Overview

Dataset statistics

Number of variables6
Number of observations28
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory53.6 B

Variable types

Numeric1
Text3
Categorical2

Dataset

Description서구 관내 노인요양시설에 대한 데이터로 노인요양시설(요양원)과 양로시설의 시설명과 소재지와 전화번호를 안내합니다.
Author대전광역시 서구
URLhttps://www.data.go.kr/data/15053862/fileData.do

Alerts

비고 has constant value ""Constant
시설유형 is highly imbalanced (77.8%)Imbalance
연번 has unique valuesUnique
상호 has unique valuesUnique
연락처 has unique valuesUnique

Reproduction

Analysis started2024-03-14 15:56:36.887330
Analysis finished2024-03-14 15:56:38.003749
Duration1.12 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.5
Minimum1
Maximum28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size380.0 B
2024-03-15T00:56:38.136262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.35
Q17.75
median14.5
Q321.25
95-th percentile26.65
Maximum28
Range27
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation8.2259751
Coefficient of variation (CV)0.56730863
Kurtosis-1.2
Mean14.5
Median Absolute Deviation (MAD)7
Skewness0
Sum406
Variance67.666667
MonotonicityStrictly increasing
2024-03-15T00:56:38.358065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
1 1
 
3.6%
16 1
 
3.6%
28 1
 
3.6%
27 1
 
3.6%
26 1
 
3.6%
25 1
 
3.6%
24 1
 
3.6%
23 1
 
3.6%
22 1
 
3.6%
21 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
1 1
3.6%
2 1
3.6%
3 1
3.6%
4 1
3.6%
5 1
3.6%
6 1
3.6%
7 1
3.6%
8 1
3.6%
9 1
3.6%
10 1
3.6%
ValueCountFrequency (%)
28 1
3.6%
27 1
3.6%
26 1
3.6%
25 1
3.6%
24 1
3.6%
23 1
3.6%
22 1
3.6%
21 1
3.6%
20 1
3.6%
19 1
3.6%

상호
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size352.0 B
2024-03-15T00:56:39.108621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length6.6428571
Min length4

Characters and Unicode

Total characters186
Distinct characters82
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)100.0%

Sample

1st row성애노인요양원
2nd row노인전문요양원 해피존
3rd row자혜은빛마을
4th row믿음의 집
5th row봄빛노인요양원
ValueCountFrequency (%)
성애노인요양원 1
 
3.2%
대전요양원 1
 
3.2%
골든메디컬케어 1
 
3.2%
정림미소요양원 1
 
3.2%
엠마오양로원 1
 
3.2%
양녕요양원 1
 
3.2%
율요양원 1
 
3.2%
청남요양원 1
 
3.2%
한아름실버케어센터 1
 
3.2%
성심요양원 1
 
3.2%
Other values (21) 21
67.7%
2024-03-15T00:56:40.353003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
양 20
 
10.8%
원 19
 
10.2%
요 18
 
9.7%
인 9
 
4.8%
노 7
 
3.8%
마 4
 
2.2%
버 4
 
2.2%
실 4
 
2.2%
혜 3
 
1.6%
아 3
 
1.6%
Other values (72) 95
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 182
97.8%
Space Separator 3
 
1.6%
Letter Number 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 20
 
11.0%
원 19
 
10.4%
요 18
 
9.9%
인 9
 
4.9%
노 7
 
3.8%
마 4
 
2.2%
버 4
 
2.2%
실 4
 
2.2%
혜 3
 
1.6%
아 3
 
1.6%
Other values (70) 91
50.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 182
97.8%
Common 3
 
1.6%
Latin 1
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 20
 
11.0%
원 19
 
10.4%
요 18
 
9.9%
인 9
 
4.9%
노 7
 
3.8%
마 4
 
2.2%
버 4
 
2.2%
실 4
 
2.2%
혜 3
 
1.6%
아 3
 
1.6%
Other values (70) 91
50.0%
Common
ValueCountFrequency (%)
3
100.0%
Latin
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 182
97.8%
ASCII 3
 
1.6%
Number Forms 1
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
양 20
 
11.0%
원 19
 
10.4%
요 18
 
9.9%
인 9
 
4.9%
노 7
 
3.8%
마 4
 
2.2%
버 4
 
2.2%
실 4
 
2.2%
혜 3
 
1.6%
아 3
 
1.6%
Other values (70) 91
50.0%
ASCII
ValueCountFrequency (%)
3
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

주소
Text

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size352.0 B
2024-03-15T00:56:41.357342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length27.5
Mean length23.5
Min length21

Characters and Unicode

Total characters658
Distinct characters64
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

Unique26 ?
Unique (%)92.9%

Sample

1st row대전광역시 서구 구봉산북로94번길 130 (관저동)
2nd row대전광역시 서구 정각길 96 번지 4 호
3rd row대전광역시 서구 장전길 51-27 (오동)
4th row대전광역시 서구 장안로 406 (장안동)
5th row대전광역시 서구 계백로 1284 (정림동)
ValueCountFrequency (%)
대전광역시 28
19.9%
서구 28
19.9%
흑석동 4
 
2.8%
금평6길 3
 
2.1%
월평동 3
 
2.1%
복수동 3
 
2.1%
계백로 2
 
1.4%
유등로 2
 
1.4%
계룡로 2
 
1.4%
관저동 2
 
1.4%
Other values (56) 64
45.4%
2024-03-15T00:56:42.608003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
113
 
17.2%
동 31
 
4.7%
대 30
 
4.6%
구 29
 
4.4%
서 29
 
4.4%
전 29
 
4.4%
시 28
 
4.3%
역 28
 
4.3%
광 28
 
4.3%
( 27
 
4.1%
Other values (54) 286
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 386
58.7%
Space Separator 113
 
17.2%
Decimal Number 98
 
14.9%
Open Punctuation 27
 
4.1%
Close Punctuation 27
 
4.1%
Other Punctuation 4
 
0.6%
Dash Punctuation 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 31
 
8.0%
대 30
 
7.8%
구 29
 
7.5%
서 29
 
7.5%
전 29
 
7.5%
시 28
 
7.3%
역 28
 
7.3%
광 28
 
7.3%
로 20
 
5.2%
길 14
 
3.6%
Other values (39) 120
31.1%
Decimal Number
ValueCountFrequency (%)
1 20
20.4%
6 13
13.3%
8 13
13.3%
5 10
10.2%
2 10
10.2%
0 9
9.2%
4 8
 
8.2%
7 6
 
6.1%
3 5
 
5.1%
9 4
 
4.1%
Space Separator
ValueCountFrequency (%)
113
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 386
58.7%
Common 272
41.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 31
 
8.0%
대 30
 
7.8%
구 29
 
7.5%
서 29
 
7.5%
전 29
 
7.5%
시 28
 
7.3%
역 28
 
7.3%
광 28
 
7.3%
로 20
 
5.2%
길 14
 
3.6%
Other values (39) 120
31.1%
Common
ValueCountFrequency (%)
113
41.5%
( 27
 
9.9%
) 27
 
9.9%
1 20
 
7.4%
6 13
 
4.8%
8 13
 
4.8%
5 10
 
3.7%
2 10
 
3.7%
0 9
 
3.3%
4 8
 
2.9%
Other values (5) 22
 
8.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 386
58.7%
ASCII 272
41.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
113
41.5%
( 27
 
9.9%
) 27
 
9.9%
1 20
 
7.4%
6 13
 
4.8%
8 13
 
4.8%
5 10
 
3.7%
2 10
 
3.7%
0 9
 
3.3%
4 8
 
2.9%
Other values (5) 22
 
8.1%
Hangul
ValueCountFrequency (%)
동 31
 
8.0%
대 30
 
7.8%
구 29
 
7.5%
서 29
 
7.5%
전 29
 
7.5%
시 28
 
7.3%
역 28
 
7.3%
광 28
 
7.3%
로 20
 
5.2%
길 14
 
3.6%
Other values (39) 120
31.1%

시설유형
Categorical

IMBALANCE 

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size352.0 B
노인요양시설
27 
양로시설
 
1

Length

Max length6
Median length6
Mean length5.9285714
Min length4

Unique

Unique1 ?
Unique (%)3.6%

Sample

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

Common Values

ValueCountFrequency (%)
노인요양시설 27
96.4%
양로시설 1
 
3.6%

Length

2024-03-15T00:56:42.940472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T00:56:43.145427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노인요양시설 27
96.4%
양로시설 1
 
3.6%

연락처
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size352.0 B
2024-03-15T00:56:43.834176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters336
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

Unique28 ?
Unique (%)100.0%

Sample

1st row042-545-9877
2nd row042-586-5185
3rd row042-586-8883
4th row042-586-1774
5th row042-584-0851
ValueCountFrequency (%)
042-545-9877 1
 
3.6%
042-586-5185 1
 
3.6%
042-521-1616 1
 
3.6%
042-542-5485 1
 
3.6%
042-586-2252 1
 
3.6%
042-521-1110 1
 
3.6%
042-526-1919 1
 
3.6%
042-489-3344 1
 
3.6%
042-536-7575 1
 
3.6%
042-581-2248 1
 
3.6%
Other values (18) 18
64.3%
2024-03-15T00:56:45.146562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 56
16.7%
4 48
14.3%
2 44
13.1%
5 41
12.2%
0 39
11.6%
8 29
8.6%
1 21
 
6.2%
6 20
 
6.0%
7 16
 
4.8%
3 13
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 280
83.3%
Dash Punctuation 56
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 48
17.1%
2 44
15.7%
5 41
14.6%
0 39
13.9%
8 29
10.4%
1 21
7.5%
6 20
7.1%
7 16
 
5.7%
3 13
 
4.6%
9 9
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 56
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 336
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 56
16.7%
4 48
14.3%
2 44
13.1%
5 41
12.2%
0 39
11.6%
8 29
8.6%
1 21
 
6.2%
6 20
 
6.0%
7 16
 
4.8%
3 13
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 336
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 56
16.7%
4 48
14.3%
2 44
13.1%
5 41
12.2%
0 39
11.6%
8 29
8.6%
1 21
 
6.2%
6 20
 
6.0%
7 16
 
4.8%
3 13
 
3.9%

비고
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size352.0 B
노인
28 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
노인 28
100.0%

Length

2024-03-15T00:56:45.562711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T00:56:45.866561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노인 28
100.0%

Interactions

2024-03-15T00:56:37.186166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T00:56:45.974927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번상호주소시설유형연락처
연번1.0001.0000.9320.0001.000
상호1.0001.0001.0001.0001.000
주소0.9321.0001.0000.0001.000
시설유형0.0001.0000.0001.0001.000
연락처1.0001.0001.0001.0001.000
2024-03-15T00:56:46.136722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설유형
연번1.0000.000
시설유형0.0001.000

Missing values

2024-03-15T00:56:37.506412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T00:56:37.850072image/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

연번상호주소시설유형연락처비고
01성애노인요양원대전광역시 서구 구봉산북로94번길 130 (관저동)노인요양시설042-545-9877노인
12노인전문요양원 해피존대전광역시 서구 정각길 96 번지 4 호노인요양시설042-586-5185노인
23자혜은빛마을대전광역시 서구 장전길 51-27 (오동)노인요양시설042-586-8883노인
34믿음의 집대전광역시 서구 장안로 406 (장안동)노인요양시설042-586-1774노인
45봄빛노인요양원대전광역시 서구 계백로 1284 (정림동)노인요양시설042-584-0851노인
56유앤아이너싱홈대전광역시 서구 복수동로 100-11 (복수동)노인요양시설042-581-6400노인
67인제노인요양원대전광역시 서구 계백로 1264 (정림동)노인요양시설042-585-2081노인
78엠마오 노인종합센터대전광역시 서구 금평6길 18 (흑석동)노인요양시설042-583-6688노인
89플래티늄서부노인요양원대전광역시 서구 도산로 51 (도마동,6층)노인요양시설042-716-2000노인
910관저요양원대전광역시 서구 관저동로105번길 8 (관저동)노인요양시설042-541-4155노인
연번상호주소시설유형연락처비고
1819사랑샘실버타운대전광역시 서구 금평6길 10 (흑석동)노인요양시설042-585-7993노인
1920성심요양원대전광역시 서구 계룡로 198 (월평동)노인요양시설042-581-2248노인
2021한아름실버케어센터대전광역시 서구 계룡로 688 (용문동)노인요양시설042-536-7575노인
2122청남요양원대전광역시 서구 청사로 120, 6층 (월평동)노인요양시설042-489-3344노인
2223율요양원대전광역시 서구 도산로 158 (변동)노인요양시설042-526-1919노인
2324양녕요양원대전광역시 서구 갈마로 88 (갈마동)노인요양시설042-521-1110노인
2425엠마오양로원대전광역시 서구 금평6길 18 (흑석동)양로시설042-586-2252노인
2526정림미소요양원대전광역시 서구 정림로24번길 83(정림동)노인요양시설042-542-5485노인
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