Overview

Dataset statistics

Number of variables9
Number of observations189
Missing cells189
Missing cells (%)11.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.8 KiB
Average record size in memory74.7 B

Variable types

Categorical2
Text4
Numeric2
DateTime1

Dataset

Description강릉시에 등록된 노인복지시설에 대한 데이터(경로당 제외)로 시설종류,수용유형,시설명,도로명주소, 지번주소, 연락처, 위도, 경도, 데이터기준일자 등의 항목을 제공합니다.
Author강원특별자치도 강릉시
URLhttps://www.data.go.kr/data/15004498/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
시설종류 is highly overall correlated with 수용유형High correlation
수용유형 is highly overall correlated with 시설종류High correlation
도로명주소 has 3 (1.6%) missing valuesMissing
지번주소 has 186 (98.4%) missing valuesMissing

Reproduction

Analysis started2024-03-23 06:01:23.345397
Analysis finished2024-03-23 06:01:27.265947
Duration3.92 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설종류
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
노인의료복지시설
76 
재가노인복지시설
70 
재가장기요양기관
33 
노인교실
 
5
이용
 
4

Length

Max length8
Median length8
Mean length7.7460317
Min length2

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row이용
2nd row이용
3rd row이용
4th row이용
5th row노인교실

Common Values

ValueCountFrequency (%)
노인의료복지시설 76
40.2%
재가노인복지시설 70
37.0%
재가장기요양기관 33
17.5%
노인교실 5
 
2.6%
이용 4
 
2.1%
양로시설 1
 
0.5%

Length

2024-03-23T06:01:27.482136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T06:01:27.874009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노인의료복지시설 76
40.2%
재가노인복지시설 70
37.0%
재가장기요양기관 33
17.5%
노인교실 5
 
2.6%
이용 4
 
2.1%
양로시설 1
 
0.5%

수용유형
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
재가노인복지시설
70 
노인요양시설
51 
재가장기요양기관
33 
노인요양공동생활가정
25 
노인여가복지시설
 
5
Other values (2)
 
5

Length

Max length10
Median length8
Mean length7.6402116
Min length4

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row이용시설
2nd row이용시설
3rd row이용시설
4th row이용시설
5th row노인여가복지시설

Common Values

ValueCountFrequency (%)
재가노인복지시설 70
37.0%
노인요양시설 51
27.0%
재가장기요양기관 33
17.5%
노인요양공동생활가정 25
 
13.2%
노인여가복지시설 5
 
2.6%
이용시설 4
 
2.1%
노인주거복지시설 1
 
0.5%

Length

2024-03-23T06:01:28.462599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T06:01:28.824458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
재가노인복지시설 70
37.0%
노인요양시설 51
27.0%
재가장기요양기관 33
17.5%
노인요양공동생활가정 25
 
13.2%
노인여가복지시설 5
 
2.6%
이용시설 4
 
2.1%
노인주거복지시설 1
 
0.5%

시설명
Text

Distinct188
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-03-23T06:01:29.425900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length7.9047619
Min length3

Characters and Unicode

Total characters1494
Distinct characters205
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique187 ?
Unique (%)98.9%

Sample

1st row강원동부노인보호전문기관
2nd row강릉시니어클럽
3rd row강릉노인종합복지관
4th row노인종합복지관
5th row강릉 노인대학
ValueCountFrequency (%)
노인대학 4
 
1.9%
행복마을 2
 
1.0%
재가복지센터 2
 
1.0%
한나시니어 2
 
1.0%
요양원 2
 
1.0%
강릉부모사랑 2
 
1.0%
은혜재가복지센터 1
 
0.5%
에이스의료기 1
 
0.5%
부영의료기 1
 
0.5%
들국화재가복지센터2 1
 
0.5%
Other values (190) 190
91.3%
2024-03-23T06:01:30.819417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
양 87
 
5.8%
요 85
 
5.7%
센 81
 
5.4%
터 80
 
5.4%
복 62
 
4.1%
지 62
 
4.1%
가 59
 
3.9%
원 58
 
3.9%
재 56
 
3.7%
노 40
 
2.7%
Other values (195) 824
55.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1462
97.9%
Space Separator 19
 
1.3%
Decimal Number 5
 
0.3%
Uppercase Letter 3
 
0.2%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%
Letter Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 87
 
6.0%
요 85
 
5.8%
센 81
 
5.5%
터 80
 
5.5%
복 62
 
4.2%
지 62
 
4.2%
가 59
 
4.0%
원 58
 
4.0%
재 56
 
3.8%
노 40
 
2.7%
Other values (183) 792
54.2%
Decimal Number
ValueCountFrequency (%)
2 1
20.0%
3 1
20.0%
5 1
20.0%
6 1
20.0%
1 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
I 1
33.3%
S 1
33.3%
J 1
33.3%
Space Separator
ValueCountFrequency (%)
19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1462
97.9%
Common 28
 
1.9%
Latin 4
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 87
 
6.0%
요 85
 
5.8%
센 81
 
5.5%
터 80
 
5.5%
복 62
 
4.2%
지 62
 
4.2%
가 59
 
4.0%
원 58
 
4.0%
재 56
 
3.8%
노 40
 
2.7%
Other values (183) 792
54.2%
Common
ValueCountFrequency (%)
19
67.9%
( 2
 
7.1%
) 2
 
7.1%
2 1
 
3.6%
3 1
 
3.6%
5 1
 
3.6%
6 1
 
3.6%
1 1
 
3.6%
Latin
ValueCountFrequency (%)
I 1
25.0%
Ⅱ 1
25.0%
S 1
25.0%
J 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1462
97.9%
ASCII 31
 
2.1%
Number Forms 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
양 87
 
6.0%
요 85
 
5.8%
센 81
 
5.5%
터 80
 
5.5%
복 62
 
4.2%
지 62
 
4.2%
가 59
 
4.0%
원 58
 
4.0%
재 56
 
3.8%
노 40
 
2.7%
Other values (183) 792
54.2%
ASCII
ValueCountFrequency (%)
19
61.3%
( 2
 
6.5%
) 2
 
6.5%
I 1
 
3.2%
2 1
 
3.2%
3 1
 
3.2%
5 1
 
3.2%
6 1
 
3.2%
S 1
 
3.2%
J 1
 
3.2%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

도로명주소
Text

MISSING 

Distinct164
Distinct (%)88.2%
Missing3
Missing (%)1.6%
Memory size1.6 KiB
2024-03-23T06:01:31.744924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length35
Mean length27.596774
Min length21

Characters and Unicode

Total characters5133
Distinct characters146
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

Unique142 ?
Unique (%)76.3%

Sample

1st row강원특별자치도 강릉시 율곡로 2954, 3층
2nd row강원특별자치도 강릉시 공항길 19(병산동)
3rd row강원특별자치도 강릉시 경강로 1956(홍제동)
4th row강원특별자치도 강릉시 연곡면 연주로 230
5th row강원특별자치도 강릉시 경강로 1956 (홍제동)
ValueCountFrequency (%)
강원특별자치도 186
 
19.2%
강릉시 186
 
19.2%
포남동 36
 
3.7%
주문진읍 21
 
2.2%
홍제동 15
 
1.5%
6 12
 
1.2%
교동 11
 
1.1%
구정면 11
 
1.1%
2층 10
 
1.0%
노암동 9
 
0.9%
Other values (274) 471
48.7%
2024-03-23T06:01:33.273793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
782
 
15.2%
강 418
 
8.1%
릉 198
 
3.9%
도 188
 
3.7%
시 187
 
3.6%
원 187
 
3.6%
특 186
 
3.6%
별 186
 
3.6%
자 186
 
3.6%
치 186
 
3.6%
Other values (136) 2429
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3264
63.6%
Space Separator 782
 
15.2%
Decimal Number 736
 
14.3%
Open Punctuation 127
 
2.5%
Close Punctuation 127
 
2.5%
Dash Punctuation 60
 
1.2%
Other Punctuation 36
 
0.7%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
강 418
 
12.8%
릉 198
 
6.1%
도 188
 
5.8%
시 187
 
5.7%
원 187
 
5.7%
특 186
 
5.7%
별 186
 
5.7%
자 186
 
5.7%
치 186
 
5.7%
동 140
 
4.3%
Other values (120) 1202
36.8%
Decimal Number
ValueCountFrequency (%)
1 157
21.3%
2 137
18.6%
3 82
11.1%
5 72
9.8%
7 59
 
8.0%
9 56
 
7.6%
0 48
 
6.5%
4 47
 
6.4%
6 44
 
6.0%
8 34
 
4.6%
Space Separator
ValueCountFrequency (%)
782
100.0%
Open Punctuation
ValueCountFrequency (%)
( 127
100.0%
Close Punctuation
ValueCountFrequency (%)
) 127
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%
Other Punctuation
ValueCountFrequency (%)
, 36
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3264
63.6%
Common 1868
36.4%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
강 418
 
12.8%
릉 198
 
6.1%
도 188
 
5.8%
시 187
 
5.7%
원 187
 
5.7%
특 186
 
5.7%
별 186
 
5.7%
자 186
 
5.7%
치 186
 
5.7%
동 140
 
4.3%
Other values (120) 1202
36.8%
Common
ValueCountFrequency (%)
782
41.9%
1 157
 
8.4%
2 137
 
7.3%
( 127
 
6.8%
) 127
 
6.8%
3 82
 
4.4%
5 72
 
3.9%
- 60
 
3.2%
7 59
 
3.2%
9 56
 
3.0%
Other values (5) 209
 
11.2%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3264
63.6%
ASCII 1869
36.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
782
41.8%
1 157
 
8.4%
2 137
 
7.3%
( 127
 
6.8%
) 127
 
6.8%
3 82
 
4.4%
5 72
 
3.9%
- 60
 
3.2%
7 59
 
3.2%
9 56
 
3.0%
Other values (6) 210
 
11.2%
Hangul
ValueCountFrequency (%)
강 418
 
12.8%
릉 198
 
6.1%
도 188
 
5.8%
시 187
 
5.7%
원 187
 
5.7%
특 186
 
5.7%
별 186
 
5.7%
자 186
 
5.7%
치 186
 
5.7%
동 140
 
4.3%
Other values (120) 1202
36.8%

지번주소
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing186
Missing (%)98.4%
Memory size1.6 KiB
2024-03-23T06:01:33.740689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length24
Mean length25
Min length21

Characters and Unicode

Total characters75
Distinct characters34
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

Unique3 ?
Unique (%)100.0%

Sample

1st row강원특별자치도 강릉시 노암동 279-9
2nd row강원특별자치도 강릉시 유산동 588번지 4호
3rd row강원특별자치도 강릉시 주문진읍 교항리 585번지 10호
ValueCountFrequency (%)
강원특별자치도 3
20.0%
강릉시 3
20.0%
노암동 1
 
6.7%
279-9 1
 
6.7%
유산동 1
 
6.7%
588번지 1
 
6.7%
4호 1
 
6.7%
주문진읍 1
 
6.7%
교항리 1
 
6.7%
585번지 1
 
6.7%
2024-03-23T06:01:34.804870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12
 
16.0%
강 6
 
8.0%
특 3
 
4.0%
별 3
 
4.0%
자 3
 
4.0%
치 3
 
4.0%
도 3
 
4.0%
릉 3
 
4.0%
시 3
 
4.0%
8 3
 
4.0%
Other values (24) 33
44.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 49
65.3%
Decimal Number 13
 
17.3%
Space Separator 12
 
16.0%
Dash Punctuation 1
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
강 6
 
12.2%
특 3
 
6.1%
별 3
 
6.1%
자 3
 
6.1%
치 3
 
6.1%
도 3
 
6.1%
릉 3
 
6.1%
시 3
 
6.1%
원 3
 
6.1%
지 2
 
4.1%
Other values (14) 17
34.7%
Decimal Number
ValueCountFrequency (%)
8 3
23.1%
5 3
23.1%
9 2
15.4%
1 1
 
7.7%
4 1
 
7.7%
7 1
 
7.7%
2 1
 
7.7%
0 1
 
7.7%
Space Separator
ValueCountFrequency (%)
12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 49
65.3%
Common 26
34.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
강 6
 
12.2%
특 3
 
6.1%
별 3
 
6.1%
자 3
 
6.1%
치 3
 
6.1%
도 3
 
6.1%
릉 3
 
6.1%
시 3
 
6.1%
원 3
 
6.1%
지 2
 
4.1%
Other values (14) 17
34.7%
Common
ValueCountFrequency (%)
12
46.2%
8 3
 
11.5%
5 3
 
11.5%
9 2
 
7.7%
1 1
 
3.8%
4 1
 
3.8%
- 1
 
3.8%
7 1
 
3.8%
2 1
 
3.8%
0 1
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 49
65.3%
ASCII 26
34.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12
46.2%
8 3
 
11.5%
5 3
 
11.5%
9 2
 
7.7%
1 1
 
3.8%
4 1
 
3.8%
- 1
 
3.8%
7 1
 
3.8%
2 1
 
3.8%
0 1
 
3.8%
Hangul
ValueCountFrequency (%)
강 6
 
12.2%
특 3
 
6.1%
별 3
 
6.1%
자 3
 
6.1%
치 3
 
6.1%
도 3
 
6.1%
릉 3
 
6.1%
시 3
 
6.1%
원 3
 
6.1%
지 2
 
4.1%
Other values (14) 17
34.7%

연락처
Text

Distinct175
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-03-23T06:01:35.515075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.010582
Min length12

Characters and Unicode

Total characters2270
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

Unique161 ?
Unique (%)85.2%

Sample

1st row033-655-1389
2nd row033-652-9070
3rd row033-640-2411
4th row033-640-4285
5th row033-645-7985
ValueCountFrequency (%)
033-647-3789 2
 
1.1%
033-644-7703 2
 
1.1%
033-661-2788 2
 
1.1%
033-645-7573 2
 
1.1%
033-641-8869 2
 
1.1%
033-655-0655 2
 
1.1%
033-642-9945 2
 
1.1%
033-652-0113 2
 
1.1%
033-647-7588 2
 
1.1%
033-642-8898 2
 
1.1%
Other values (165) 169
89.4%
2024-03-23T06:01:36.512453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 465
20.5%
- 378
16.7%
0 306
13.5%
6 280
12.3%
4 195
8.6%
5 132
 
5.8%
1 130
 
5.7%
2 108
 
4.8%
7 101
 
4.4%
8 98
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1892
83.3%
Dash Punctuation 378
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 465
24.6%
0 306
16.2%
6 280
14.8%
4 195
10.3%
5 132
 
7.0%
1 130
 
6.9%
2 108
 
5.7%
7 101
 
5.3%
8 98
 
5.2%
9 77
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 378
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2270
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 465
20.5%
- 378
16.7%
0 306
13.5%
6 280
12.3%
4 195
8.6%
5 132
 
5.8%
1 130
 
5.7%
2 108
 
4.8%
7 101
 
4.4%
8 98
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2270
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 465
20.5%
- 378
16.7%
0 306
13.5%
6 280
12.3%
4 195
8.6%
5 132
 
5.8%
1 130
 
5.7%
2 108
 
4.8%
7 101
 
4.4%
8 98
 
4.3%

위도
Real number (ℝ)

Distinct163
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.770001
Minimum37.560228
Maximum37.903407
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-03-23T06:01:36.934655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.560228
5-th percentile37.7043
Q137.74498
median37.758033
Q337.771862
95-th percentile37.892708
Maximum37.903407
Range0.3431792
Interquartile range (IQR)0.0268827

Descriptive statistics

Standard deviation0.053856317
Coefficient of variation (CV)0.0014259019
Kurtosis1.760403
Mean37.770001
Median Absolute Deviation (MAD)0.01382957
Skewness0.88418
Sum7138.5302
Variance0.0029005028
MonotonicityNot monotonic
2024-03-23T06:01:37.429514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.77728817 3
 
1.6%
37.8485158 2
 
1.1%
37.81135419 2
 
1.1%
37.77437768 2
 
1.1%
37.73788568 2
 
1.1%
37.72982013 2
 
1.1%
37.90265581 2
 
1.1%
37.70339709 2
 
1.1%
37.73458189 2
 
1.1%
37.75803278 2
 
1.1%
Other values (153) 168
88.9%
ValueCountFrequency (%)
37.56022799 1
0.5%
37.6728601 1
0.5%
37.68382822 1
0.5%
37.68961163 1
0.5%
37.69059536 1
0.5%
37.69221605 1
0.5%
37.70081025 1
0.5%
37.70269773 1
0.5%
37.70339709 2
1.1%
37.70565434 1
0.5%
ValueCountFrequency (%)
37.90340719 1
0.5%
37.90278039 1
0.5%
37.90265581 2
1.1%
37.89683781 1
0.5%
37.89620096 1
0.5%
37.89578588 1
0.5%
37.89422197 1
0.5%
37.89393892 1
0.5%
37.89270771 2
1.1%
37.88754463 1
0.5%

경도
Real number (ℝ)

Distinct163
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.40114
Minimum37.875163
Maximum129.0526
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-03-23T06:01:37.890521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.875163
5-th percentile128.81456
Q1128.86121
median128.89187
Q3128.9075
95-th percentile128.92423
Maximum129.0526
Range91.177434
Interquartile range (IQR)0.0462914

Descriptive statistics

Standard deviation6.6199588
Coefficient of variation (CV)0.051556852
Kurtosis188.9841
Mean128.40114
Median Absolute Deviation (MAD)0.0177035
Skewness-13.746864
Sum24267.816
Variance43.823854
MonotonicityNot monotonic
2024-03-23T06:01:38.318473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.9157648 3
 
1.6%
128.8416676 2
 
1.1%
128.8399453 2
 
1.1%
128.8865323 2
 
1.1%
128.8880849 2
 
1.1%
128.9070723 2
 
1.1%
128.8221015 2
 
1.1%
128.8408472 2
 
1.1%
128.8424145 2
 
1.1%
128.8620035 2
 
1.1%
Other values (153) 168
88.9%
ValueCountFrequency (%)
37.87516279 1
0.5%
128.6473432 1
0.5%
128.7208377 1
0.5%
128.7938202 1
0.5%
128.7986365 1
0.5%
128.7989456 1
0.5%
128.8033077 1
0.5%
128.8084682 1
0.5%
128.8107624 2
1.1%
128.8202564 1
0.5%
ValueCountFrequency (%)
129.0525968 1
0.5%
129.0025278 1
0.5%
128.9755754 1
0.5%
128.953375 1
0.5%
128.9384344 1
0.5%
128.9299377 2
1.1%
128.926025 1
0.5%
128.9248984 1
0.5%
128.9242305 2
1.1%
128.9231758 1
0.5%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2024-03-12 00:00:00
Maximum2024-03-12 00:00:00
2024-03-23T06:01:38.596945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T06:01:38.840107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-23T06:01:25.207941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T06:01:24.594557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T06:01:25.528557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T06:01:24.910869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T06:01:39.057559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설종류수용유형지번주소위도경도
시설종류1.0001.0001.0000.2260.000
수용유형1.0001.0001.0000.2860.000
지번주소1.0001.0001.0001.0001.000
위도0.2260.2861.0001.0000.050
경도0.0000.0001.0000.0501.000
2024-03-23T06:01:39.233005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설종류수용유형
시설종류1.0000.997
수용유형0.9971.000
2024-03-23T06:01:39.390073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도시설종류수용유형
위도1.000-0.2700.1260.156
경도-0.2701.0000.0000.000
시설종류0.1260.0001.0000.997
수용유형0.1560.0000.9971.000

Missing values

2024-03-23T06:01:25.991278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T06:01:26.588103image/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.
2024-03-23T06:01:27.139242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

시설종류수용유형시설명도로명주소지번주소연락처위도경도데이터기준일자
0이용이용시설강원동부노인보호전문기관강원특별자치도 강릉시 율곡로 2954, 3층<NA>033-655-138937.766286128.8918692024-03-12
1이용이용시설강릉시니어클럽강원특별자치도 강릉시 공항길 19(병산동)<NA>033-652-907037.762548128.9384342024-03-12
2이용이용시설강릉노인종합복지관강원특별자치도 강릉시 경강로 1956(홍제동)<NA>033-640-241137.747719128.8839882024-03-12
3이용이용시설노인종합복지관강원특별자치도 강릉시 연곡면 연주로 230<NA>033-640-428537.874309128.8313682024-03-12
4노인교실노인여가복지시설강릉 노인대학강원특별자치도 강릉시 경강로 1956 (홍제동)<NA>033-645-798537.747719128.8839882024-03-12
5노인교실노인여가복지시설북부 노인대학강원특별자치도 강릉시 사천면 미노길 28<NA>033-644-024937.8203128.8511152024-03-12
6노인교실노인여가복지시설주문진 노인대학강원특별자치도 강릉시 주문진읍 신리대동길 31-3<NA>033-662-900837.881871128.8216862024-03-12
7노인교실노인여가복지시설소망 노인대학강원특별자치도 강릉시 종합운동장길 96 (교동)<NA>033-645-190137.770476128.8964392024-03-12
8노인교실노인여가복지시설기쁜실버대학강원특별자치도 강릉시 종합운동장길 19 (교동)<NA>033-641-338237.775097128.8912082024-03-12
9양로시설노인주거복지시설평안의 집강원특별자치도 강릉시 모산로390번길 15 (유산동)<NA>033-643-643537.740086128.9065542024-03-12
시설종류수용유형시설명도로명주소지번주소연락처위도경도데이터기준일자
179재가장기요양기관재가장기요양기관성덕방문요양센터강원특별자치도 강릉시 용지로 31, 5층 (입암동)<NA>033-646-995037.754398128.9110862024-03-12
180재가장기요양기관재가장기요양기관한나 재가복지센터강원특별자치도 강릉시 홍제로71번길 24, 1층 (홍제동)<NA>033-645-990137.753304128.8819152024-03-12
181재가장기요양기관재가장기요양기관헬스케어의료기강원특별자치도 강릉시 보래미하길 19, 5층 (포남동)<NA>033-651-140137.771862128.9095732024-03-12
182재가장기요양기관재가장기요양기관강릉의료기강원특별자치도 강릉시 사천면 방동길 16<NA>033-641-820237.815355128.8561132024-03-12
183재가장기요양기관재가장기요양기관굿모닝의료기강원특별자치도 강릉시 주문진읍 주문로 97<NA>033-661-323437.892708128.8266072024-03-12
184재가장기요양기관재가장기요양기관나눔의료기강원특별자치도 강릉시 남문길 13 (남문동)<NA>033-645-131137.750483128.8930762024-03-12
185재가장기요양기관재가장기요양기관고려보조기강원특별자치도 강릉시 경강로 2019 (명주동)<NA>033-646-747737.749767128.8904692024-03-12
186재가장기요양기관재가장기요양기관이원건강의료기 강릉점강원특별자치도 강릉시 율곡로 2835 (옥천동)<NA>033-647-215937.757225128.8977232024-03-12
187재가장기요양기관재가장기요양기관기쁨요양방문센터강원특별자치도 강릉시 주문진읍 연주로 472<NA>033-662-141737.894222128.8252332024-03-12
188재가장기요양기관재가장기요양기관신화메디칼강원특별자치도 강릉시 옥천로 57, 2호 (옥천동)<NA>033-643-855137.759539128.8993932024-03-12