Overview

Dataset statistics

Number of variables11
Number of observations31
Missing cells14
Missing cells (%)4.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.9 KiB
Average record size in memory96.3 B

Variable types

Numeric4
Categorical2
Text4
DateTime1

Dataset

Description보령시에 있는 노인복지시설(요양시설, 노인요양공동생활가정, 재가노인복지시설 등)의 시설명, 소재지 도로명 주소, 지번 주소, 위도, 경도, 정원, 전화번호 데이터를 제공합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=424&beforeMenuCd=DOM_000000201001001000&publicdatapk=15004673

Alerts

데이터기준일 has constant value ""Constant
시설유형 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
시설종류 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
연번 is highly overall correlated with 시설유형 and 1 other fieldsHigh correlation
위도 is highly overall correlated with 시설유형 and 1 other fieldsHigh correlation
정원 has 14 (45.2%) missing valuesMissing
연번 has unique valuesUnique
시설명 has unique valuesUnique

Reproduction

Analysis started2024-01-09 20:56:24.383053
Analysis finished2024-01-09 20:56:26.186767
Duration1.8 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16
Minimum1
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-01-10T05:56:26.240475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.5
Q18.5
median16
Q323.5
95-th percentile29.5
Maximum31
Range30
Interquartile range (IQR)15

Descriptive statistics

Standard deviation9.0921211
Coefficient of variation (CV)0.56825757
Kurtosis-1.2
Mean16
Median Absolute Deviation (MAD)8
Skewness0
Sum496
Variance82.666667
MonotonicityStrictly increasing
2024-01-10T05:56:26.343579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1 1
 
3.2%
2 1
 
3.2%
31 1
 
3.2%
30 1
 
3.2%
29 1
 
3.2%
28 1
 
3.2%
27 1
 
3.2%
26 1
 
3.2%
25 1
 
3.2%
24 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
1 1
3.2%
2 1
3.2%
3 1
3.2%
4 1
3.2%
5 1
3.2%
6 1
3.2%
7 1
3.2%
8 1
3.2%
9 1
3.2%
10 1
3.2%
ValueCountFrequency (%)
31 1
3.2%
30 1
3.2%
29 1
3.2%
28 1
3.2%
27 1
3.2%
26 1
3.2%
25 1
3.2%
24 1
3.2%
23 1
3.2%
22 1
3.2%

시설유형
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
재가노인복지시설
19 
노인의료복지시설
12 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
재가노인복지시설 19
61.3%
노인의료복지시설 12
38.7%

Length

2024-01-10T05:56:26.456072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:56:26.537538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
재가노인복지시설 19
61.3%
노인의료복지시설 12
38.7%

시설종류
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
재가노인복지시설
19 
노인요양시설
8 
노인요양공동생활가정
4 

Length

Max length10
Median length8
Mean length7.7419355
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
재가노인복지시설 19
61.3%
노인요양시설 8
25.8%
노인요양공동생활가정 4
 
12.9%

Length

2024-01-10T05:56:26.642227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:56:26.744437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
재가노인복지시설 19
61.3%
노인요양시설 8
25.8%
노인요양공동생활가정 4
 
12.9%

시설명
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2024-01-10T05:56:26.926034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length9.2580645
Min length4

Characters and Unicode

Total characters287
Distinct characters89
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

Unique31 ?
Unique (%)100.0%

Sample

1st row보령요양원
2nd row충청남도 도립요양원
3rd row보령실버홈
4th row소화데레사의집
5th row대천요양원
ValueCountFrequency (%)
노인요양공동생활가정 2
 
5.1%
보령요양원 1
 
2.6%
가온재가복지센터 1
 
2.6%
실버플러스보령복지센터 1
 
2.6%
행복방문요양센터 1
 
2.6%
동고동락재가복지센터 1
 
2.6%
효행재가복지방문요양센터 1
 
2.6%
대천주야간보호센터 1
 
2.6%
주)나눔복지센터 1
 
2.6%
청소주야간보호센터 1
 
2.6%
Other values (28) 28
71.8%
2024-01-10T05:56:27.251140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
터 19
 
6.6%
센 19
 
6.6%
보 14
 
4.9%
복 14
 
4.9%
지 12
 
4.2%
요 11
 
3.8%
양 11
 
3.8%
가 10
 
3.5%
령 8
 
2.8%
인 8
 
2.8%
Other values (79) 161
56.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 275
95.8%
Space Separator 8
 
2.8%
Close Punctuation 2
 
0.7%
Open Punctuation 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
터 19
 
6.9%
센 19
 
6.9%
보 14
 
5.1%
복 14
 
5.1%
지 12
 
4.4%
요 11
 
4.0%
양 11
 
4.0%
가 10
 
3.6%
령 8
 
2.9%
인 8
 
2.9%
Other values (76) 149
54.2%
Space Separator
ValueCountFrequency (%)
8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 275
95.8%
Common 12
 
4.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
터 19
 
6.9%
센 19
 
6.9%
보 14
 
5.1%
복 14
 
5.1%
지 12
 
4.4%
요 11
 
4.0%
양 11
 
4.0%
가 10
 
3.6%
령 8
 
2.9%
인 8
 
2.9%
Other values (76) 149
54.2%
Common
ValueCountFrequency (%)
8
66.7%
) 2
 
16.7%
( 2
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 275
95.8%
ASCII 12
 
4.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
터 19
 
6.9%
센 19
 
6.9%
보 14
 
5.1%
복 14
 
5.1%
지 12
 
4.4%
요 11
 
4.0%
양 11
 
4.0%
가 10
 
3.6%
령 8
 
2.9%
인 8
 
2.9%
Other values (76) 149
54.2%
ASCII
ValueCountFrequency (%)
8
66.7%
) 2
 
16.7%
( 2
 
16.7%

시설소재지 도로명 주소
Text

Distinct30
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size380.0 B
2024-01-10T05:56:27.465378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length28
Mean length24.064516
Min length20

Characters and Unicode

Total characters746
Distinct characters84
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

Unique29 ?
Unique (%)93.5%

Sample

1st row충청남도 보령시 남포면 보령남로 207
2nd row충청남도 보령시 주교면 척골길 233
3rd row충청남도 보령시 남포면 보령남로 205
4th row충청남도 보령시 대량비선재길 65-69 (신흑동)
5th row충청남도 보령시 성주면 성주산로 367
ValueCountFrequency (%)
충청남도 31
18.6%
보령시 31
18.6%
동대동 6
 
3.6%
청소면 4
 
2.4%
남포면 4
 
2.4%
웅천읍 3
 
1.8%
대천동 3
 
1.8%
명천동 3
 
1.8%
주교면 3
 
1.8%
주공로 3
 
1.8%
Other values (68) 76
45.5%
2024-01-10T05:56:27.841923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
136
18.2%
남 38
 
5.1%
청 35
 
4.7%
보 33
 
4.4%
령 33
 
4.4%
충 32
 
4.3%
도 31
 
4.2%
시 31
 
4.2%
2 24
 
3.2%
동 21
 
2.8%
Other values (74) 332
44.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 450
60.3%
Space Separator 136
 
18.2%
Decimal Number 115
 
15.4%
Open Punctuation 14
 
1.9%
Close Punctuation 14
 
1.9%
Other Punctuation 10
 
1.3%
Dash Punctuation 7
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 38
 
8.4%
청 35
 
7.8%
보 33
 
7.3%
령 33
 
7.3%
충 32
 
7.1%
도 31
 
6.9%
시 31
 
6.9%
동 21
 
4.7%
길 19
 
4.2%
면 14
 
3.1%
Other values (59) 163
36.2%
Decimal Number
ValueCountFrequency (%)
2 24
20.9%
3 20
17.4%
1 13
11.3%
5 13
11.3%
0 12
10.4%
6 10
8.7%
7 10
8.7%
4 6
 
5.2%
9 4
 
3.5%
8 3
 
2.6%
Space Separator
ValueCountFrequency (%)
136
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 450
60.3%
Common 296
39.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 38
 
8.4%
청 35
 
7.8%
보 33
 
7.3%
령 33
 
7.3%
충 32
 
7.1%
도 31
 
6.9%
시 31
 
6.9%
동 21
 
4.7%
길 19
 
4.2%
면 14
 
3.1%
Other values (59) 163
36.2%
Common
ValueCountFrequency (%)
136
45.9%
2 24
 
8.1%
3 20
 
6.8%
( 14
 
4.7%
) 14
 
4.7%
1 13
 
4.4%
5 13
 
4.4%
0 12
 
4.1%
6 10
 
3.4%
, 10
 
3.4%
Other values (5) 30
 
10.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 450
60.3%
ASCII 296
39.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
136
45.9%
2 24
 
8.1%
3 20
 
6.8%
( 14
 
4.7%
) 14
 
4.7%
1 13
 
4.4%
5 13
 
4.4%
0 12
 
4.1%
6 10
 
3.4%
, 10
 
3.4%
Other values (5) 30
 
10.1%
Hangul
ValueCountFrequency (%)
남 38
 
8.4%
청 35
 
7.8%
보 33
 
7.3%
령 33
 
7.3%
충 32
 
7.1%
도 31
 
6.9%
시 31
 
6.9%
동 21
 
4.7%
길 19
 
4.2%
면 14
 
3.1%
Other values (59) 163
36.2%

시설소재지 지번 주소
Text

Distinct30
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size380.0 B
2024-01-10T05:56:28.036385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21
Mean length19.774194
Min length16

Characters and Unicode

Total characters613
Distinct characters53
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

Unique29 ?
Unique (%)93.5%

Sample

1st row충청남도 보령시 남포면 창동리 560-1
2nd row충청남도 보령시 주교면 송학리 3-13
3rd row충청남도 보령시 남포면 창동리 560
4th row충청남도 보령시 신흑동 705-7
5th row충청남도 보령시 성주면 성주리 247-14
ValueCountFrequency (%)
충청남도 31
22.0%
보령시 31
22.0%
동대동 6
 
4.3%
남포면 4
 
2.8%
청소면 4
 
2.8%
신송리 3
 
2.1%
주교면 3
 
2.1%
명천동 3
 
2.1%
대천동 3
 
2.1%
웅천읍 3
 
2.1%
Other values (48) 50
35.5%
2024-01-10T05:56:28.340803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
110
17.9%
남 35
 
5.7%
청 35
 
5.7%
충 31
 
5.1%
도 31
 
5.1%
보 31
 
5.1%
령 31
 
5.1%
시 31
 
5.1%
1 24
 
3.9%
동 23
 
3.8%
Other values (43) 231
37.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 361
58.9%
Decimal Number 121
 
19.7%
Space Separator 110
 
17.9%
Dash Punctuation 21
 
3.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 35
9.7%
청 35
9.7%
충 31
 
8.6%
도 31
 
8.6%
보 31
 
8.6%
령 31
 
8.6%
시 31
 
8.6%
동 23
 
6.4%
리 17
 
4.7%
면 14
 
3.9%
Other values (31) 82
22.7%
Decimal Number
ValueCountFrequency (%)
1 24
19.8%
2 14
11.6%
7 14
11.6%
0 13
10.7%
6 13
10.7%
4 12
9.9%
3 11
9.1%
5 11
9.1%
9 5
 
4.1%
8 4
 
3.3%
Space Separator
ValueCountFrequency (%)
110
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 361
58.9%
Common 252
41.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 35
9.7%
청 35
9.7%
충 31
 
8.6%
도 31
 
8.6%
보 31
 
8.6%
령 31
 
8.6%
시 31
 
8.6%
동 23
 
6.4%
리 17
 
4.7%
면 14
 
3.9%
Other values (31) 82
22.7%
Common
ValueCountFrequency (%)
110
43.7%
1 24
 
9.5%
- 21
 
8.3%
2 14
 
5.6%
7 14
 
5.6%
0 13
 
5.2%
6 13
 
5.2%
4 12
 
4.8%
3 11
 
4.4%
5 11
 
4.4%
Other values (2) 9
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 361
58.9%
ASCII 252
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
110
43.7%
1 24
 
9.5%
- 21
 
8.3%
2 14
 
5.6%
7 14
 
5.6%
0 13
 
5.2%
6 13
 
5.2%
4 12
 
4.8%
3 11
 
4.4%
5 11
 
4.4%
Other values (2) 9
 
3.6%
Hangul
ValueCountFrequency (%)
남 35
9.7%
청 35
9.7%
충 31
 
8.6%
도 31
 
8.6%
보 31
 
8.6%
령 31
 
8.6%
시 31
 
8.6%
동 23
 
6.4%
리 17
 
4.7%
면 14
 
3.9%
Other values (31) 82
22.7%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct30
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.350433
Minimum36.198623
Maximum36.484177
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-01-10T05:56:28.453870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.198623
5-th percentile36.238646
Q136.326697
median36.348009
Q336.363329
95-th percentile36.469053
Maximum36.484177
Range0.28555448
Interquartile range (IQR)0.036631943

Descriptive statistics

Standard deviation0.068220473
Coefficient of variation (CV)0.0018767444
Kurtosis0.40644186
Mean36.350433
Median Absolute Deviation (MAD)0.021049451
Skewness0.070672456
Sum1126.8634
Variance0.0046540329
MonotonicityNot monotonic
2024-01-10T05:56:28.565911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
36.4689567109 2
 
6.5%
36.3264349881 1
 
3.2%
36.3520490185 1
 
3.2%
36.1986225191 1
 
3.2%
36.2465386929 1
 
3.2%
36.3470346469 1
 
3.2%
36.338416 1
 
3.2%
36.3493274427 1
 
3.2%
36.3533411 1
 
3.2%
36.3451688799 1
 
3.2%
Other values (20) 20
64.5%
ValueCountFrequency (%)
36.1986225191 1
3.2%
36.2366772869 1
3.2%
36.2406137288 1
3.2%
36.2465386929 1
3.2%
36.2849590824 1
3.2%
36.3167911157 1
3.2%
36.3233113498 1
3.2%
36.3264349881 1
3.2%
36.3269592341 1
3.2%
36.3374466112 1
3.2%
ValueCountFrequency (%)
36.484177 1
3.2%
36.4691483369 1
3.2%
36.4689567109 2
6.5%
36.4463442629 1
3.2%
36.3919400644 1
3.2%
36.3896661706 1
3.2%
36.3689726074 1
3.2%
36.3576855007 1
3.2%
36.3563990843 1
3.2%
36.35604917 1
3.2%

경도
Real number (ℝ)

Distinct30
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.59352
Minimum126.52889
Maximum126.65008
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-01-10T05:56:28.675568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.52889
5-th percentile126.54692
Q1126.58008
median126.60232
Q3126.60654
95-th percentile126.62727
Maximum126.65008
Range0.12118849
Interquartile range (IQR)0.026451038

Descriptive statistics

Standard deviation0.025387896
Coefficient of variation (CV)0.00020054657
Kurtosis1.0819566
Mean126.59352
Median Absolute Deviation (MAD)0.010788078
Skewness-0.59487886
Sum3924.3991
Variance0.00064454528
MonotonicityNot monotonic
2024-01-10T05:56:28.793299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
126.5797436829 2
 
6.5%
126.603840282 1
 
3.2%
126.6062643006 1
 
3.2%
126.6333976871 1
 
3.2%
126.5559241797 1
 
3.2%
126.5928813785 1
 
3.2%
126.621137 1
 
3.2%
126.6083671261 1
 
3.2%
126.6058475907 1
 
3.2%
126.6026614139 1
 
3.2%
Other values (20) 20
64.5%
ValueCountFrequency (%)
126.5288907124 1
3.2%
126.5379139777 1
3.2%
126.5559241797 1
3.2%
126.557791 1
3.2%
126.568840446 1
3.2%
126.5797436829 2
6.5%
126.5799013528 1
3.2%
126.5802672652 1
3.2%
126.5820150998 1
3.2%
126.5821976746 1
3.2%
ValueCountFrequency (%)
126.650079201 1
3.2%
126.6333976871 1
3.2%
126.621137 1
3.2%
126.6131040937 1
3.2%
126.6090386626 1
3.2%
126.6083671261 1
3.2%
126.6080673621 1
3.2%
126.6068063939 1
3.2%
126.6062643006 1
3.2%
126.6058475907 1
3.2%

전화번호
Text

Distinct30
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size380.0 B
2024-01-10T05:56:28.983054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters372
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

Unique29 ?
Unique (%)93.5%

Sample

1st row041-933-1144
2nd row041-933-3003
3rd row041-933-6415
4th row041-932-3918
5th row041-931-9920
ValueCountFrequency (%)
041-933-1337 2
 
6.5%
041-933-1144 1
 
3.2%
041-934-7377 1
 
3.2%
041-933-3040 1
 
3.2%
041-936-8097 1
 
3.2%
041-931-0317 1
 
3.2%
041-933-9922 1
 
3.2%
041-934-5786 1
 
3.2%
041-933-5680 1
 
3.2%
041-932-1800 1
 
3.2%
Other values (20) 20
64.5%
2024-01-10T05:56:29.277551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 62
16.7%
3 57
15.3%
1 55
14.8%
0 50
13.4%
4 45
12.1%
9 39
10.5%
6 17
 
4.6%
7 14
 
3.8%
5 12
 
3.2%
2 12
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 310
83.3%
Dash Punctuation 62
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 57
18.4%
1 55
17.7%
0 50
16.1%
4 45
14.5%
9 39
12.6%
6 17
 
5.5%
7 14
 
4.5%
5 12
 
3.9%
2 12
 
3.9%
8 9
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 372
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 62
16.7%
3 57
15.3%
1 55
14.8%
0 50
13.4%
4 45
12.1%
9 39
10.5%
6 17
 
4.6%
7 14
 
3.8%
5 12
 
3.2%
2 12
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 372
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 62
16.7%
3 57
15.3%
1 55
14.8%
0 50
13.4%
4 45
12.1%
9 39
10.5%
6 17
 
4.6%
7 14
 
3.8%
5 12
 
3.2%
2 12
 
3.2%

정원
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)82.4%
Missing14
Missing (%)45.2%
Infinite0
Infinite (%)0.0%
Mean36.058824
Minimum7
Maximum119
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-01-10T05:56:29.382488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile8.6
Q19
median29
Q348
95-th percentile84.6
Maximum119
Range112
Interquartile range (IQR)39

Descriptive statistics

Standard deviation30.833161
Coefficient of variation (CV)0.85507951
Kurtosis1.931302
Mean36.058824
Median Absolute Deviation (MAD)20
Skewness1.390919
Sum613
Variance950.68382
MonotonicityNot monotonic
2024-01-10T05:56:29.478919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
9 4
 
12.9%
48 1
 
3.2%
119 1
 
3.2%
76 1
 
3.2%
29 1
 
3.2%
46 1
 
3.2%
40 1
 
3.2%
13 1
 
3.2%
49 1
 
3.2%
7 1
 
3.2%
Other values (4) 4
 
12.9%
(Missing) 14
45.2%
ValueCountFrequency (%)
7 1
 
3.2%
9 4
12.9%
13 1
 
3.2%
21 1
 
3.2%
22 1
 
3.2%
29 1
 
3.2%
32 1
 
3.2%
40 1
 
3.2%
46 1
 
3.2%
48 1
 
3.2%
ValueCountFrequency (%)
119 1
3.2%
76 1
3.2%
75 1
3.2%
49 1
3.2%
48 1
3.2%
46 1
3.2%
40 1
3.2%
32 1
3.2%
29 1
3.2%
22 1
3.2%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
Minimum2022-08-25 00:00:00
Maximum2022-08-25 00:00:00
2024-01-10T05:56:29.570280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:56:29.648606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-01-10T05:56:25.672049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:56:24.740085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:56:25.047763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:56:25.345237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:56:25.752670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:56:24.808237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:56:25.121703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:56:25.423760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:56:25.822248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:56:24.887717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:56:25.192860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:56:25.505191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:56:25.893724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:56:24.967835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:56:25.267701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:56:25.587424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T05:56:29.713885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설유형시설종류시설명시설소재지 도로명 주소시설소재지 지번 주소위도경도전화번호정원
연번1.0001.0000.9311.0000.9450.9450.6190.0000.9450.332
시설유형1.0001.0001.0001.0000.0000.0000.8930.0000.0000.000
시설종류0.9311.0001.0001.0000.0000.0000.7990.3140.0000.756
시설명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
시설소재지 도로명 주소0.9450.0000.0001.0001.0001.0001.0001.0001.0000.919
시설소재지 지번 주소0.9450.0000.0001.0001.0001.0001.0001.0001.0000.919
위도0.6190.8930.7991.0001.0001.0001.0000.7411.0000.283
경도0.0000.0000.3141.0001.0001.0000.7411.0001.0000.378
전화번호0.9450.0000.0001.0001.0001.0001.0001.0001.0000.919
정원0.3320.0000.7561.0000.9190.9190.2830.3780.9191.000
2024-01-10T05:56:29.819813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설유형시설종류
시설유형1.0000.983
시설종류0.9831.000
2024-01-10T05:56:29.893596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도정원시설유형시설종류
연번1.000-0.0230.092-0.4230.7940.713
위도-0.0231.000-0.430-0.0710.6370.653
경도0.092-0.4301.0000.0480.0000.087
정원-0.423-0.0710.0481.0000.0000.362
시설유형0.7940.6370.0000.0001.0000.983
시설종류0.7130.6530.0870.3620.9831.000

Missing values

2024-01-10T05:56:25.997956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T05:56:26.137028image/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

연번시설유형시설종류시설명시설소재지 도로명 주소시설소재지 지번 주소위도경도전화번호정원데이터기준일
01노인의료복지시설노인요양시설보령요양원충청남도 보령시 남포면 보령남로 207충청남도 보령시 남포면 창동리 560-136.326435126.60384041-933-1144482022-08-25
12노인의료복지시설노인요양시설충청남도 도립요양원충청남도 보령시 주교면 척골길 233충청남도 보령시 주교면 송학리 3-1336.39194126.537914041-933-30031192022-08-25
23노인의료복지시설노인요양시설보령실버홈충청남도 보령시 남포면 보령남로 205충청남도 보령시 남포면 창동리 56036.326959126.602872041-933-6415762022-08-25
34노인의료복지시설노인요양시설소화데레사의집충청남도 보령시 대량비선재길 65-69 (신흑동)충청남도 보령시 신흑동 705-736.316791126.528891041-932-3918292022-08-25
45노인의료복지시설노인요양시설대천요양원충청남도 보령시 성주면 성주산로 367충청남도 보령시 성주면 성주리 247-1436.337447126.650079041-931-9920462022-08-25
56노인의료복지시설노인요양시설행복한집충청남도 보령시 남포면 봉덕2길 14충청남도 보령시 남포면 봉덕리 482-2036.323311126.602301041-931-6111402022-08-25
67노인의료복지시설노인요양시설보금자리요양원충청남도 보령시 웅천읍 한내1길 270충청남도 보령시 웅천읍 대창리 7-336.236677126.613104041-932-1006132022-08-25
78노인의료복지시설노인요양시설노인전문 살렘요양원충청남도 보령시 천북면 심박동길 92충청남도 보령시 천북면 낙동리 510-1236.484177126.557791041-641-0060492022-08-25
89노인의료복지시설노인요양공동생활가정삼육소담 노인요양공동생활가정충청남도 보령시 청소면 마참길 42-27충청남도 보령시 청소면 진죽리 14436.446344126.598417041-934-353692022-08-25
910노인의료복지시설노인요양공동생활가정보령사랑의 집충청남도 보령시 남포면 사현1길 62충청남도 보령시 남포면 옥서리 1636.284959126.606806041-931-331672022-08-25
연번시설유형시설종류시설명시설소재지 도로명 주소시설소재지 지번 주소위도경도전화번호정원데이터기준일
2122재가노인복지시설재가노인복지시설효행재가복지방문요양센터충청남도 보령시 중앙로 222 (대천동)충청남도 보령시 대천동 605-1136.356399126.582198041-935-1225<NA>2022-08-25
2223재가노인복지시설재가노인복지시설대천주야간보호센터충청남도 보령시 희망2길 39 (동대동)충청남도 보령시 동대동 195736.348009126.602316041-932-1800222022-08-25
2324재가노인복지시설재가노인복지시설(주)나눔복지센터충청남도 보령시 주공로 13, 4층 (동대동)충청남도 보령시 동대동 192636.345169126.602661041-933-5680<NA>2022-08-25
2425재가노인복지시설재가노인복지시설가온재가복지센터충청남도 보령시 신설5길 100 (동대동)충청남도 보령시 동대동 102436.353341126.605848041-934-5786<NA>2022-08-25
2526재가노인복지시설재가노인복지시설청소주야간보호센터충청남도 보령시 청소면 송덕신송길 337-60충청남도 보령시 청소면 신송리 376-236.468957126.579744041-933-1337212022-08-25
2627재가노인복지시설재가노인복지시설보령효방문요양센터충청남도 보령시 큰오랏6길 59 (동대동)충청남도 보령시 동대동 146136.349327126.608367041-933-9922<NA>2022-08-25
2728재가노인복지시설재가노인복지시설금빛사랑 주야간보호센터충청남도 보령시 한내로 187 (명천동)충청남도 보령시 명천동 45-2636.338416126.621137041-931-0317752022-08-25
2829재가노인복지시설재가노인복지시설사회복지법인 효드림데이케어센터충청남도 보령시 남대천로 75 (대천동)충청남도 보령시 대천동 297-736.347035126.592881041-936-8097322022-08-25
2930재가노인복지시설재가노인복지시설사랑샘 재가센터충청남도 보령시 웅천읍 갓골2길 4, 5호충청남도 보령시 웅천읍 관당리 157-736.246539126.555924041-933-3040<NA>2022-08-25
3031재가노인복지시설재가노인복지시설주산재가노인복지센터충청남도 보령시 주산면 충서로 405충청남도 보령시 주산면 금암리 681-2136.198623126.633398041-933-6755<NA>2022-08-25