Overview

Dataset statistics

Number of variables10
Number of observations52
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.3 KiB
Average record size in memory85.5 B

Variable types

Numeric3
Categorical2
Text4
DateTime1

Dataset

Description금산군 관내 노인복지시설에 대한 데이터로 시설유형, 시설명, 소재지, 위도, 경도, 전화번호 등에 대한 정보를 제공합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=33&beforeMenuCd=DOM_000000201001001000&publicdatapk=15117910

Alerts

데이터기준일 has constant value ""Constant
시설유형 is highly overall correlated with 시설종류High correlation
시설종류 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
연번 is highly overall correlated with 시설종류High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2024-01-09 19:47:35.650032
Analysis finished2024-01-09 19:47:36.927681
Duration1.28 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.5
Minimum1
Maximum52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2024-01-10T04:47:36.982931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.55
Q113.75
median26.5
Q339.25
95-th percentile49.45
Maximum52
Range51
Interquartile range (IQR)25.5

Descriptive statistics

Standard deviation15.154757
Coefficient of variation (CV)0.57187763
Kurtosis-1.2
Mean26.5
Median Absolute Deviation (MAD)13
Skewness0
Sum1378
Variance229.66667
MonotonicityStrictly increasing
2024-01-10T04:47:37.085876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.9%
28 1
 
1.9%
30 1
 
1.9%
31 1
 
1.9%
32 1
 
1.9%
33 1
 
1.9%
34 1
 
1.9%
35 1
 
1.9%
36 1
 
1.9%
37 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
1 1
1.9%
2 1
1.9%
3 1
1.9%
4 1
1.9%
5 1
1.9%
6 1
1.9%
7 1
1.9%
8 1
1.9%
9 1
1.9%
10 1
1.9%
ValueCountFrequency (%)
52 1
1.9%
51 1
1.9%
50 1
1.9%
49 1
1.9%
48 1
1.9%
47 1
1.9%
46 1
1.9%
45 1
1.9%
44 1
1.9%
43 1
1.9%

시설유형
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size548.0 B
재가노인복지시설
26 
노인의료복지시설
24 
노인주거복지시설
 
1
노인일자리지원기관
 
1

Length

Max length9
Median length8
Mean length8.0192308
Min length8

Unique

Unique2 ?
Unique (%)3.8%

Sample

1st row노인주거복지시설
2nd row노인의료복지시설
3rd row노인의료복지시설
4th row노인의료복지시설
5th row노인의료복지시설

Common Values

ValueCountFrequency (%)
재가노인복지시설 26
50.0%
노인의료복지시설 24
46.2%
노인주거복지시설 1
 
1.9%
노인일자리지원기관 1
 
1.9%

Length

2024-01-10T04:47:37.181765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T04:47:37.257107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
재가노인복지시설 26
50.0%
노인의료복지시설 24
46.2%
노인주거복지시설 1
 
1.9%
노인일자리지원기관 1
 
1.9%

시설종류
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Memory size548.0 B
재가노인복지시설
26 
노인요양공동생활가정
16 
노인요양시설
8 
노인공동생활가정
 
1
노인일자리지원기관
 
1

Length

Max length10
Median length8
Mean length8.3269231
Min length6

Unique

Unique2 ?
Unique (%)3.8%

Sample

1st row노인공동생활가정
2nd row노인요양시설
3rd row노인요양시설
4th row노인요양시설
5th row노인요양시설

Common Values

ValueCountFrequency (%)
재가노인복지시설 26
50.0%
노인요양공동생활가정 16
30.8%
노인요양시설 8
 
15.4%
노인공동생활가정 1
 
1.9%
노인일자리지원기관 1
 
1.9%

Length

2024-01-10T04:47:37.363064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T04:47:37.448150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
재가노인복지시설 26
50.0%
노인요양공동생활가정 16
30.8%
노인요양시설 8
 
15.4%
노인공동생활가정 1
 
1.9%
노인일자리지원기관 1
 
1.9%

시설명
Text

Distinct49
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Memory size548.0 B
2024-01-10T04:47:37.621762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length17
Mean length7.75
Min length4

Characters and Unicode

Total characters403
Distinct characters111
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)88.5%

Sample

1st row축복의동산양로원
2nd row금산실버타운홍익원
3rd row나눔의 집
4th row금산무지개요양원
5th row장기요양기관 사회복지법인 인삼골건강마을
ValueCountFrequency (%)
동행랜드 4
 
6.3%
새금산실버케어 2
 
3.2%
그린동 2
 
3.2%
핑크동 2
 
3.2%
재가복지센터 1
 
1.6%
새금산복지용구 1
 
1.6%
축복의동산양로원 1
 
1.6%
금산군치매주간보호센터 1
 
1.6%
성심주간보호센터 1
 
1.6%
신나는주간보호센터 1
 
1.6%
Other values (47) 47
74.6%
2024-01-10T04:47:38.121007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
센 22
 
5.5%
터 22
 
5.5%
산 18
 
4.5%
원 16
 
4.0%
금 15
 
3.7%
양 15
 
3.7%
요 14
 
3.5%
지 14
 
3.5%
복 14
 
3.5%
11
 
2.7%
Other values (101) 242
60.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 388
96.3%
Space Separator 11
 
2.7%
Decimal Number 4
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
센 22
 
5.7%
터 22
 
5.7%
산 18
 
4.6%
원 16
 
4.1%
금 15
 
3.9%
양 15
 
3.9%
요 14
 
3.6%
지 14
 
3.6%
복 14
 
3.6%
동 10
 
2.6%
Other values (97) 228
58.8%
Decimal Number
ValueCountFrequency (%)
0 2
50.0%
1 1
25.0%
2 1
25.0%
Space Separator
ValueCountFrequency (%)
11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 388
96.3%
Common 15
 
3.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
센 22
 
5.7%
터 22
 
5.7%
산 18
 
4.6%
원 16
 
4.1%
금 15
 
3.9%
양 15
 
3.9%
요 14
 
3.6%
지 14
 
3.6%
복 14
 
3.6%
동 10
 
2.6%
Other values (97) 228
58.8%
Common
ValueCountFrequency (%)
11
73.3%
0 2
 
13.3%
1 1
 
6.7%
2 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 388
96.3%
ASCII 15
 
3.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
센 22
 
5.7%
터 22
 
5.7%
산 18
 
4.6%
원 16
 
4.1%
금 15
 
3.9%
양 15
 
3.9%
요 14
 
3.6%
지 14
 
3.6%
복 14
 
3.6%
동 10
 
2.6%
Other values (97) 228
58.8%
ASCII
ValueCountFrequency (%)
11
73.3%
0 2
 
13.3%
1 1
 
6.7%
2 1
 
6.7%

소재지 지번 주소
Text

Distinct38
Distinct (%)73.1%
Missing0
Missing (%)0.0%
Memory size548.0 B
2024-01-10T04:47:38.303571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length21.423077
Min length19

Characters and Unicode

Total characters1114
Distinct characters58
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

Unique30 ?
Unique (%)57.7%

Sample

1st row충청남도 금산군 제원면 명암리 90-6
2nd row충청남도 금산군 금산읍 상리 34-13
3rd row충청남도 금산군 금성면 화림리 411-2
4th row충청남도 금산군 금산읍 상리 34-13
5th row충청남도 금산군 금산읍 계진리 273
ValueCountFrequency (%)
충청남도 52
20.0%
금산군 52
20.0%
금산읍 30
 
11.5%
상리 17
 
6.5%
아인리 6
 
2.3%
177-10 5
 
1.9%
군북면 5
 
1.9%
복수면 5
 
1.9%
상곡리 4
 
1.5%
948-4 4
 
1.5%
Other values (58) 80
30.8%
2024-01-10T04:47:38.602412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
208
18.7%
금 85
 
7.6%
산 84
 
7.5%
군 57
 
5.1%
도 55
 
4.9%
리 54
 
4.8%
남 53
 
4.8%
충 52
 
4.7%
청 52
 
4.7%
- 44
 
3.9%
Other values (48) 370
33.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 659
59.2%
Space Separator 208
 
18.7%
Decimal Number 203
 
18.2%
Dash Punctuation 44
 
3.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
금 85
12.9%
산 84
12.7%
군 57
8.6%
도 55
8.3%
리 54
8.2%
남 53
8.0%
충 52
7.9%
청 52
7.9%
읍 30
 
4.6%
상 22
 
3.3%
Other values (36) 115
17.5%
Decimal Number
ValueCountFrequency (%)
1 39
19.2%
2 24
11.8%
3 24
11.8%
7 23
11.3%
6 23
11.3%
4 22
10.8%
8 13
 
6.4%
5 13
 
6.4%
0 11
 
5.4%
9 11
 
5.4%
Space Separator
ValueCountFrequency (%)
208
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 659
59.2%
Common 455
40.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
금 85
12.9%
산 84
12.7%
군 57
8.6%
도 55
8.3%
리 54
8.2%
남 53
8.0%
충 52
7.9%
청 52
7.9%
읍 30
 
4.6%
상 22
 
3.3%
Other values (36) 115
17.5%
Common
ValueCountFrequency (%)
208
45.7%
- 44
 
9.7%
1 39
 
8.6%
2 24
 
5.3%
3 24
 
5.3%
7 23
 
5.1%
6 23
 
5.1%
4 22
 
4.8%
8 13
 
2.9%
5 13
 
2.9%
Other values (2) 22
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 659
59.2%
ASCII 455
40.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
208
45.7%
- 44
 
9.7%
1 39
 
8.6%
2 24
 
5.3%
3 24
 
5.3%
7 23
 
5.1%
6 23
 
5.1%
4 22
 
4.8%
8 13
 
2.9%
5 13
 
2.9%
Other values (2) 22
 
4.8%
Hangul
ValueCountFrequency (%)
금 85
12.9%
산 84
12.7%
군 57
8.6%
도 55
8.3%
리 54
8.2%
남 53
8.0%
충 52
7.9%
청 52
7.9%
읍 30
 
4.6%
상 22
 
3.3%
Other values (36) 115
17.5%

소재지 도로명 주소
Text

Distinct44
Distinct (%)84.6%
Missing0
Missing (%)0.0%
Memory size548.0 B
2024-01-10T04:47:38.804745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length31
Mean length22
Min length18

Characters and Unicode

Total characters1144
Distinct characters88
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

Unique38 ?
Unique (%)73.1%

Sample

1st row충청남도 금산군 제원면 흰바우길 171
2nd row충청남도 금산군 금산읍 후곤천길 73 (디엔에스프라자(4층, 5층))
3rd row충청남도 금산군 금성면 화엄로 173-27
4th row충청남도 금산군 금산읍 후곤천길 73, 6층, 7층
5th row충청남도 금산군 금산읍 족실1길 10
ValueCountFrequency (%)
충청남도 52
19.0%
금산군 52
19.0%
금산읍 30
 
11.0%
오리정1길 6
 
2.2%
비단로 5
 
1.8%
41 5
 
1.8%
군북면 5
 
1.8%
복수면 5
 
1.8%
인삼로 4
 
1.5%
2층 4
 
1.5%
Other values (76) 105
38.5%
2024-01-10T04:47:39.119816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
221
19.3%
금 89
 
7.8%
산 88
 
7.7%
군 57
 
5.0%
남 55
 
4.8%
충 52
 
4.5%
도 52
 
4.5%
청 52
 
4.5%
1 40
 
3.5%
길 31
 
2.7%
Other values (78) 407
35.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 727
63.5%
Space Separator 221
 
19.3%
Decimal Number 167
 
14.6%
Dash Punctuation 11
 
1.0%
Other Punctuation 8
 
0.7%
Open Punctuation 5
 
0.4%
Close Punctuation 5
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
금 89
12.2%
산 88
12.1%
군 57
 
7.8%
남 55
 
7.6%
충 52
 
7.2%
도 52
 
7.2%
청 52
 
7.2%
길 31
 
4.3%
읍 30
 
4.1%
면 22
 
3.0%
Other values (63) 199
27.4%
Decimal Number
ValueCountFrequency (%)
1 40
24.0%
2 26
15.6%
4 23
13.8%
3 19
11.4%
5 14
 
8.4%
8 12
 
7.2%
0 10
 
6.0%
7 10
 
6.0%
6 10
 
6.0%
9 3
 
1.8%
Space Separator
ValueCountFrequency (%)
221
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 727
63.5%
Common 417
36.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
금 89
12.2%
산 88
12.1%
군 57
 
7.8%
남 55
 
7.6%
충 52
 
7.2%
도 52
 
7.2%
청 52
 
7.2%
길 31
 
4.3%
읍 30
 
4.1%
면 22
 
3.0%
Other values (63) 199
27.4%
Common
ValueCountFrequency (%)
221
53.0%
1 40
 
9.6%
2 26
 
6.2%
4 23
 
5.5%
3 19
 
4.6%
5 14
 
3.4%
8 12
 
2.9%
- 11
 
2.6%
0 10
 
2.4%
7 10
 
2.4%
Other values (5) 31
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 727
63.5%
ASCII 417
36.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
221
53.0%
1 40
 
9.6%
2 26
 
6.2%
4 23
 
5.5%
3 19
 
4.6%
5 14
 
3.4%
8 12
 
2.9%
- 11
 
2.6%
0 10
 
2.4%
7 10
 
2.4%
Other values (5) 31
 
7.4%
Hangul
ValueCountFrequency (%)
금 89
12.2%
산 88
12.1%
군 57
 
7.8%
남 55
 
7.6%
충 52
 
7.2%
도 52
 
7.2%
청 52
 
7.2%
길 31
 
4.3%
읍 30
 
4.1%
면 22
 
3.0%
Other values (63) 199
27.4%

위도
Real number (ℝ)

Distinct40
Distinct (%)76.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.126858
Minimum36.031244
Maximum36.221208
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2024-01-10T04:47:39.223708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.031244
5-th percentile36.091216
Q136.103566
median36.106251
Q336.157189
95-th percentile36.221204
Maximum36.221208
Range0.189964
Interquartile range (IQR)0.05362325

Descriptive statistics

Standard deviation0.045125489
Coefficient of variation (CV)0.0012490842
Kurtosis0.0090157742
Mean36.126858
Median Absolute Deviation (MAD)0.002932
Skewness0.85295525
Sum1878.5966
Variance0.0020363098
MonotonicityNot monotonic
2024-01-10T04:47:39.324231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
36.104915 5
 
9.6%
36.103319 3
 
5.8%
36.105698 2
 
3.8%
36.221204 2
 
3.8%
36.157189 2
 
3.8%
36.221208 2
 
3.8%
36.105978 2
 
3.8%
36.107963 2
 
3.8%
36.108719 1
 
1.9%
36.199229 1
 
1.9%
Other values (30) 30
57.7%
ValueCountFrequency (%)
36.031244 1
 
1.9%
36.048915 1
 
1.9%
36.089516 1
 
1.9%
36.092607 1
 
1.9%
36.095923 1
 
1.9%
36.099069 1
 
1.9%
36.101342 1
 
1.9%
36.102963 1
 
1.9%
36.103319 3
5.8%
36.103503 1
 
1.9%
ValueCountFrequency (%)
36.221208 2
3.8%
36.221204 2
3.8%
36.204617 1
1.9%
36.200839 1
1.9%
36.199229 1
1.9%
36.192682 1
1.9%
36.18546 1
1.9%
36.182568 1
1.9%
36.180194 1
1.9%
36.17975 1
1.9%

경도
Real number (ℝ)

Distinct40
Distinct (%)76.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.48291
Minimum127.36884
Maximum127.56587
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2024-01-10T04:47:39.428496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.36884
5-th percentile127.38045
Q1127.47168
median127.48772
Q3127.49096
95-th percentile127.56587
Maximum127.56587
Range0.197035
Interquartile range (IQR)0.01927925

Descriptive statistics

Standard deviation0.046754021
Coefficient of variation (CV)0.00036674737
Kurtosis0.84594055
Mean127.48291
Median Absolute Deviation (MAD)0.007542
Skewness-0.42679329
Sum6629.1112
Variance0.0021859384
MonotonicityNot monotonic
2024-01-10T04:47:39.536035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
127.487723 5
 
9.6%
127.488936 3
 
5.8%
127.49032 2
 
3.8%
127.56587 2
 
3.8%
127.420569 2
 
3.8%
127.565867 2
 
3.8%
127.489767 2
 
3.8%
127.480181 2
 
3.8%
127.492944 1
 
1.9%
127.46869 1
 
1.9%
Other values (30) 30
57.7%
ValueCountFrequency (%)
127.368835 1
1.9%
127.371133 1
1.9%
127.378609 1
1.9%
127.381961 1
1.9%
127.420569 2
3.8%
127.43814 1
1.9%
127.438288 1
1.9%
127.441997 1
1.9%
127.451634 1
1.9%
127.461965 1
1.9%
ValueCountFrequency (%)
127.56587 2
3.8%
127.565867 2
3.8%
127.559665 1
1.9%
127.554208 1
1.9%
127.542114 1
1.9%
127.541761 1
1.9%
127.53773 1
1.9%
127.496322 1
1.9%
127.492944 1
1.9%
127.491287 1
1.9%

전화번호
Text

Distinct43
Distinct (%)82.7%
Missing0
Missing (%)0.0%
Memory size548.0 B
2024-01-10T04:47:39.703850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.019231
Min length12

Characters and Unicode

Total characters625
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

Unique36 ?
Unique (%)69.2%

Sample

1st row041-754-5592
2nd row041-751-9999
3rd row041-751-0068
4th row041-751-5551
5th row041-753-7407
ValueCountFrequency (%)
041-752-6090 4
 
7.7%
041-751-1000 2
 
3.8%
041-753-9900 2
 
3.8%
041-751-4450 2
 
3.8%
041-753-0044 2
 
3.8%
041-754-5592 2
 
3.8%
041-754-6474 2
 
3.8%
041-752-5259 1
 
1.9%
041-753-3808 1
 
1.9%
041-753-2301 1
 
1.9%
Other values (33) 33
63.5%
2024-01-10T04:47:39.973209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 104
16.6%
0 102
16.3%
4 83
13.3%
1 80
12.8%
5 76
12.2%
7 68
10.9%
3 32
 
5.1%
9 29
 
4.6%
2 21
 
3.4%
8 17
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 521
83.4%
Dash Punctuation 104
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 102
19.6%
4 83
15.9%
1 80
15.4%
5 76
14.6%
7 68
13.1%
3 32
 
6.1%
9 29
 
5.6%
2 21
 
4.0%
8 17
 
3.3%
6 13
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 104
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 625
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 104
16.6%
0 102
16.3%
4 83
13.3%
1 80
12.8%
5 76
12.2%
7 68
10.9%
3 32
 
5.1%
9 29
 
4.6%
2 21
 
3.4%
8 17
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 625
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 104
16.6%
0 102
16.3%
4 83
13.3%
1 80
12.8%
5 76
12.2%
7 68
10.9%
3 32
 
5.1%
9 29
 
4.6%
2 21
 
3.4%
8 17
 
2.7%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size548.0 B
Minimum2023-08-07 00:00:00
Maximum2023-08-07 00:00:00
2024-01-10T04:47:40.063904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:47:40.128740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-01-10T04:47:36.500216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:47:36.082651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:47:36.279117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:47:36.573058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:47:36.141902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:47:36.350381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:47:36.656144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:47:36.209031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:47:36.423781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T04:47:40.185600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설유형시설종류시설명소재지 지번 주소소재지 도로명 주소위도경도전화번호
연번1.0000.7210.9080.7810.8030.7960.2110.3800.707
시설유형0.7211.0001.0000.9000.9560.9500.0000.4420.000
시설종류0.9081.0001.0000.9200.9560.9330.0000.3890.000
시설명0.7810.9000.9201.0001.0001.0001.0001.0001.000
소재지 지번 주소0.8030.9560.9561.0001.0001.0001.0001.0000.996
소재지 도로명 주소0.7960.9500.9331.0001.0001.0001.0001.0000.992
위도0.2110.0000.0001.0001.0001.0001.0000.8370.997
경도0.3800.4420.3891.0001.0001.0000.8371.0000.997
전화번호0.7070.0000.0001.0000.9960.9920.9970.9971.000
2024-01-10T04:47:40.270279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설유형시설종류
시설유형1.0000.990
시설종류0.9901.000
2024-01-10T04:47:40.333251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도시설유형시설종류
연번1.0000.0320.0630.4880.567
위도0.0321.000-0.1350.0000.000
경도0.063-0.1351.0000.1940.237
시설유형0.4880.0000.1941.0000.990
시설종류0.5670.0000.2370.9901.000

Missing values

2024-01-10T04:47:36.760248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T04:47:36.885917image/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

연번시설유형시설종류시설명소재지 지번 주소소재지 도로명 주소위도경도전화번호데이터기준일
01노인주거복지시설노인공동생활가정축복의동산양로원충청남도 금산군 제원면 명암리 90-6충청남도 금산군 제원면 흰바우길 17136.104054127.542114041-754-55922023-08-07
12노인의료복지시설노인요양시설금산실버타운홍익원충청남도 금산군 금산읍 상리 34-13충청남도 금산군 금산읍 후곤천길 73 (디엔에스프라자(4층, 5층))36.105698127.49032041-751-99992023-08-07
23노인의료복지시설노인요양시설나눔의 집충청남도 금산군 금성면 화림리 411-2충청남도 금산군 금성면 화엄로 173-2736.121396127.438288041-751-00682023-08-07
34노인의료복지시설노인요양시설금산무지개요양원충청남도 금산군 금산읍 상리 34-13충청남도 금산군 금산읍 후곤천길 73, 6층, 7층36.105698127.49032041-751-55512023-08-07
45노인의료복지시설노인요양시설장기요양기관 사회복지법인 인삼골건강마을충청남도 금산군 금산읍 계진리 273충청남도 금산군 금산읍 족실1길 1036.089516127.471371041-753-74072023-08-07
56노인의료복지시설노인요양시설만인산노인요양원충청남도 금산군 추부면 용지리 129-21충청남도 금산군 추부면 못골로 11536.180194127.461965070-4251-79992023-08-07
67노인의료복지시설노인요양시설평화요양원충청남도 금산군 금성면 화림리 70-27충청남도 금산군 금성면 양화길 13536.108431127.43814041-753-38082023-08-07
78노인의료복지시설노인요양시설추부요양원충청남도 금산군 복수면 다복리 361-2충청남도 금산군 복수면 다복동길 36-3336.157189127.420569041-754-64742023-08-07
89노인의료복지시설노인요양시설섬김요양원충청남도 금산군 복수면 백암리 426충청남도 금산군 복수면 복수로 45036.18546127.378609041-753-23012023-08-07
910노인의료복지시설노인요양공동생활가정소망의집충청남도 금산군 군북면 산안리 464-1충청남도 금산군 군북면 산꽃로 438-3536.192682127.554208041-752-42562023-08-07
연번시설유형시설종류시설명소재지 지번 주소소재지 도로명 주소위도경도전화번호데이터기준일
4243재가노인복지시설재가노인복지시설추부노인복지센터충청남도 금산군 복수면 다복리 361-2충청남도 금산군 복수면 다복동길 36-3336.157189127.420569041-754-64742023-08-07
4344재가노인복지시설재가노인복지시설기쁨제2주간보호센터충청남도 금산군 금산읍 아인리 622-1충청남도 금산군 금산읍 북사직5길 3336.111081127.482436041-751-44502023-08-07
4445재가노인복지시설재가노인복지시설미소주간보호센터충청남도 금산군 금산읍 계진리 179-1충청남도 금산군 금산읍 계진길 9736.092607127.473024041-753-33882023-08-07
4546재가노인복지시설재가노인복지시설탄탄복지센터충청남도 금산군 복수면 수영리 328-2충청남도 금산군 복수면 복수로 40136.182568127.381961041-751-97202023-08-07
4647재가노인복지시설재가노인복지시설황금재가복지센터충청남도 금산군 금산읍 상리 174-3충청남도 금산군 금산읍 오리정로 336.103503127.487653041-751-88702023-08-07
4748재가노인복지시설재가노인복지시설대둔산재가복지센터충청남도 금산군 진산면 막현리 63-1충청남도 금산군 진산면 숲정이1길 1136.204617127.368835041-751-74362023-08-07
4849재가노인복지시설재가노인복지시설금산주간보호센터충청남도 금산군 금산읍 상리 175-28충청남도 금산군 금산읍 인삼로 65 (701호 (엔이시티))36.103319127.488936041-753-00442023-08-07
4950재가노인복지시설재가노인복지시설금산무지개주간보호센터충청남도 금산군 금산읍 상리 176-11충청남도 금산군 금산읍 오리정1길 5236.104492127.488515041-753-95952023-08-07
5051재가노인복지시설재가노인복지시설동행랜드 핑크동충청남도 금산군 군북면 상곡리 948-4충청남도 금산군 군북면 황새목길 22-2236.221204127.56587041-752-60902023-08-07
5152노인일자리지원기관노인일자리지원기관금산시니어클럽충청남도 금산군 금산읍 상리 46-10충청남도 금산군 금산읍 금산로 1516, 2층36.108912127.490874041-751-12502023-08-07