Overview

Dataset statistics

Number of variables11
Number of observations27
Missing cells18
Missing cells (%)6.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 KiB
Average record size in memory96.9 B

Variable types

Numeric4
Categorical3
Text4

Dataset

Description전라남도 신안군 장기요양시설현황에 대한 데이터로 시설유형, 시설명, 시설소재지주소, 위도, 경도, 전화번호, 급여종류, 입소정원, 데이터기준일자를 포함하고 있습니다.
URLhttps://www.data.go.kr/data/15113884/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
시설유형 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
급여종류 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
연번 is highly overall correlated with 입소정원 and 2 other fieldsHigh correlation
경도 is highly overall correlated with 입소정원High correlation
입소정원 is highly overall correlated with 연번 and 3 other fieldsHigh correlation
입소정원 has 18 (66.7%) missing valuesMissing
연번 has unique valuesUnique
시설명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 01:55:33.381060
Analysis finished2023-12-12 01:55:36.576423
Duration3.2 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14
Minimum1
Maximum27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T10:55:36.648966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.3
Q17.5
median14
Q320.5
95-th percentile25.7
Maximum27
Range26
Interquartile range (IQR)13

Descriptive statistics

Standard deviation7.9372539
Coefficient of variation (CV)0.56694671
Kurtosis-1.2
Mean14
Median Absolute Deviation (MAD)7
Skewness0
Sum378
Variance63
MonotonicityStrictly increasing
2023-12-12T10:55:36.827824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
1 1
 
3.7%
2 1
 
3.7%
27 1
 
3.7%
26 1
 
3.7%
25 1
 
3.7%
24 1
 
3.7%
23 1
 
3.7%
22 1
 
3.7%
21 1
 
3.7%
20 1
 
3.7%
Other values (17) 17
63.0%
ValueCountFrequency (%)
1 1
3.7%
2 1
3.7%
3 1
3.7%
4 1
3.7%
5 1
3.7%
6 1
3.7%
7 1
3.7%
8 1
3.7%
9 1
3.7%
10 1
3.7%
ValueCountFrequency (%)
27 1
3.7%
26 1
3.7%
25 1
3.7%
24 1
3.7%
23 1
3.7%
22 1
3.7%
21 1
3.7%
20 1
3.7%
19 1
3.7%
18 1
3.7%

시설유형
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
재가시설
18 
생활시설
9 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
재가시설 18
66.7%
생활시설 9
33.3%

Length

2023-12-12T10:55:37.002919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:55:37.131709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
재가시설 18
66.7%
생활시설 9
33.3%

시설명
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-12T10:55:37.367362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length9.2592593
Min length6

Characters and Unicode

Total characters250
Distinct characters78
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)100.0%

Sample

1st row흑산재가복지요양센터
2nd row늘푸른재가복지센터
3rd row전남재가복지센터
4th row사랑재가복지센터
5th row효다함재가복지센터
ValueCountFrequency (%)
재가센터 2
 
6.1%
흑산재가복지요양센터 1
 
3.0%
늘푸른재가복지센터 1
 
3.0%
자은노인요양공동생활가정 1
 
3.0%
임자노인요양공동생활가정 1
 
3.0%
비금노인요양공동생활가정 1
 
3.0%
수호천사요양원 1
 
3.0%
신안대우요양원 1
 
3.0%
지도노인요양원 1
 
3.0%
노인요양원 1
 
3.0%
Other values (22) 22
66.7%
2023-12-12T10:55:37.821703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
센 18
 
7.2%
터 18
 
7.2%
가 15
 
6.0%
지 15
 
6.0%
복 14
 
5.6%
인 12
 
4.8%
노 12
 
4.8%
재 11
 
4.4%
요 11
 
4.4%
양 11
 
4.4%
Other values (68) 113
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 241
96.4%
Space Separator 6
 
2.4%
Decimal Number 2
 
0.8%
Other Symbol 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
센 18
 
7.5%
터 18
 
7.5%
가 15
 
6.2%
지 15
 
6.2%
복 14
 
5.8%
인 12
 
5.0%
노 12
 
5.0%
재 11
 
4.6%
요 11
 
4.6%
양 11
 
4.6%
Other values (64) 104
43.2%
Decimal Number
ValueCountFrequency (%)
6 1
50.0%
5 1
50.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 242
96.8%
Common 8
 
3.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
센 18
 
7.4%
터 18
 
7.4%
가 15
 
6.2%
지 15
 
6.2%
복 14
 
5.8%
인 12
 
5.0%
노 12
 
5.0%
재 11
 
4.5%
요 11
 
4.5%
양 11
 
4.5%
Other values (65) 105
43.4%
Common
ValueCountFrequency (%)
6
75.0%
6 1
 
12.5%
5 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 241
96.4%
ASCII 8
 
3.2%
None 1
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
센 18
 
7.5%
터 18
 
7.5%
가 15
 
6.2%
지 15
 
6.2%
복 14
 
5.8%
인 12
 
5.0%
노 12
 
5.0%
재 11
 
4.6%
요 11
 
4.6%
양 11
 
4.6%
Other values (64) 104
43.2%
ASCII
ValueCountFrequency (%)
6
75.0%
6 1
 
12.5%
5 1
 
12.5%
None
ValueCountFrequency (%)
㈜ 1
100.0%

시설소재지도로명주소
Text

Distinct24
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-12T10:55:38.080394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length21.666667
Min length19

Characters and Unicode

Total characters585
Distinct characters72
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

Unique21 ?
Unique (%)77.8%

Sample

1st row전라남도 신안군 흑산면 흑산일주로 2637
2nd row전라남도 신안군 자은면 중부로 2606-7
3rd row전라남도 신안군 장산면 장산로 315-15
4th row전라남도 신안군 임자면 임자로 129-2
5th row전라남도 신안군 하의면 곰실길 11-12
ValueCountFrequency (%)
전라남도 27
20.0%
신안군 27
20.0%
비금면 4
 
3.0%
지도읍 4
 
3.0%
팔금면 3
 
2.2%
압해읍 3
 
2.2%
임자면 3
 
2.2%
중부로 3
 
2.2%
암태면 2
 
1.5%
자은면 2
 
1.5%
Other values (49) 57
42.2%
2023-12-12T10:55:38.559993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
108
18.5%
1 33
 
5.6%
도 32
 
5.5%
안 29
 
5.0%
전 27
 
4.6%
군 27
 
4.6%
라 27
 
4.6%
신 27
 
4.6%
남 27
 
4.6%
면 20
 
3.4%
Other values (62) 228
39.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 359
61.4%
Space Separator 108
 
18.5%
Decimal Number 99
 
16.9%
Dash Punctuation 19
 
3.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 32
 
8.9%
안 29
 
8.1%
전 27
 
7.5%
군 27
 
7.5%
라 27
 
7.5%
신 27
 
7.5%
남 27
 
7.5%
면 20
 
5.6%
길 19
 
5.3%
읍 9
 
2.5%
Other values (50) 115
32.0%
Decimal Number
ValueCountFrequency (%)
1 33
33.3%
2 16
16.2%
7 10
 
10.1%
5 9
 
9.1%
3 9
 
9.1%
6 8
 
8.1%
0 6
 
6.1%
8 4
 
4.0%
9 3
 
3.0%
4 1
 
1.0%
Space Separator
ValueCountFrequency (%)
108
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 359
61.4%
Common 226
38.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 32
 
8.9%
안 29
 
8.1%
전 27
 
7.5%
군 27
 
7.5%
라 27
 
7.5%
신 27
 
7.5%
남 27
 
7.5%
면 20
 
5.6%
길 19
 
5.3%
읍 9
 
2.5%
Other values (50) 115
32.0%
Common
ValueCountFrequency (%)
108
47.8%
1 33
 
14.6%
- 19
 
8.4%
2 16
 
7.1%
7 10
 
4.4%
5 9
 
4.0%
3 9
 
4.0%
6 8
 
3.5%
0 6
 
2.7%
8 4
 
1.8%
Other values (2) 4
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 359
61.4%
ASCII 226
38.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
108
47.8%
1 33
 
14.6%
- 19
 
8.4%
2 16
 
7.1%
7 10
 
4.4%
5 9
 
4.0%
3 9
 
4.0%
6 8
 
3.5%
0 6
 
2.7%
8 4
 
1.8%
Other values (2) 4
 
1.8%
Hangul
ValueCountFrequency (%)
도 32
 
8.9%
안 29
 
8.1%
전 27
 
7.5%
군 27
 
7.5%
라 27
 
7.5%
신 27
 
7.5%
남 27
 
7.5%
면 20
 
5.6%
길 19
 
5.3%
읍 9
 
2.5%
Other values (50) 115
32.0%

시설소재지지번주소
Text

Distinct24
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-12T10:55:38.887026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length21.481481
Min length19

Characters and Unicode

Total characters580
Distinct characters64
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

Unique21 ?
Unique (%)77.8%

Sample

1st row전라남도 신안군 흑산면 예리 산 98-12
2nd row전라남도 신안군 자은면 유각리 245-3
3rd row전라남도 신안군 장산면 대리 397-1
4th row전라남도 신안군 임자면 진리 431-26
5th row전라남도 신안군 하의면 웅곡리 242-15
ValueCountFrequency (%)
전라남도 27
19.9%
신안군 27
19.9%
비금면 4
 
2.9%
지도읍 4
 
2.9%
팔금면 3
 
2.2%
임자면 3
 
2.2%
진리 3
 
2.2%
압해읍 3
 
2.2%
하의면 2
 
1.5%
자은면 2
 
1.5%
Other values (48) 58
42.6%
2023-12-12T10:55:39.347845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
109
18.8%
도 32
 
5.5%
신 29
 
5.0%
안 28
 
4.8%
전 27
 
4.7%
리 27
 
4.7%
남 27
 
4.7%
군 27
 
4.7%
라 27
 
4.7%
1 26
 
4.5%
Other values (54) 221
38.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 345
59.5%
Space Separator 109
 
18.8%
Decimal Number 104
 
17.9%
Dash Punctuation 22
 
3.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 32
 
9.3%
신 29
 
8.4%
안 28
 
8.1%
전 27
 
7.8%
리 27
 
7.8%
남 27
 
7.8%
군 27
 
7.8%
라 27
 
7.8%
면 20
 
5.8%
읍 9
 
2.6%
Other values (42) 92
26.7%
Decimal Number
ValueCountFrequency (%)
1 26
25.0%
2 14
13.5%
3 11
10.6%
7 10
 
9.6%
9 9
 
8.7%
4 9
 
8.7%
5 8
 
7.7%
6 7
 
6.7%
8 6
 
5.8%
0 4
 
3.8%
Space Separator
ValueCountFrequency (%)
109
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 345
59.5%
Common 235
40.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 32
 
9.3%
신 29
 
8.4%
안 28
 
8.1%
전 27
 
7.8%
리 27
 
7.8%
남 27
 
7.8%
군 27
 
7.8%
라 27
 
7.8%
면 20
 
5.8%
읍 9
 
2.6%
Other values (42) 92
26.7%
Common
ValueCountFrequency (%)
109
46.4%
1 26
 
11.1%
- 22
 
9.4%
2 14
 
6.0%
3 11
 
4.7%
7 10
 
4.3%
9 9
 
3.8%
4 9
 
3.8%
5 8
 
3.4%
6 7
 
3.0%
Other values (2) 10
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 345
59.5%
ASCII 235
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
109
46.4%
1 26
 
11.1%
- 22
 
9.4%
2 14
 
6.0%
3 11
 
4.7%
7 10
 
4.3%
9 9
 
3.8%
4 9
 
3.8%
5 8
 
3.4%
6 7
 
3.0%
Other values (2) 10
 
4.3%
Hangul
ValueCountFrequency (%)
도 32
 
9.3%
신 29
 
8.4%
안 28
 
8.1%
전 27
 
7.8%
리 27
 
7.8%
남 27
 
7.8%
군 27
 
7.8%
라 27
 
7.8%
면 20
 
5.8%
읍 9
 
2.6%
Other values (42) 92
26.7%

위도
Real number (ℝ)

Distinct24
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.843927
Minimum34.601766
Maximum35.085658
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T10:55:39.533421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.601766
5-th percentile34.6174
Q134.750576
median34.827845
Q334.963584
95-th percentile35.085653
Maximum35.085658
Range0.48389182
Interquartile range (IQR)0.21300841

Descriptive statistics

Standard deviation0.15483137
Coefficient of variation (CV)0.0044435684
Kurtosis-0.94580265
Mean34.843927
Median Absolute Deviation (MAD)0.082066077
Skewness0.3942603
Sum940.78604
Variance0.023972754
MonotonicityNot monotonic
2023-12-12T10:55:39.707324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
34.7832545155 2
 
7.4%
34.7553731815 2
 
7.4%
35.0856526503 2
 
7.4%
34.6827353315 1
 
3.7%
34.8406548649 1
 
3.7%
34.7713327099 1
 
3.7%
34.8846463099 1
 
3.7%
35.0529508986 1
 
3.7%
34.7222495921 1
 
3.7%
35.0425226393 1
 
3.7%
Other values (14) 14
51.9%
ValueCountFrequency (%)
34.6017660928 1
3.7%
34.6073332341 1
3.7%
34.6408894225 1
3.7%
34.6827353315 1
3.7%
34.7140967882 1
3.7%
34.7222495921 1
3.7%
34.7457789472 1
3.7%
34.7553731815 2
7.4%
34.7607011089 1
3.7%
34.7713327099 1
3.7%
ValueCountFrequency (%)
35.085657915 1
3.7%
35.0856526503 2
7.4%
35.0833306217 1
3.7%
35.0580487727 1
3.7%
35.0529508986 1
3.7%
35.0425226393 1
3.7%
34.8846463099 1
3.7%
34.868166073 1
3.7%
34.8665483 1
3.7%
34.8520242342 1
3.7%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct24
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.08774
Minimum125.44329
Maximum126.35399
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T10:55:39.884045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum125.44329
5-th percentile125.92167
Q1126.0368
median126.11285
Q3126.16408
95-th percentile126.31246
Maximum126.35399
Range0.91070514
Interquartile range (IQR)0.1272829

Descriptive statistics

Standard deviation0.17646886
Coefficient of variation (CV)0.0013995719
Kurtosis5.9854868
Mean126.08774
Median Absolute Deviation (MAD)0.074933645
Skewness-1.7848898
Sum3404.369
Variance0.03114126
MonotonicityNot monotonic
2023-12-12T10:55:40.074281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
126.14399873 2
 
7.4%
125.925770207 2
 
7.4%
126.1122344527 2
 
7.4%
125.4432868779 1
 
3.7%
126.3539920143 1
 
3.7%
126.1384460707 1
 
3.7%
126.0476050187 1
 
3.7%
126.2578863043 1
 
3.7%
125.9325064221 1
 
3.7%
126.1817083947 1
 
3.7%
Other values (14) 14
51.9%
ValueCountFrequency (%)
125.4432868779 1
3.7%
125.9199184629 1
3.7%
125.925770207 2
7.4%
125.9325064221 1
3.7%
125.9355346765 1
3.7%
126.0356833646 1
3.7%
126.0379130976 1
3.7%
126.0476050187 1
3.7%
126.060212 1
3.7%
126.1085170461 1
3.7%
ValueCountFrequency (%)
126.3539920143 1
3.7%
126.3145860657 1
3.7%
126.3075041652 1
3.7%
126.2578863043 1
3.7%
126.2412227193 1
3.7%
126.1878036736 1
3.7%
126.1817083947 1
3.7%
126.1464538742 1
3.7%
126.14399873 2
7.4%
126.1384460707 1
3.7%

전화번호
Text

Distinct25
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-12T10:55:40.349958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters324
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

Unique23 ?
Unique (%)85.2%

Sample

1st row061-246-4894
2nd row061-262-9414
3rd row061-246-1008
4th row061-275-7185
5th row061-261-3341
ValueCountFrequency (%)
061-271-4147 2
 
7.4%
061-275-1155 2
 
7.4%
061-271-7337 1
 
3.7%
061-246-4894 1
 
3.7%
061-262-8081 1
 
3.7%
061-261-3129 1
 
3.7%
061-262-0691 1
 
3.7%
061-262-0988 1
 
3.7%
061-262-3302 1
 
3.7%
061-275-7366 1
 
3.7%
Other values (15) 15
55.6%
2023-12-12T10:55:40.768732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 59
18.2%
- 54
16.7%
6 46
14.2%
0 43
13.3%
2 37
11.4%
7 24
7.4%
5 17
 
5.2%
8 13
 
4.0%
3 13
 
4.0%
4 11
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 270
83.3%
Dash Punctuation 54
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 59
21.9%
6 46
17.0%
0 43
15.9%
2 37
13.7%
7 24
8.9%
5 17
 
6.3%
8 13
 
4.8%
3 13
 
4.8%
4 11
 
4.1%
9 7
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 324
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 59
18.2%
- 54
16.7%
6 46
14.2%
0 43
13.3%
2 37
11.4%
7 24
7.4%
5 17
 
5.2%
8 13
 
4.0%
3 13
 
4.0%
4 11
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 324
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 59
18.2%
- 54
16.7%
6 46
14.2%
0 43
13.3%
2 37
11.4%
7 24
7.4%
5 17
 
5.2%
8 13
 
4.0%
3 13
 
4.0%
4 11
 
3.4%

급여종류
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Memory size348.0 B
방문요양+방문목욕
12 
시설급여
9 
방문요양
4 
주야간보호
2 

Length

Max length9
Median length5
Mean length6.2962963
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row방문요양+방문목욕
2nd row방문요양+방문목욕
3rd row방문요양+방문목욕
4th row방문요양+방문목욕
5th row방문요양+방문목욕

Common Values

ValueCountFrequency (%)
방문요양+방문목욕 12
44.4%
시설급여 9
33.3%
방문요양 4
 
14.8%
주야간보호 2
 
7.4%

Length

2023-12-12T10:55:40.956914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:55:41.086915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
방문요양+방문목욕 12
44.4%
시설급여 9
33.3%
방문요양 4
 
14.8%
주야간보호 2
 
7.4%

입소정원
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct6
Distinct (%)66.7%
Missing18
Missing (%)66.7%
Infinite0
Infinite (%)0.0%
Mean22.444444
Minimum9
Maximum80
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T10:55:41.223158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile9
Q19
median18
Q322
95-th percentile58
Maximum80
Range71
Interquartile range (IQR)13

Descriptive statistics

Standard deviation22.539472
Coefficient of variation (CV)1.0042339
Kurtosis6.9534394
Mean22.444444
Median Absolute Deviation (MAD)9
Skewness2.5385214
Sum202
Variance508.02778
MonotonicityNot monotonic
2023-12-12T10:55:41.375814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
9 4
 
14.8%
80 1
 
3.7%
25 1
 
3.7%
21 1
 
3.7%
18 1
 
3.7%
22 1
 
3.7%
(Missing) 18
66.7%
ValueCountFrequency (%)
9 4
14.8%
18 1
 
3.7%
21 1
 
3.7%
22 1
 
3.7%
25 1
 
3.7%
80 1
 
3.7%
ValueCountFrequency (%)
80 1
 
3.7%
25 1
 
3.7%
22 1
 
3.7%
21 1
 
3.7%
18 1
 
3.7%
9 4
14.8%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-05-21
27 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-05-21
2nd row2023-05-21
3rd row2023-05-21
4th row2023-05-21
5th row2023-05-21

Common Values

ValueCountFrequency (%)
2023-05-21 27
100.0%

Length

2023-12-12T10:55:41.543736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:55:41.670005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-05-21 27
100.0%

Interactions

2023-12-12T10:55:35.652442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:55:33.861088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:55:34.708202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:55:35.196107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:55:35.782811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:55:33.953483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:55:34.828715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:55:35.304360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:55:35.933241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:55:34.475749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:55:34.952720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:55:35.424934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:55:36.078662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:55:34.577524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:55:35.061139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:55:35.531665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T10:55:41.756361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설유형시설명시설소재지도로명주소시설소재지지번주소위도경도전화번호급여종류입소정원
연번1.0000.9901.0000.7120.7120.0000.0000.7800.8610.945
시설유형0.9901.0001.0000.0000.0000.0000.0000.0001.000NaN
시설명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
시설소재지도로명주소0.7120.0001.0001.0001.0001.0001.0001.0000.8601.000
시설소재지지번주소0.7120.0001.0001.0001.0001.0001.0001.0000.8601.000
위도0.0000.0001.0001.0001.0001.0000.7951.0000.1960.609
경도0.0000.0001.0001.0001.0000.7951.0001.0000.0000.641
전화번호0.7800.0001.0001.0001.0001.0001.0001.0000.8551.000
급여종류0.8611.0001.0000.8600.8600.1960.0000.8551.000NaN
입소정원0.945NaN1.0001.0001.0000.6090.6411.000NaN1.000
2023-12-12T10:55:41.920209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설유형급여종류
시설유형1.0000.959
급여종류0.9591.000
2023-12-12T10:55:42.033533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도입소정원시설유형급여종류
연번1.0000.2520.140-0.9050.7510.536
위도0.2521.0000.4800.0870.0000.081
경도0.1400.4801.0000.7750.0000.000
입소정원-0.9050.0870.7751.0001.0001.000
시설유형0.7510.0000.0001.0001.0000.959
급여종류0.5360.0810.0001.0000.9591.000

Missing values

2023-12-12T10:55:36.303876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T10:55:36.511490image/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

연번시설유형시설명시설소재지도로명주소시설소재지지번주소위도경도전화번호급여종류입소정원데이터기준일자
01재가시설흑산재가복지요양센터전라남도 신안군 흑산면 흑산일주로 2637전라남도 신안군 흑산면 예리 산 98-1234.682735125.443287061-246-4894방문요양+방문목욕<NA>2023-05-21
12재가시설늘푸른재가복지센터전라남도 신안군 자은면 중부로 2606-7전라남도 신안군 자은면 유각리 245-334.866548126.060212061-262-9414방문요양+방문목욕<NA>2023-05-21
23재가시설전남재가복지센터전라남도 신안군 장산면 장산로 315-15전라남도 신안군 장산면 대리 397-134.640889126.146454061-246-1008방문요양+방문목욕<NA>2023-05-21
34재가시설사랑재가복지센터전라남도 신안군 임자면 임자로 129-2전라남도 신안군 임자면 진리 431-2635.085658126.108517061-275-7185방문요양+방문목욕<NA>2023-05-21
45재가시설효다함재가복지센터전라남도 신안군 하의면 곰실길 11-12전라남도 신안군 하의면 웅곡리 242-1534.607333126.037913061-261-3341방문요양+방문목욕<NA>2023-05-21
56재가시설누리봄 노인주간보호센터전라남도 신안군 암태면 중부로 1801-11전라남도 신안군 암태면 단고리 27-3834.827845126.112986061-261-1330주야간보호<NA>2023-05-21
67재가시설행복65지도 노인복지센터전라남도 신안군 지도읍 동천길 1083-1전라남도 신안군 지도읍 자동리 111035.058049126.241223061-261-6565주야간보호<NA>2023-05-21
78재가시설팔금노인복지센터전라남도 신안군 팔금면 탑목개길 162-10전라남도 신안군 팔금면 읍리 111-134.783255126.143999061-271-4147방문요양+방문목욕<NA>2023-05-21
89재가시설㈜남도노인복지센터전라남도 신안군 안좌면 중부로 747전라남도 신안군 안좌면 창마리 295-734.745779126.128389061-261-0713방문요양+방문목욕<NA>2023-05-21
910재가시설빛과소금재가복지센터전라남도 신안군 비금면 읍동길 15-12전라남도 신안군 비금면 덕산리 109-134.755373125.92577061-275-8881방문요양+방문목욕<NA>2023-05-21
연번시설유형시설명시설소재지도로명주소시설소재지지번주소위도경도전화번호급여종류입소정원데이터기준일자
1718재가시설새생명 재가센터전라남도 신안군 지도읍 백련길 73전라남도 신안군 지도읍 감정리 74835.083331126.187804061-275-2701방문요양<NA>2023-05-21
1819생활시설신안군노인전문요양원전라남도 신안군 압해읍 구항길 92-62전라남도 신안군 압해읍 동서리 69-19634.852024126.314586061-271-6100시설급여802023-05-21
1920생활시설팔금천사의집 노인요양원전라남도 신안군 팔금면 탑목개길 162-10전라남도 신안군 팔금면 읍리 111-134.783255126.143999061-271-4147시설급여252023-05-21
2021생활시설지도노인요양원전라남도 신안군 지도읍 사옥길 111전라남도 신안군 지도읍 탄동리 87435.042523126.181708061-275-7366시설급여212023-05-21
2122생활시설신안대우요양원전라남도 신안군 비금면 송치길 155-11전라남도 신안군 비금면 수대리 57-334.72225125.932506061-262-3302시설급여182023-05-21
2223생활시설수호천사요양원전라남도 신안군 지도읍 동천길 36전라남도 신안군 지도읍 자동리 426-335.052951126.257886061-262-0988시설급여222023-05-21
2324생활시설비금노인요양공동생활가정전라남도 신안군 비금면 읍동길 15-12전라남도 신안군 비금면 덕산리 109-134.755373125.92577061-262-0691시설급여92023-05-21
2425생활시설임자노인요양공동생활가정전라남도 신안군 임자면 진리길 17-3전라남도 신안군 임자면 진리 475-135.085653126.112234061-275-1155시설급여92023-05-21
2526생활시설자은노인요양공동생활가정전라남도 신안군 자은면 구영1길 8전라남도 신안군 자은면 구영리 393-634.884646126.047605061-261-3129시설급여92023-05-21
2627생활시설한가족실버홈전라남도 신안군 팔금면 소금목길 26-2전라남도 신안군 팔금면 장촌리 62634.771333126.138446061-271-5050시설급여92023-05-21