Overview

Dataset statistics

Number of variables5
Number of observations40
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory45.3 B

Variable types

Numeric2
Text3

Dataset

Description경기도 안양시 노인의료복지시설 (노인의료복지 시설명, 노인의료복지 소재지, 노인의료복지 전화번호 등 ) 데이터 현행화 제공 정보입니다.
URLhttps://www.data.go.kr/data/15051649/fileData.do

Alerts

연번 has unique valuesUnique
시설명 has unique valuesUnique
소재지 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 04:59:11.461188
Analysis finished2023-12-12 04:59:12.487883
Duration1.03 second
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
2023-12-12T13:59:12.943519image/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
2023-12-12T13:59:13.186812image/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%

시설명
Text

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-12T13:59:13.520482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length7.075
Min length5

Characters and Unicode

Total characters283
Distinct characters92
Distinct categories4 ?
Distinct scripts4 ?
Distinct blocks3 ?
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 rowVIP엘림요양원
2nd row가연효요양원
3rd row가정愛요양원
4th row간호박사네요양원
5th row꿈에그린요양원
ValueCountFrequency (%)
vip엘림요양원 1
 
2.4%
요양원 1
 
2.4%
안양엘림요양원 1
 
2.4%
안양푸른요양원 1
 
2.4%
에덴요양원 1
 
2.4%
엘림효요양원 1
 
2.4%
예담실버케어요양원 1
 
2.4%
은빛마을요양원 1
 
2.4%
임곡 1
 
2.4%
사랑의 1
 
2.4%
Other values (32) 32
76.2%
2023-12-12T13:59:14.030422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
양 46
 
16.3%
요 40
 
14.1%
원 40
 
14.1%
안 9
 
3.2%
사 5
 
1.8%
호 5
 
1.8%
버 4
 
1.4%
엘 4
 
1.4%
실 4
 
1.4%
나 4
 
1.4%
Other values (82) 122
43.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 276
97.5%
Uppercase Letter 3
 
1.1%
Space Separator 2
 
0.7%
Decimal Number 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 46
 
16.7%
요 40
 
14.5%
원 40
 
14.5%
안 9
 
3.3%
사 5
 
1.8%
호 5
 
1.8%
버 4
 
1.4%
엘 4
 
1.4%
실 4
 
1.4%
나 4
 
1.4%
Other values (76) 115
41.7%
Uppercase Letter
ValueCountFrequency (%)
V 1
33.3%
P 1
33.3%
I 1
33.3%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 275
97.2%
Common 4
 
1.4%
Latin 3
 
1.1%
Han 1
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 46
16.7%
요 40
 
14.5%
원 40
 
14.5%
안 9
 
3.3%
사 5
 
1.8%
호 5
 
1.8%
버 4
 
1.5%
엘 4
 
1.5%
실 4
 
1.5%
나 4
 
1.5%
Other values (75) 114
41.5%
Common
ValueCountFrequency (%)
2
50.0%
1 1
25.0%
2 1
25.0%
Latin
ValueCountFrequency (%)
V 1
33.3%
P 1
33.3%
I 1
33.3%
Han
ValueCountFrequency (%)
愛 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 275
97.2%
ASCII 7
 
2.5%
CJK 1
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
양 46
16.7%
요 40
 
14.5%
원 40
 
14.5%
안 9
 
3.3%
사 5
 
1.8%
호 5
 
1.8%
버 4
 
1.5%
엘 4
 
1.5%
실 4
 
1.5%
나 4
 
1.5%
Other values (75) 114
41.5%
ASCII
ValueCountFrequency (%)
2
28.6%
V 1
14.3%
P 1
14.3%
1 1
14.3%
2 1
14.3%
I 1
14.3%
CJK
ValueCountFrequency (%)
愛 1
100.0%

정원
Real number (ℝ)

Distinct22
Distinct (%)55.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.65
Minimum9
Maximum128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-12T13:59:14.208401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile9
Q19
median25
Q352.5
95-th percentile112.55
Maximum128
Range119
Interquartile range (IQR)43.5

Descriptive statistics

Standard deviation37.66897
Coefficient of variation (CV)0.92666592
Kurtosis-0.18886983
Mean40.65
Median Absolute Deviation (MAD)16
Skewness1.0718419
Sum1626
Variance1418.9513
MonotonicityNot monotonic
2023-12-12T13:59:14.340673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
9 14
35.0%
42 3
 
7.5%
20 2
 
5.0%
29 2
 
5.0%
100 2
 
5.0%
24 1
 
2.5%
97 1
 
2.5%
18 1
 
2.5%
128 1
 
2.5%
123 1
 
2.5%
Other values (12) 12
30.0%
ValueCountFrequency (%)
9 14
35.0%
15 1
 
2.5%
18 1
 
2.5%
20 2
 
5.0%
22 1
 
2.5%
24 1
 
2.5%
26 1
 
2.5%
29 2
 
5.0%
36 1
 
2.5%
42 3
 
7.5%
ValueCountFrequency (%)
128 1
2.5%
123 1
2.5%
112 1
2.5%
106 1
2.5%
100 2
5.0%
97 1
2.5%
89 1
2.5%
75 1
2.5%
63 1
2.5%
49 1
2.5%

소재지
Text

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-12T13:59:14.679736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length40
Mean length33.625
Min length24

Characters and Unicode

Total characters1345
Distinct characters100
Distinct categories8 ?
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 row경기도 안양시 만안구 안양로 343, 501호 (안양동, 에버그린)
2nd row경기도 안양시 만안구 박달로497번길 62, 302호 (박달동)
3rd row경기도 안양시 만안구 문예로36번길 11, 4층 (안양동, 홍림빌딩)
4th row경기도 안양시 만안구 안양로 336, 1101호 (안양동, 금강빌딩)
5th row경기도 안양시 동안구 경수대로883번길 76 (비산동)
ValueCountFrequency (%)
경기도 40
 
13.7%
안양시 40
 
13.7%
만안구 31
 
10.6%
안양동 21
 
7.2%
안양로 10
 
3.4%
동안구 9
 
3.1%
박달동 7
 
2.4%
4층 6
 
2.0%
호계동 6
 
2.0%
양화로 5
 
1.7%
Other values (80) 118
40.3%
2023-12-12T13:59:15.257909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
253
18.8%
안 114
 
8.5%
양 78
 
5.8%
, 50
 
3.7%
동 49
 
3.6%
경 45
 
3.3%
로 44
 
3.3%
시 43
 
3.2%
) 40
 
3.0%
기 40
 
3.0%
Other values (90) 589
43.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 753
56.0%
Space Separator 253
 
18.8%
Decimal Number 202
 
15.0%
Other Punctuation 51
 
3.8%
Close Punctuation 40
 
3.0%
Open Punctuation 40
 
3.0%
Dash Punctuation 4
 
0.3%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
안 114
15.1%
양 78
 
10.4%
동 49
 
6.5%
경 45
 
6.0%
로 44
 
5.8%
시 43
 
5.7%
기 40
 
5.3%
도 40
 
5.3%
구 40
 
5.3%
만 32
 
4.2%
Other values (73) 228
30.3%
Decimal Number
ValueCountFrequency (%)
1 40
19.8%
4 32
15.8%
3 24
11.9%
2 24
11.9%
5 23
11.4%
0 22
10.9%
6 16
 
7.9%
7 9
 
4.5%
8 7
 
3.5%
9 5
 
2.5%
Other Punctuation
ValueCountFrequency (%)
, 50
98.0%
/ 1
 
2.0%
Space Separator
ValueCountFrequency (%)
253
100.0%
Close Punctuation
ValueCountFrequency (%)
) 40
100.0%
Open Punctuation
ValueCountFrequency (%)
( 40
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 753
56.0%
Common 592
44.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 114
15.1%
양 78
 
10.4%
동 49
 
6.5%
경 45
 
6.0%
로 44
 
5.8%
시 43
 
5.7%
기 40
 
5.3%
도 40
 
5.3%
구 40
 
5.3%
만 32
 
4.2%
Other values (73) 228
30.3%
Common
ValueCountFrequency (%)
253
42.7%
, 50
 
8.4%
) 40
 
6.8%
( 40
 
6.8%
1 40
 
6.8%
4 32
 
5.4%
3 24
 
4.1%
2 24
 
4.1%
5 23
 
3.9%
0 22
 
3.7%
Other values (7) 44
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 753
56.0%
ASCII 592
44.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
253
42.7%
, 50
 
8.4%
) 40
 
6.8%
( 40
 
6.8%
1 40
 
6.8%
4 32
 
5.4%
3 24
 
4.1%
2 24
 
4.1%
5 23
 
3.9%
0 22
 
3.7%
Other values (7) 44
 
7.4%
Hangul
ValueCountFrequency (%)
안 114
15.1%
양 78
 
10.4%
동 49
 
6.5%
경 45
 
6.0%
로 44
 
5.8%
시 43
 
5.7%
기 40
 
5.3%
도 40
 
5.3%
구 40
 
5.3%
만 32
 
4.2%
Other values (73) 228
30.3%

전화번호
Text

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-12T13:59:15.530793image/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

Unique40 ?
Unique (%)100.0%

Sample

1st row031-449-8899
2nd row031-443-5071
3rd row031-393-0691
4th row031-466-6700
5th row031-466-5851
ValueCountFrequency (%)
031-449-8899 1
 
2.5%
031-443-5071 1
 
2.5%
031-465-5075 1
 
2.5%
031-466-2288 1
 
2.5%
031-455-3121 1
 
2.5%
031-360-3602 1
 
2.5%
031-477-3330 1
 
2.5%
031-429-1360 1
 
2.5%
031-441-8550 1
 
2.5%
031-469-1717 1
 
2.5%
Other values (30) 30
75.0%
2023-12-12T13:59:15.984643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 80
16.7%
1 70
14.6%
0 69
14.4%
3 64
13.3%
4 62
12.9%
6 28
 
5.8%
2 25
 
5.2%
5 24
 
5.0%
8 23
 
4.8%
7 20
 
4.2%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 70
17.5%
0 69
17.2%
3 64
16.0%
4 62
15.5%
6 28
 
7.0%
2 25
 
6.2%
5 24
 
6.0%
8 23
 
5.8%
7 20
 
5.0%
9 15
 
3.8%
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 70
14.6%
0 69
14.4%
3 64
13.3%
4 62
12.9%
6 28
 
5.8%
2 25
 
5.2%
5 24
 
5.0%
8 23
 
4.8%
7 20
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 480
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 80
16.7%
1 70
14.6%
0 69
14.4%
3 64
13.3%
4 62
12.9%
6 28
 
5.8%
2 25
 
5.2%
5 24
 
5.0%
8 23
 
4.8%
7 20
 
4.2%

Interactions

2023-12-12T13:59:12.043591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:59:11.794377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:59:12.186426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:59:11.917124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:59:16.143473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설명정원소재지전화번호
연번1.0001.0000.0001.0001.000
시설명1.0001.0001.0001.0001.000
정원0.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.000
2023-12-12T13:59:16.253283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번정원
연번1.0000.257
정원0.2571.000

Missing values

2023-12-12T13:59:12.347559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:59:12.450448image/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

연번시설명정원소재지전화번호
01VIP엘림요양원20경기도 안양시 만안구 안양로 343, 501호 (안양동, 에버그린)031-449-8899
12가연효요양원9경기도 안양시 만안구 박달로497번길 62, 302호 (박달동)031-443-5071
23가정愛요양원9경기도 안양시 만안구 문예로36번길 11, 4층 (안양동, 홍림빌딩)031-393-0691
34간호박사네요양원29경기도 안양시 만안구 안양로 336, 1101호 (안양동, 금강빌딩)031-466-6700
45꿈에그린요양원42경기도 안양시 동안구 경수대로883번길 76 (비산동)031-466-5851
56나은요양원9경기도 안양시 만안구 양화로 160, 4층 (박달동)031-443-3371
67나은혜요양원9경기도 안양시 만안구 양화로 160, 3층 (박달동)031-441-2266
78느티나무요양원75경기도 안양시 만안구 전파로 62 (안양동)031-465-2212
89늘편안한요양원9경기도 안양시 만안구 안양로 370, 4층 (안양동, 광순빌딩)031-468-7957
910만안달빛요양원9경기도 안양시 만안구 안양로 368, 6층 (안양동)031-444-8808
연번시설명정원소재지전화번호
3031중앙효요양원29경기도 안양시 만안구 안양로 421, 3층 (안양동, 중앙정형외과3-5층)031-443-3340
3132참사랑요양원9경기도 안양시 만안구 삼덕로 14, 5층 (안양동, 로데오빌딩)031-441-4078
3233큰사랑요양원9경기도 안양시 만안구 삼덕로 14, 3층 (안양동, 로데오빌딩)031-441-2225
3334평촌요양원9경기도 안양시 동안구 경수대로 807, 2층 (호계동)031-451-9620
3435한마음요양원42경기도 안양시 만안구 안양로 240 (안양동)031-469-1013
3536해피나라노인전문요양원123경기도 안양시 만안구 안양로 491 (석수동, 프로빌딩)031-472-0808
3637해피전문요양원128경기도 안양시 만안구 덕천로 46 (안양동, 해피전문요양원)031-465-3114
3738행복한세상요양원18경기도 안양시 만안구 양화로 145, 3층 302호 (박달동, 크리시움타워)031-465-2799
3839호계실버타운요양원97경기도 안양시 동안구 엘에스로 45, 4층, 5층 (호계동, 대영골든타워/501호, 502호, 403~405호)031-451-2418
3940효사랑요양원9경기도 안양시 만안구 삼덕로 14, 4층 (안양동, 로데오빌딩)031-441-2228