Overview

Dataset statistics

Number of variables4
Number of observations75
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.5 KiB
Average record size in memory34.8 B

Variable types

Text2
DateTime1
Numeric1

Dataset

Description부산광역시 서구 내 노인복지시설(등록경로당)의 시설명, 소재지, 입소정원의 정보를 제공합니다. 부산광역시 서구 내 등록경로당 수는 2022.7.18.기준으로 75개소입니다.
URLhttps://www.data.go.kr/data/15008060/fileData.do

Alerts

시설명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 17:08:52.075800
Analysis finished2023-12-12 17:08:52.831136
Duration0.76 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Text

UNIQUE 

Distinct75
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size732.0 B
2023-12-13T02:08:53.056082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length6.6666667
Min length5

Characters and Unicode

Total characters500
Distinct characters113
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique75 ?
Unique (%)100.0%

Sample

1st row제1부녀경로당
2nd row제1경로당
3rd row장수경로당
4th row동일경로당
5th row동대신역비스타동원경로당
ValueCountFrequency (%)
제1부녀경로당 1
 
1.3%
신창경로당 1
 
1.3%
동심부녀경로당 1
 
1.3%
천우경로당 1
 
1.3%
남일경로당 1
 
1.3%
남부경로당(하 1
 
1.3%
천마경로당 1
 
1.3%
산해경로당 1
 
1.3%
산해할머니경로당 1
 
1.3%
충무경로당 1
 
1.3%
Other values (66) 66
86.8%
2023-12-13T02:08:53.575884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
경 76
 
15.2%
로 75
 
15.0%
당 75
 
15.0%
부 16
 
3.2%
아 14
 
2.8%
대 11
 
2.2%
트 10
 
2.0%
파 9
 
1.8%
동 9
 
1.8%
신 8
 
1.6%
Other values (103) 197
39.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 485
97.0%
Decimal Number 7
 
1.4%
Open Punctuation 2
 
0.4%
Close Punctuation 2
 
0.4%
Other Punctuation 1
 
0.2%
Lowercase Letter 1
 
0.2%
Dash Punctuation 1
 
0.2%
Space Separator 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 76
15.7%
로 75
15.5%
당 75
15.5%
부 16
 
3.3%
아 14
 
2.9%
대 11
 
2.3%
트 10
 
2.1%
파 9
 
1.9%
동 9
 
1.9%
신 8
 
1.6%
Other values (94) 182
37.5%
Decimal Number
ValueCountFrequency (%)
2 3
42.9%
1 3
42.9%
8 1
 
14.3%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 485
97.0%
Common 14
 
2.8%
Latin 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 76
15.7%
로 75
15.5%
당 75
15.5%
부 16
 
3.3%
아 14
 
2.9%
대 11
 
2.3%
트 10
 
2.1%
파 9
 
1.9%
동 9
 
1.9%
신 8
 
1.6%
Other values (94) 182
37.5%
Common
ValueCountFrequency (%)
2 3
21.4%
1 3
21.4%
( 2
14.3%
) 2
14.3%
8 1
 
7.1%
. 1
 
7.1%
- 1
 
7.1%
1
 
7.1%
Latin
ValueCountFrequency (%)
e 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 485
97.0%
ASCII 15
 
3.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
경 76
15.7%
로 75
15.5%
당 75
15.5%
부 16
 
3.3%
아 14
 
2.9%
대 11
 
2.3%
트 10
 
2.1%
파 9
 
1.9%
동 9
 
1.9%
신 8
 
1.6%
Other values (94) 182
37.5%
ASCII
ValueCountFrequency (%)
2 3
20.0%
1 3
20.0%
( 2
13.3%
) 2
13.3%
8 1
 
6.7%
. 1
 
6.7%
e 1
 
6.7%
- 1
 
6.7%
1
 
6.7%

소재지주소
Text

Distinct68
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
2023-12-13T02:08:53.819815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length35
Mean length28.586667
Min length22

Characters and Unicode

Total characters2144
Distinct characters110
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

Unique61 ?
Unique (%)81.3%

Sample

1st row부산광역시 서구 구덕로274번길 56 (동대신동1가)
2nd row부산광역시 서구 구덕로274번길 56 (동대신동1가)
3rd row부산광역시 서구 망양로 224-3 (동대신동1가)
4th row부산광역시 서구 망양로 224-3 (동대신동1가)
5th row부산광역시 서구 감천로 보수대로154번길29(동대신동1가,동대신역비스타동원아파트)
ValueCountFrequency (%)
부산광역시 75
20.8%
서구 75
20.8%
남부민동 10
 
2.8%
서대신동3가 8
 
2.2%
해돋이로 6
 
1.7%
동대신동2가 5
 
1.4%
동대신동1가 4
 
1.1%
천마로 4
 
1.1%
충무대로 4
 
1.1%
꽃마을로 4
 
1.1%
Other values (131) 166
46.0%
2023-12-13T02:08:54.224748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
286
 
13.3%
부 94
 
4.4%
서 94
 
4.4%
동 94
 
4.4%
1 86
 
4.0%
구 82
 
3.8%
산 79
 
3.7%
역 76
 
3.5%
( 75
 
3.5%
광 75
 
3.5%
Other values (100) 1103
51.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1309
61.1%
Decimal Number 349
 
16.3%
Space Separator 286
 
13.3%
Open Punctuation 75
 
3.5%
Close Punctuation 75
 
3.5%
Dash Punctuation 26
 
1.2%
Other Punctuation 24
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 94
 
7.2%
서 94
 
7.2%
동 94
 
7.2%
구 82
 
6.3%
산 79
 
6.0%
역 76
 
5.8%
광 75
 
5.7%
시 75
 
5.7%
로 75
 
5.7%
대 57
 
4.4%
Other values (85) 508
38.8%
Decimal Number
ValueCountFrequency (%)
1 86
24.6%
3 68
19.5%
2 67
19.2%
5 25
 
7.2%
4 23
 
6.6%
6 18
 
5.2%
0 17
 
4.9%
7 16
 
4.6%
9 15
 
4.3%
8 14
 
4.0%
Space Separator
ValueCountFrequency (%)
286
100.0%
Open Punctuation
ValueCountFrequency (%)
( 75
100.0%
Close Punctuation
ValueCountFrequency (%)
) 75
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Other Punctuation
ValueCountFrequency (%)
, 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1309
61.1%
Common 835
38.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 94
 
7.2%
서 94
 
7.2%
동 94
 
7.2%
구 82
 
6.3%
산 79
 
6.0%
역 76
 
5.8%
광 75
 
5.7%
시 75
 
5.7%
로 75
 
5.7%
대 57
 
4.4%
Other values (85) 508
38.8%
Common
ValueCountFrequency (%)
286
34.3%
1 86
 
10.3%
( 75
 
9.0%
) 75
 
9.0%
3 68
 
8.1%
2 67
 
8.0%
- 26
 
3.1%
5 25
 
3.0%
, 24
 
2.9%
4 23
 
2.8%
Other values (5) 80
 
9.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1309
61.1%
ASCII 835
38.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
286
34.3%
1 86
 
10.3%
( 75
 
9.0%
) 75
 
9.0%
3 68
 
8.1%
2 67
 
8.0%
- 26
 
3.1%
5 25
 
3.0%
, 24
 
2.9%
4 23
 
2.8%
Other values (5) 80
 
9.6%
Hangul
ValueCountFrequency (%)
부 94
 
7.2%
서 94
 
7.2%
동 94
 
7.2%
구 82
 
6.3%
산 79
 
6.0%
역 76
 
5.8%
광 75
 
5.7%
시 75
 
5.7%
로 75
 
5.7%
대 57
 
4.4%
Other values (85) 508
38.8%

인허가일자
Date

Distinct64
Distinct (%)85.3%
Missing0
Missing (%)0.0%
Memory size732.0 B
Minimum1948-10-04 00:00:00
Maximum2022-06-24 00:00:00
2023-12-13T02:08:54.416857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:08:54.582188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

입소정원
Real number (ℝ)

Distinct15
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.48
Minimum20
Maximum39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2023-12-13T02:08:54.723401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile20
Q121
median23
Q328
95-th percentile32.6
Maximum39
Range19
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.3939762
Coefficient of variation (CV)0.17949249
Kurtosis0.48987787
Mean24.48
Median Absolute Deviation (MAD)3
Skewness1.0209471
Sum1836
Variance19.307027
MonotonicityNot monotonic
2023-12-13T02:08:54.858242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
20 16
21.3%
22 10
13.3%
23 10
13.3%
21 7
9.3%
28 6
 
8.0%
29 5
 
6.7%
34 3
 
4.0%
25 3
 
4.0%
26 3
 
4.0%
24 3
 
4.0%
Other values (5) 9
12.0%
ValueCountFrequency (%)
20 16
21.3%
21 7
9.3%
22 10
13.3%
23 10
13.3%
24 3
 
4.0%
25 3
 
4.0%
26 3
 
4.0%
27 2
 
2.7%
28 6
 
8.0%
29 5
 
6.7%
ValueCountFrequency (%)
39 1
 
1.3%
34 3
4.0%
32 2
 
2.7%
31 2
 
2.7%
30 2
 
2.7%
29 5
6.7%
28 6
8.0%
27 2
 
2.7%
26 3
4.0%
25 3
4.0%

Interactions

2023-12-13T02:08:52.535633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T02:08:54.964508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설명소재지주소인허가일자입소정원
시설명1.0001.0001.0001.000
소재지주소1.0001.0000.9980.943
인허가일자1.0000.9981.0000.930
입소정원1.0000.9430.9301.000

Missing values

2023-12-13T02:08:52.690728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:08:52.792137image/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

시설명소재지주소인허가일자입소정원
0제1부녀경로당부산광역시 서구 구덕로274번길 56 (동대신동1가)1987-02-2520
1제1경로당부산광역시 서구 구덕로274번길 56 (동대신동1가)1987-02-2521
2장수경로당부산광역시 서구 망양로 224-3 (동대신동1가)1997-10-0420
3동일경로당부산광역시 서구 망양로 224-3 (동대신동1가)2000-08-1820
4동대신역비스타동원경로당부산광역시 서구 감천로 보수대로154번길29(동대신동1가,동대신역비스타동원아파트)2022-06-2428
5북산경로당부산광역시 서구 중앙공원로 23-1 (동대신동2가)1968-10-0439
6초현경로당부산광역시 서구 망양로174번길 8 (동대신동2가)1970-10-0422
7동산경로당부산광역시 서구 망양로195번길 18 (동대신동2가)1980-10-0422
8무궁화경로당부산광역시 서구 먕양로 202-9(동대신동2가)2004-09-2320
9동대2부녀경로당부산광역시 서구 보수대로210번길 2 (동대신동2가), 2층1987-01-0921
시설명소재지주소인허가일자입소정원
65송암노모경로당부산광역시 서구 충무대로 38 (암남동)1985-06-0734
66천암경로당부산광역시 서구 천해로39번길 3-1(암남동)1990-04-2520
67청송경로당부산광역시 서구 천해로39번길 3-1 (암남동)1990-04-2527
68모지포경로당부산광역시 서구 암남공원로 230-1 (암남동)1978-10-0425
69사랑쉼표경로당부산광역시 서구 천마로 25, 2층(암남동)2016-11-2930
70송도자유비치경로당부산광역시 서구 천해로7번길 33 (암남동,송도자유비치)1998-10-1520
71정림경로당부산광역시 서구 감천로 271 (암남동,송도정림비치타운)1998-10-1526
72송도풍림아이원경로당부산광역시 서구 암남공원로 39 (암남동,풍림아이원)2013-04-1029
73송도동일스위트경로당부산광역시 서구 성산길 47-17(송도동일스위트아파트)2016-12-1929
74삼경빌라아파트 경로당부산광역시 서구 감천로 277(암남동,삼경빌라맨션)2020-10-1432