Overview

Dataset statistics

Number of variables5
Number of observations76
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.2 KiB
Average record size in memory42.7 B

Variable types

Numeric1
Text3
DateTime1

Dataset

Description부산광역시 연제구 관내 등록된 장기요양기관현황에 대한 데이터로 각 업체명, 관내 주소, 대표 연락처 등을 제공하고 있습니다.
Author부산광역시 연제구
URLhttps://www.data.go.kr/data/15051409/fileData.do

Alerts

순번 has unique valuesUnique

Reproduction

Analysis started2024-04-29 22:32:02.852973
Analysis finished2024-04-29 22:32:05.119715
Duration2.27 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct76
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.5
Minimum1
Maximum76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-04-30T07:32:05.185080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.75
Q119.75
median38.5
Q357.25
95-th percentile72.25
Maximum76
Range75
Interquartile range (IQR)37.5

Descriptive statistics

Standard deviation22.083176
Coefficient of variation (CV)0.57358899
Kurtosis-1.2
Mean38.5
Median Absolute Deviation (MAD)19
Skewness0
Sum2926
Variance487.66667
MonotonicityStrictly increasing
2024-04-30T07:32:05.316979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.3%
50 1
 
1.3%
57 1
 
1.3%
56 1
 
1.3%
55 1
 
1.3%
54 1
 
1.3%
53 1
 
1.3%
52 1
 
1.3%
51 1
 
1.3%
49 1
 
1.3%
Other values (66) 66
86.8%
ValueCountFrequency (%)
1 1
1.3%
2 1
1.3%
3 1
1.3%
4 1
1.3%
5 1
1.3%
6 1
1.3%
7 1
1.3%
8 1
1.3%
9 1
1.3%
10 1
1.3%
ValueCountFrequency (%)
76 1
1.3%
75 1
1.3%
74 1
1.3%
73 1
1.3%
72 1
1.3%
71 1
1.3%
70 1
1.3%
69 1
1.3%
68 1
1.3%
67 1
1.3%

업체명
Text

Distinct74
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size740.0 B
2024-04-30T07:32:05.534203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length9.7368421
Min length5

Characters and Unicode

Total characters740
Distinct characters142
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique72 ?
Unique (%)94.7%

Sample

1st row(주)백세행복노인복지센터
2nd row가온노인주간보호센터
3rd row한결재가복지센터
4th row태영재가복지센터
5th row참기쁜 방문요양센터
ValueCountFrequency (%)
녹원요양원 3
 
3.1%
주)부산데이케어 2
 
2.0%
연화원 2
 
2.0%
소규모요양시설(가형 2
 
2.0%
주)대림복지센터 2
 
2.0%
가족사랑애노인복지센터 1
 
1.0%
주)백세행복노인복지센터 1
 
1.0%
단비재가복지센터 1
 
1.0%
연제은빛나래재가복지센터 1
 
1.0%
주"모시미재활주간보호센터 1
 
1.0%
Other values (82) 82
83.7%
2024-04-30T07:32:05.881120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
센 53
 
7.2%
터 52
 
7.0%
복 48
 
6.5%
지 46
 
6.2%
가 41
 
5.5%
재 33
 
4.5%
22
 
3.0%
인 21
 
2.8%
노 20
 
2.7%
주 16
 
2.2%
Other values (132) 388
52.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 684
92.4%
Space Separator 22
 
3.0%
Close Punctuation 13
 
1.8%
Open Punctuation 13
 
1.8%
Other Punctuation 5
 
0.7%
Uppercase Letter 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
센 53
 
7.7%
터 52
 
7.6%
복 48
 
7.0%
지 46
 
6.7%
가 41
 
6.0%
재 33
 
4.8%
인 21
 
3.1%
노 20
 
2.9%
주 16
 
2.3%
양 15
 
2.2%
Other values (124) 339
49.6%
Uppercase Letter
ValueCountFrequency (%)
S 1
33.3%
A 1
33.3%
K 1
33.3%
Other Punctuation
ValueCountFrequency (%)
" 4
80.0%
& 1
 
20.0%
Space Separator
ValueCountFrequency (%)
22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 684
92.4%
Common 53
 
7.2%
Latin 3
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
센 53
 
7.7%
터 52
 
7.6%
복 48
 
7.0%
지 46
 
6.7%
가 41
 
6.0%
재 33
 
4.8%
인 21
 
3.1%
노 20
 
2.9%
주 16
 
2.3%
양 15
 
2.2%
Other values (124) 339
49.6%
Common
ValueCountFrequency (%)
22
41.5%
) 13
24.5%
( 13
24.5%
" 4
 
7.5%
& 1
 
1.9%
Latin
ValueCountFrequency (%)
S 1
33.3%
A 1
33.3%
K 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 684
92.4%
ASCII 56
 
7.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
센 53
 
7.7%
터 52
 
7.6%
복 48
 
7.0%
지 46
 
6.7%
가 41
 
6.0%
재 33
 
4.8%
인 21
 
3.1%
노 20
 
2.9%
주 16
 
2.3%
양 15
 
2.2%
Other values (124) 339
49.6%
ASCII
ValueCountFrequency (%)
22
39.3%
) 13
23.2%
( 13
23.2%
" 4
 
7.1%
S 1
 
1.8%
& 1
 
1.8%
A 1
 
1.8%
K 1
 
1.8%

지정일자
Date

Distinct65
Distinct (%)85.5%
Missing0
Missing (%)0.0%
Memory size740.0 B
Minimum2008-05-21 00:00:00
Maximum2024-03-01 00:00:00
2024-04-30T07:32:06.022519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:32:06.156973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

주소
Text

Distinct74
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size740.0 B
2024-04-30T07:32:06.437584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length41
Mean length30.789474
Min length21

Characters and Unicode

Total characters2340
Distinct characters112
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

Unique72 ?
Unique (%)94.7%

Sample

1st row부산광역시 연제구 중앙대로 1255, 2층 (거제동)
2nd row부산광역시 연제구 과정로 307, 3층 (연산동)
3rd row부산광역시 연제구 연미로13번길 26, 2층 (연산동)
4th row부산광역시 연제구 고분로242번길 57 (연산동)
5th row부산광역시 연제구 고분로 200, 분산상가동 302호 (연산동, 연산엘지아파트)
ValueCountFrequency (%)
부산광역시 76
 
16.9%
연제구 76
 
16.9%
연산동 53
 
11.8%
거제동 19
 
4.2%
2층 11
 
2.4%
과정로 4
 
0.9%
1층 4
 
0.9%
202호 4
 
0.9%
연수로 4
 
0.9%
중앙대로 4
 
0.9%
Other values (151) 195
43.3%
2024-04-30T07:32:06.846322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
374
 
16.0%
연 149
 
6.4%
산 137
 
5.9%
제 108
 
4.6%
동 87
 
3.7%
1 87
 
3.7%
로 79
 
3.4%
시 78
 
3.3%
부 76
 
3.2%
) 76
 
3.2%
Other values (102) 1089
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1365
58.3%
Decimal Number 379
 
16.2%
Space Separator 374
 
16.0%
Close Punctuation 76
 
3.2%
Open Punctuation 76
 
3.2%
Other Punctuation 61
 
2.6%
Dash Punctuation 8
 
0.3%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
연 149
 
10.9%
산 137
 
10.0%
제 108
 
7.9%
동 87
 
6.4%
로 79
 
5.8%
시 78
 
5.7%
부 76
 
5.6%
구 76
 
5.6%
역 76
 
5.6%
광 76
 
5.6%
Other values (86) 423
31.0%
Decimal Number
ValueCountFrequency (%)
1 87
23.0%
2 76
20.1%
0 46
12.1%
3 44
11.6%
7 26
 
6.9%
4 24
 
6.3%
8 23
 
6.1%
6 21
 
5.5%
5 19
 
5.0%
9 13
 
3.4%
Space Separator
ValueCountFrequency (%)
374
100.0%
Close Punctuation
ValueCountFrequency (%)
) 76
100.0%
Open Punctuation
ValueCountFrequency (%)
( 76
100.0%
Other Punctuation
ValueCountFrequency (%)
, 61
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1365
58.3%
Common 974
41.6%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
연 149
 
10.9%
산 137
 
10.0%
제 108
 
7.9%
동 87
 
6.4%
로 79
 
5.8%
시 78
 
5.7%
부 76
 
5.6%
구 76
 
5.6%
역 76
 
5.6%
광 76
 
5.6%
Other values (86) 423
31.0%
Common
ValueCountFrequency (%)
374
38.4%
1 87
 
8.9%
) 76
 
7.8%
( 76
 
7.8%
2 76
 
7.8%
, 61
 
6.3%
0 46
 
4.7%
3 44
 
4.5%
7 26
 
2.7%
4 24
 
2.5%
Other values (5) 84
 
8.6%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1365
58.3%
ASCII 975
41.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
374
38.4%
1 87
 
8.9%
) 76
 
7.8%
( 76
 
7.8%
2 76
 
7.8%
, 61
 
6.3%
0 46
 
4.7%
3 44
 
4.5%
7 26
 
2.7%
4 24
 
2.5%
Other values (6) 85
 
8.7%
Hangul
ValueCountFrequency (%)
연 149
 
10.9%
산 137
 
10.0%
제 108
 
7.9%
동 87
 
6.4%
로 79
 
5.8%
시 78
 
5.7%
부 76
 
5.6%
구 76
 
5.6%
역 76
 
5.6%
광 76
 
5.6%
Other values (86) 423
31.0%

연락처
Text

Distinct70
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Memory size740.0 B
2024-04-30T07:32:07.074342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.013158
Min length12

Characters and Unicode

Total characters913
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

Unique65 ?
Unique (%)85.5%

Sample

1st row051-503-9888
2nd row051-866-3309
3rd row051-926-1956
4th row051-757-5446
5th row051-757-2707
ValueCountFrequency (%)
051-862-3200 3
 
3.9%
051-868-0588 2
 
2.6%
051-868-9845 2
 
2.6%
051-507-7350 2
 
2.6%
051-868-3800 2
 
2.6%
051-503-9888 1
 
1.3%
051-1899-1506 1
 
1.3%
051-852-0535 1
 
1.3%
051-867-4602 1
 
1.3%
051-867-9980 1
 
1.3%
Other values (60) 60
78.9%
2024-04-30T07:32:07.390527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 153
16.8%
- 152
16.6%
0 127
13.9%
1 109
11.9%
8 88
9.6%
7 68
7.4%
6 62
6.8%
3 58
 
6.4%
2 36
 
3.9%
9 33
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 761
83.4%
Dash Punctuation 152
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 153
20.1%
0 127
16.7%
1 109
14.3%
8 88
11.6%
7 68
8.9%
6 62
8.1%
3 58
 
7.6%
2 36
 
4.7%
9 33
 
4.3%
4 27
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 152
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 913
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 153
16.8%
- 152
16.6%
0 127
13.9%
1 109
11.9%
8 88
9.6%
7 68
7.4%
6 62
6.8%
3 58
 
6.4%
2 36
 
3.9%
9 33
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 913
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 153
16.8%
- 152
16.6%
0 127
13.9%
1 109
11.9%
8 88
9.6%
7 68
7.4%
6 62
6.8%
3 58
 
6.4%
2 36
 
3.9%
9 33
 
3.6%

Interactions

2024-04-30T07:32:04.802012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-30T07:32:07.490109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번업체명지정일자주소연락처
순번1.0000.8430.9020.8430.959
업체명0.8431.0000.9971.0001.000
지정일자0.9020.9971.0000.9970.998
주소0.8431.0000.9971.0001.000
연락처0.9591.0000.9981.0001.000

Missing values

2024-04-30T07:32:04.993989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-30T07:32:05.083697image/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

순번업체명지정일자주소연락처
01(주)백세행복노인복지센터2023-10-12부산광역시 연제구 중앙대로 1255, 2층 (거제동)051-503-9888
12가온노인주간보호센터2021-09-16부산광역시 연제구 과정로 307, 3층 (연산동)051-866-3309
23한결재가복지센터2021-07-01부산광역시 연제구 연미로13번길 26, 2층 (연산동)051-926-1956
34태영재가복지센터2019-06-01부산광역시 연제구 고분로242번길 57 (연산동)051-757-5446
45참기쁜 방문요양센터2018-04-02부산광역시 연제구 고분로 200, 분산상가동 302호 (연산동, 연산엘지아파트)051-757-2707
56셀리번노인재가센터2017-12-19부산광역시 연제구 중앙대로 1078, 1212호 (연산동, 뉴그랜드오피스텔)051-866-4403
67연화원 소규모요양시설(가형)2008-06-26부산광역시 연제구 중앙대로1066번길 35 (연산동)051-868-0588
78참사랑재가복지센터2016-08-04부산광역시 연제구 연수로 227, 2층 (연산동)051-853-7426
89사랑인복지센터2010-10-11부산광역시 연제구 신촌로 3, 202호 (연산동, 연산로터리새마을금고빌딩)051-862-4002
910(주)참빛 요양복지센터2009-11-20부산광역시 연제구 안연로 1 (연산동)051-751-7337
순번업체명지정일자주소연락처
6667녹원요양원 함박꽃나무집2009-03-10부산광역시 연제구 쌍미천로84번길 99 (연산동,1층)051-862-3200
6768녹원요양원 정금나무집2009-03-10부산광역시 연제구 쌍미천로84번길 99 (연산동,2층)051-862-3200
6869가족사랑애노인복지센터2019-04-03부산광역시 연제구 여고로 134-1, 2층 (거제동, 한빛빌딩)051-505-1215
6970보경복지센터2015-03-01부산광역시 연제구 거제대로 128, 707호 (거제동, 성원맨투로빌)051-868-9845
7071단디데이케어 건강장수연구소2019-12-20부산광역시 연제구 연제로 27, 3층 (연산동)051-852-1802
7172장한의료기2022-06-10부산광역시 연제구 거제천로230번길 53, 상가동 101호 (연산동)051-863-3232
7273보경요양원(실버홈)2015-03-01부산광역시 연제구 거제대로 128, 807호 (거제동, 성원맨투로빌)051-868-9845
7374주식회사 경서메디2014-04-25부산광역시 연제구 중앙대로1235번길 41, 1층 102호 (거제동, 양지빌딩)051-863-7326
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