.4%
희 6
 
4.9%
박 5
 
4.1%
정 4
 
3.3%
중 3
 
2.5%
세 3
 
2.5%
주 3
 
2.5%
영 2
 
1.6%
용 2
 
1.6%
Other values (53) 75
61.5%
Common
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 122
98.4%
ASCII 2
 
1.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 10
 
8.2%
이 9
 
7.4%
희 6
 
4.9%
박 5
 
4.1%
정 4
 
3.3%
중 3
 
2.5%
세 3
 
2.5%
주 3
 
2.5%
영 2
 
1.6%
용 2
 
1.6%
Other values (53) 75
61.5%
ASCII
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%

전화번호
Text

Distinct37
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-12T18:35:17.680985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters480
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

Unique35 ?
Unique (%)87.5%

Sample

1st row041-634-0103
2nd row041-631-0960
3rd row041-641-5557
4th row041-631-9637
5th row041-631-8988
ValueCountFrequency (%)
041-631-9631 3
 
7.5%
041-633-9997 2
 
5.0%
041-632-3161 1
 
2.5%
041-631-3959 1
 
2.5%
041-632-8809 1
 
2.5%
041-632-5586 1
 
2.5%
041-634-0103 1
 
2.5%
041-633-0893 1
 
2.5%
041-631-1806 1
 
2.5%
041-632-0803 1
 
2.5%
Other values (27) 27
67.5%
2023-12-12T18:35:18.154055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 80
16.7%
1 71
14.8%
0 70
14.6%
4 63
13.1%
3 58
12.1%
6 55
11.5%
9 24
 
5.0%
7 17
 
3.5%
2 16
 
3.3%
8 15
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 400
83.3%
Dash Punctuation 80
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 71
17.8%
0 70
17.5%
4 63
15.8%
3 58
14.5%
6 55
13.8%
9 24
 
6.0%
7 17
 
4.2%
2 16
 
4.0%
8 15
 
3.8%
5 11
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 80
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 480
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 80
16.7%
1 71
14.8%
0 70
14.6%
4 63
13.1%
3 58
12.1%
6 55
11.5%
9 24
 
5.0%
7 17
 
3.5%
2 16
 
3.3%
8 15
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 480
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 80
16.7%
1 71
14.8%
0 70
14.6%
4 63
13.1%
3 58
12.1%
6 55
11.5%
9 24
 
5.0%
7 17
 
3.5%
2 16
 
3.3%
8 15
 
3.1%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-09-27
40 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-09-27
2nd row2023-09-27
3rd row2023-09-27
4th row2023-09-27
5th row2023-09-27

Common Values

ValueCountFrequency (%)
2023-09-27 40
100.0%

Length

2023-12-12T18:35:18.353978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:35:18.486992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-09-27 40
100.0%

Interactions

2023-12-12T18:35:13.477060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T18:35:18.567590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번단체시설명소재지도로명주소대표자(시설장)전화번호
연번1.0001.0000.8550.8550.899
단체시설명1.0001.0001.0001.0001.000
소재지도로명주소0.8551.0001.0001.0001.000
대표자(시설장)0.8551.0001.0001.0001.000
전화번호0.8991.0001.0001.0001.000

Missing values

2023-12-12T18:35:13.714892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:35:13.897358image/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

연번시군명단체시설명소재지도로명주소대표자(시설장)전화번호데이터기준일자
01홍성군대한노인회 홍성군지회충청남도 홍성군 홍성읍 홍성천길 120-27조화원041-634-01032023-09-27
12홍성군홍성군노인종합복지관충청남도 홍성군 홍성읍 내포로 146번길 30-11이동명(한재선)041-631-09602023-09-27
23홍성군에덴광천요양원충청남도 홍성군 광천읍 홍남동로64번길 176-48한명희041-641-55572023-09-27
34홍성군혜경요양원충청남도 홍성군 갈산면 상촌로9번길 18-9박혜경041-631-96372023-09-27
45홍성군굿모닝요양원충청남도 홍성군 홍성읍 충서로 1341송대일041-631-89882023-09-27
56홍성군홍주요양원충청남도 홍성군 홍성읍 문화로28번길 31-13박승희041-633-99972023-09-27
67홍성군장수전문요양원충청남도 홍성군 은하면 구성남로 충청남도 홍성군 은하면 구성남로 381 (은하면)곽정욱041-642-94942023-09-27
78홍성군청로요양원충청남도 홍성군 홍성읍 구항길 337이철이041-631-13342023-09-27
89홍성군사랑의둥지요양원충청남도 홍성군 결성면 만해로 422최윤옥041-633-00042023-09-27
910홍성군홍성안심요양원충청남도 홍성군 홍성읍 문화로 97김상춘041-631-88982023-09-27
연번시군명단체시설명소재지도로명주소대표자(시설장)전화번호데이터기준일자
3031홍성군광천주간보호센터충청남도 홍성군 광천읍 홍남로620번길 24성용일041-642-06422023-09-27
3132홍성군올리브재가노인종합지원센터충청남도 홍성군 홍성읍 조양로75번길 17김정순041-632-09042023-09-27
3233홍성군힐링재가센터충청남도 홍성군 광천읍 홍남로 650-1곽다은041-641-64652023-09-27
3334홍성군양지재활주간보호센터충청남도 홍성군 홍북읍 홍북로 510김은주041-634-71772023-09-27
3435홍성군섬김재가복지센터충청남도 홍성군 구항면 충서로999번길 101-65최민규041-632-31612023-09-27
3536홍성군광천다온재가복지센터충청남도 홍성군 광천읍 홍남로 676, 2층 나호문정희041-641-07302023-09-27
3637홍성군실로암재가노인복지센터충청남도 홍성군 홍성읍 아문길 60함영미041-632-88092023-09-27
3738홍성군홍주재가복지센터충청남도 홍성군 홍성읍 문화로28번길 31-13박승희041-633-99972023-09-27
3839홍성군정성재가요양센터충청남도 홍성군 홍성읍 도청대로93번길 13-14김영희041-634-00202023-09-27
3940홍성군샬롬어메니티재가노인복지센터충청남도 홍성군 갈산면 내포로 1718-36김세중041-631-96312023-09-27