Overview

Dataset statistics

Number of variables12
Number of observations296
Missing cells535
Missing cells (%)15.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory28.5 KiB
Average record size in memory98.4 B

Variable types

Numeric2
Text4
Categorical5
DateTime1

Dataset

Description성남시 내 재가장기요양기관에 대한 데이터로, 기관명, 소재지, 급여종류에 따른 정보(방문요양, 방문목욕, 방문간호, 복지용구, 주야간보호), 보호 정원, 연락처 등의 항목으로 구성되어 있습니다.
URLhttps://www.data.go.kr/data/15043654/fileData.do

Alerts

급여종류_단기보호 has constant value ""Constant
데이터기준일 has constant value ""Constant
급여종류_방문목욕 is highly overall correlated with 연번 and 5 other fieldsHigh correlation
급여종류_방문요양 is highly overall correlated with 연번 and 5 other fieldsHigh correlation
급여종류_주야간보호 is highly overall correlated with 연번 and 3 other fieldsHigh correlation
급여종류_복지용구 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
급여종류_방문간호 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
연번 is highly overall correlated with 급여종류_방문요양 and 4 other fieldsHigh correlation
주야간보호_단기보호정원 is highly overall correlated with 급여종류_방문요양 and 2 other fieldsHigh correlation
급여종류_방문간호 is highly imbalanced (74.0%)Imbalance
급여종류_복지용구 is highly imbalanced (52.7%)Imbalance
급여종류_단기보호 has 295 (99.7%) missing valuesMissing
주야간보호_단기보호정원 has 240 (81.1%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:14:59.491238
Analysis finished2023-12-12 22:15:00.851388
Duration1.36 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct296
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean148.5
Minimum1
Maximum296
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-13T07:15:00.912522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile15.75
Q174.75
median148.5
Q3222.25
95-th percentile281.25
Maximum296
Range295
Interquartile range (IQR)147.5

Descriptive statistics

Standard deviation85.592056
Coefficient of variation (CV)0.57637748
Kurtosis-1.2
Mean148.5
Median Absolute Deviation (MAD)74
Skewness0
Sum43956
Variance7326
MonotonicityStrictly increasing
2023-12-13T07:15:01.332644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
205 1
 
0.3%
203 1
 
0.3%
202 1
 
0.3%
201 1
 
0.3%
200 1
 
0.3%
199 1
 
0.3%
198 1
 
0.3%
197 1
 
0.3%
196 1
 
0.3%
Other values (286) 286
96.6%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
296 1
0.3%
295 1
0.3%
294 1
0.3%
293 1
0.3%
292 1
0.3%
291 1
0.3%
290 1
0.3%
289 1
0.3%
288 1
0.3%
287 1
0.3%

기관명
Text

Distinct295
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-12-13T07:15:01.584872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21
Mean length10.375
Min length2

Characters and Unicode

Total characters3071
Distinct characters271
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique294 ?
Unique (%)99.3%

Sample

1st row인보의집 재가복지지원센터
2nd row새날노인복지센터
3rd row성남서로사랑노인복지센터
4th row다살림재가노인복지센터
5th rowYWCA은학의집주간보호센터
ValueCountFrequency (%)
재가복지센터 12
 
2.9%
방문요양센터 8
 
1.9%
a)비지팅엔젤스 5
 
1.2%
재가노인복지센터 4
 
1.0%
주간보호센터 4
 
1.0%
분당 4
 
1.0%
재가 3
 
0.7%
데이케어센터 3
 
0.7%
분당점 3
 
0.7%
2호점 3
 
0.7%
Other values (336) 366
88.2%
2023-12-13T07:15:01.956890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
센 244
 
7.9%
터 244
 
7.9%
지 143
 
4.7%
가 142
 
4.6%
재 137
 
4.5%
복 137
 
4.5%
119
 
3.9%
양 76
 
2.5%
요 73
 
2.4%
인 71
 
2.3%
Other values (261) 1685
54.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2816
91.7%
Space Separator 119
 
3.9%
Other Punctuation 43
 
1.4%
Uppercase Letter 31
 
1.0%
Close Punctuation 18
 
0.6%
Open Punctuation 18
 
0.6%
Decimal Number 18
 
0.6%
Lowercase Letter 7
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
센 244
 
8.7%
터 244
 
8.7%
지 143
 
5.1%
가 142
 
5.0%
재 137
 
4.9%
복 137
 
4.9%
양 76
 
2.7%
요 73
 
2.6%
인 71
 
2.5%
노 68
 
2.4%
Other values (229) 1481
52.6%
Uppercase Letter
ValueCountFrequency (%)
A 13
41.9%
C 6
19.4%
H 4
 
12.9%
Y 2
 
6.5%
T 1
 
3.2%
P 1
 
3.2%
V 1
 
3.2%
I 1
 
3.2%
W 1
 
3.2%
M 1
 
3.2%
Decimal Number
ValueCountFrequency (%)
2 4
22.2%
3 4
22.2%
5 3
16.7%
9 2
11.1%
0 2
11.1%
1 2
11.1%
6 1
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
e 2
28.6%
h 1
14.3%
k 1
14.3%
o 1
14.3%
r 1
14.3%
a 1
14.3%
Other Punctuation
ValueCountFrequency (%)
' 24
55.8%
" 16
37.2%
/ 1
 
2.3%
# 1
 
2.3%
, 1
 
2.3%
Space Separator
ValueCountFrequency (%)
119
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2816
91.7%
Common 217
 
7.1%
Latin 38
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
센 244
 
8.7%
터 244
 
8.7%
지 143
 
5.1%
가 142
 
5.0%
재 137
 
4.9%
복 137
 
4.9%
양 76
 
2.7%
요 73
 
2.6%
인 71
 
2.5%
노 68
 
2.4%
Other values (229) 1481
52.6%
Common
ValueCountFrequency (%)
119
54.8%
' 24
 
11.1%
) 18
 
8.3%
( 18
 
8.3%
" 16
 
7.4%
2 4
 
1.8%
3 4
 
1.8%
5 3
 
1.4%
9 2
 
0.9%
0 2
 
0.9%
Other values (6) 7
 
3.2%
Latin
ValueCountFrequency (%)
A 13
34.2%
C 6
15.8%
H 4
 
10.5%
e 2
 
5.3%
Y 2
 
5.3%
h 1
 
2.6%
T 1
 
2.6%
P 1
 
2.6%
V 1
 
2.6%
I 1
 
2.6%
Other values (6) 6
15.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2816
91.7%
ASCII 255
 
8.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
센 244
 
8.7%
터 244
 
8.7%
지 143
 
5.1%
가 142
 
5.0%
재 137
 
4.9%
복 137
 
4.9%
양 76
 
2.7%
요 73
 
2.6%
인 71
 
2.5%
노 68
 
2.4%
Other values (229) 1481
52.6%
ASCII
ValueCountFrequency (%)
119
46.7%
' 24
 
9.4%
) 18
 
7.1%
( 18
 
7.1%
" 16
 
6.3%
A 13
 
5.1%
C 6
 
2.4%
H 4
 
1.6%
2 4
 
1.6%
3 4
 
1.6%
Other values (22) 29
 
11.4%

소재지
Text

Distinct290
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-12-13T07:15:02.242635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length45.5
Mean length36.070946
Min length24

Characters and Unicode

Total characters10677
Distinct characters233
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique285 ?
Unique (%)96.3%

Sample

1st row경기도 성남시 수정구 탄리로 49 (수진동)
2nd row경기도 성남시 중원구 둔촌대로425번길 44 (상대원동,상대원1동복지회관)
3rd row경기도 성남시 중원구 도촌로8번길 11, 4층 404호 (도촌동, 씨엔씨프라자)
4th row경기도 성남시 분당구 내정로113번길 4, 401호 (정자동)
5th row경기도 성남시 분당구 벌말로30번길 41 (야탑동)
ValueCountFrequency (%)
경기도 296
 
13.2%
성남시 296
 
13.2%
분당구 144
 
6.4%
수정구 84
 
3.8%
중원구 68
 
3.0%
1층 34
 
1.5%
야탑동 33
 
1.5%
태평동 29
 
1.3%
구미동 25
 
1.1%
2층 24
 
1.1%
Other values (611) 1201
53.8%
2023-12-13T07:15:02.660717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1938
 
18.2%
1 432
 
4.0%
, 404
 
3.8%
성 359
 
3.4%
남 346
 
3.2%
동 331
 
3.1%
구 329
 
3.1%
도 318
 
3.0%
시 306
 
2.9%
경 298
 
2.8%
Other values (223) 5616
52.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5916
55.4%
Space Separator 1938
 
18.2%
Decimal Number 1745
 
16.3%
Other Punctuation 404
 
3.8%
Open Punctuation 295
 
2.8%
Close Punctuation 295
 
2.8%
Dash Punctuation 52
 
0.5%
Uppercase Letter 20
 
0.2%
Math Symbol 11
 
0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 359
 
6.1%
남 346
 
5.8%
동 331
 
5.6%
구 329
 
5.6%
도 318
 
5.4%
시 306
 
5.2%
경 298
 
5.0%
기 297
 
5.0%
로 295
 
5.0%
호 173
 
2.9%
Other values (201) 2864
48.4%
Decimal Number
ValueCountFrequency (%)
1 432
24.8%
2 249
14.3%
0 221
12.7%
3 208
11.9%
4 154
 
8.8%
5 129
 
7.4%
6 102
 
5.8%
7 101
 
5.8%
8 80
 
4.6%
9 69
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
B 13
65.0%
A 4
 
20.0%
S 1
 
5.0%
H 1
 
5.0%
C 1
 
5.0%
Space Separator
ValueCountFrequency (%)
1938
100.0%
Other Punctuation
ValueCountFrequency (%)
, 404
100.0%
Open Punctuation
ValueCountFrequency (%)
( 295
100.0%
Close Punctuation
ValueCountFrequency (%)
) 295
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%
Math Symbol
ValueCountFrequency (%)
~ 11
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5916
55.4%
Common 4740
44.4%
Latin 21
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 359
 
6.1%
남 346
 
5.8%
동 331
 
5.6%
구 329
 
5.6%
도 318
 
5.4%
시 306
 
5.2%
경 298
 
5.0%
기 297
 
5.0%
로 295
 
5.0%
호 173
 
2.9%
Other values (201) 2864
48.4%
Common
ValueCountFrequency (%)
1938
40.9%
1 432
 
9.1%
, 404
 
8.5%
( 295
 
6.2%
) 295
 
6.2%
2 249
 
5.3%
0 221
 
4.7%
3 208
 
4.4%
4 154
 
3.2%
5 129
 
2.7%
Other values (6) 415
 
8.8%
Latin
ValueCountFrequency (%)
B 13
61.9%
A 4
 
19.0%
S 1
 
4.8%
H 1
 
4.8%
C 1
 
4.8%
Ⅱ 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5916
55.4%
ASCII 4760
44.6%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1938
40.7%
1 432
 
9.1%
, 404
 
8.5%
( 295
 
6.2%
) 295
 
6.2%
2 249
 
5.2%
0 221
 
4.6%
3 208
 
4.4%
4 154
 
3.2%
5 129
 
2.7%
Other values (11) 435
 
9.1%
Hangul
ValueCountFrequency (%)
성 359
 
6.1%
남 346
 
5.8%
동 331
 
5.6%
구 329
 
5.6%
도 318
 
5.4%
시 306
 
5.2%
경 298
 
5.0%
기 297
 
5.0%
로 295
 
5.0%
호 173
 
2.9%
Other values (201) 2864
48.4%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

급여종류_방문요양
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
○
234 
<NA>
62 

Length

Max length4
Median length1
Mean length1.6283784
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row○
2nd row<NA>
3rd row○
4th row○
5th row○

Common Values

ValueCountFrequency (%)
○ 234
79.1%
<NA> 62
 
20.9%

Length

2023-12-13T07:15:02.780363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:15:02.878591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
○ 234
79.1%
na 62
 
20.9%

급여종류_방문목욕
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
○
175 
<NA>
121 

Length

Max length4
Median length1
Mean length2.2263514
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row○
2nd row<NA>
3rd row○
4th row<NA>
5th row○

Common Values

ValueCountFrequency (%)
○ 175
59.1%
<NA> 121
40.9%

Length

2023-12-13T07:15:03.004077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:15:03.130121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
○ 175
59.1%
na 121
40.9%

급여종류_방문간호
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
283 
○
 
13

Length

Max length4
Median length4
Mean length3.8682432
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 283
95.6%
○ 13
 
4.4%

Length

2023-12-13T07:15:03.236202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:15:03.331191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 283
95.6%
○ 13
 
4.4%

급여종류_복지용구
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
266 
○
30 

Length

Max length4
Median length4
Mean length3.6959459
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 266
89.9%
○ 30
 
10.1%

Length

2023-12-13T07:15:03.430633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:15:03.522093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 266
89.9%
○ 30
 
10.1%

급여종류_주야간보호
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
242 
○
54 

Length

Max length4
Median length4
Mean length3.4527027
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row○
3rd row<NA>
4th row<NA>
5th row○

Common Values

ValueCountFrequency (%)
<NA> 242
81.8%
○ 54
 
18.2%

Length

2023-12-13T07:15:03.631770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:15:03.737171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 242
81.8%
○ 54
 
18.2%

급여종류_단기보호
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing295
Missing (%)99.7%
Memory size2.4 KiB
2023-12-13T07:15:03.796272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row○
ValueCountFrequency (%)
○ 1
100.0%
2023-12-13T07:15:03.970731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
○ 1
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Symbol 1
100.0%

Most frequent character per category

Other Symbol
ValueCountFrequency (%)
○ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
○ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Geometric Shapes 1
100.0%

Most frequent character per block

Geometric Shapes
ValueCountFrequency (%)
○ 1
100.0%

주야간보호_단기보호정원
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct37
Distinct (%)66.1%
Missing240
Missing (%)81.1%
Infinite0
Infinite (%)0.0%
Mean38.160714
Minimum2
Maximum83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-13T07:15:04.092692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile9
Q121.75
median36.5
Q350.25
95-th percentile72.75
Maximum83
Range81
Interquartile range (IQR)28.5

Descriptive statistics

Standard deviation19.177427
Coefficient of variation (CV)0.50254371
Kurtosis-0.29486037
Mean38.160714
Median Absolute Deviation (MAD)14.5
Skewness0.40856238
Sum2137
Variance367.7737
MonotonicityNot monotonic
2023-12-13T07:15:04.215585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
21 7
 
2.4%
9 3
 
1.0%
42 2
 
0.7%
39 2
 
0.7%
53 2
 
0.7%
36 2
 
0.7%
27 2
 
0.7%
50 2
 
0.7%
20 2
 
0.7%
43 2
 
0.7%
Other values (27) 30
 
10.1%
(Missing) 240
81.1%
ValueCountFrequency (%)
2 1
 
0.3%
7 1
 
0.3%
9 3
1.0%
20 2
 
0.7%
21 7
2.4%
22 1
 
0.3%
23 1
 
0.3%
24 1
 
0.3%
27 2
 
0.7%
28 2
 
0.7%
ValueCountFrequency (%)
83 1
0.3%
80 1
0.3%
75 1
0.3%
72 1
0.3%
70 1
0.3%
69 1
0.3%
66 1
0.3%
59 1
0.3%
55 1
0.3%
53 2
0.7%

연락처
Text

Distinct292
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-12-13T07:15:04.473952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.070946
Min length12

Characters and Unicode

Total characters3573
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

Unique288 ?
Unique (%)97.3%

Sample

1st row031-751-1937
2nd row031-747-3035
3rd row031-744-9544
4th row031-713-9001
5th row031-707-8790
ValueCountFrequency (%)
031-715-1454 2
 
0.7%
031-1566-6597 2
 
0.7%
031-780-1747 2
 
0.7%
031-722-1020 2
 
0.7%
031-745-2529 1
 
0.3%
031-736-2134 1
 
0.3%
031-716-2227 1
 
0.3%
031-714-0873 1
 
0.3%
031-745-1855 1
 
0.3%
031-706-8101 1
 
0.3%
Other values (282) 282
95.3%
2023-12-13T07:15:04.863568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 592
16.6%
0 549
15.4%
1 528
14.8%
3 462
12.9%
7 429
12.0%
5 225
 
6.3%
2 171
 
4.8%
6 161
 
4.5%
8 158
 
4.4%
9 152
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2981
83.4%
Dash Punctuation 592
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 549
18.4%
1 528
17.7%
3 462
15.5%
7 429
14.4%
5 225
7.5%
2 171
 
5.7%
6 161
 
5.4%
8 158
 
5.3%
9 152
 
5.1%
4 146
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 592
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3573
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 592
16.6%
0 549
15.4%
1 528
14.8%
3 462
12.9%
7 429
12.0%
5 225
 
6.3%
2 171
 
4.8%
6 161
 
4.5%
8 158
 
4.4%
9 152
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3573
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 592
16.6%
0 549
15.4%
1 528
14.8%
3 462
12.9%
7 429
12.0%
5 225
 
6.3%
2 171
 
4.8%
6 161
 
4.5%
8 158
 
4.4%
9 152
 
4.3%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
Minimum2023-05-31 00:00:00
Maximum2023-05-31 00:00:00
2023-12-13T07:15:05.001808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:15:05.111454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T07:15:00.268082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:15:00.046193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:15:00.352971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:15:00.167274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:15:05.176229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번주야간보호_단기보호정원
연번1.0000.277
주야간보호_단기보호정원0.2771.000
2023-12-13T07:15:05.254155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
급여종류_방문목욕급여종류_방문요양급여종류_주야간보호급여종류_복지용구급여종류_방문간호
급여종류_방문목욕1.0001.0001.0001.0001.000
급여종류_방문요양1.0001.0001.0001.0001.000
급여종류_주야간보호1.0001.0001.000NaNNaN
급여종류_복지용구1.0001.000NaN1.000NaN
급여종류_방문간호1.0001.000NaNNaN1.000
2023-12-13T07:15:05.352277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번주야간보호_단기보호정원급여종류_방문요양급여종류_방문목욕급여종류_방문간호급여종류_복지용구급여종류_주야간보호
연번1.000-0.0311.0001.0001.0001.0001.000
주야간보호_단기보호정원-0.0311.0001.0001.000NaN0.0001.000
급여종류_방문요양1.0001.0001.0001.0001.0001.0001.000
급여종류_방문목욕1.0001.0001.0001.0001.0001.0001.000
급여종류_방문간호1.000NaN1.0001.0001.000NaNNaN
급여종류_복지용구1.0000.0001.0001.000NaN1.0000.000
급여종류_주야간보호1.0001.0001.0001.000NaN0.0001.000

Missing values

2023-12-13T07:15:00.474323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:15:00.628411image/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.
2023-12-13T07:15:00.755077image/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

연번기관명소재지급여종류_방문요양급여종류_방문목욕급여종류_방문간호급여종류_복지용구급여종류_주야간보호급여종류_단기보호주야간보호_단기보호정원연락처데이터기준일
01인보의집 재가복지지원센터경기도 성남시 수정구 탄리로 49 (수진동)○○<NA><NA><NA><NA><NA>031-751-19372023-05-31
12새날노인복지센터경기도 성남시 중원구 둔촌대로425번길 44 (상대원동,상대원1동복지회관)<NA><NA><NA><NA>○<NA>20031-747-30352023-05-31
23성남서로사랑노인복지센터경기도 성남시 중원구 도촌로8번길 11, 4층 404호 (도촌동, 씨엔씨프라자)○○<NA><NA><NA><NA><NA>031-744-95442023-05-31
34다살림재가노인복지센터경기도 성남시 분당구 내정로113번길 4, 401호 (정자동)○<NA><NA><NA><NA><NA><NA>031-713-90012023-05-31
45YWCA은학의집주간보호센터경기도 성남시 분당구 벌말로30번길 41 (야탑동)○○<NA><NA>○<NA>70031-707-87902023-05-31
56성남재가노인복지센터경기도 성남시 중원구 박석로80번길 10 (상대원동)<NA><NA><NA><NA>○<NA>21031-747-18862023-05-31
67분당재가노인복지센터경기도 성남시 분당구 내정로165번길 38 (수내동,양지마을 601동 청구상가 171호, 172호)○○<NA><NA><NA><NA><NA>031-712-69052023-05-31
78위례원마을노인복지센터경기도 성남시 수정구 위례서일로 22, 902,4~8,12호 (창곡동, 이너매스우남)○<NA><NA><NA>○<NA>46031-757-20332023-05-31
89굿패밀리 주간보호센터경기도 성남시 중원구 희망로 374 (상대원동)<NA><NA><NA><NA>○<NA>20031-745-75102023-05-31
910중원주간보호센터경기도 성남시 중원구 제일로35번길 51 (성남동)<NA><NA><NA><NA>○<NA>21031-751-74552023-05-31
연번기관명소재지급여종류_방문요양급여종류_방문목욕급여종류_방문간호급여종류_복지용구급여종류_주야간보호급여종류_단기보호주야간보호_단기보호정원연락처데이터기준일
286287맘편한재가복지센터경기도 성남시 분당구 중앙공원로40번길 8, 1동 2층 220호 (서현동, 현대근린상가)○○<NA><NA><NA><NA><NA>031-707-06662023-05-31
287288수정재가요양센터경기도 성남시 수정구 공원로 360, 101호 (신흥동, 두산아파트 상가)○○<NA><NA><NA><NA><NA>031-733-15882023-05-31
288289늘푸른재가장기요양센터경기도 성남시 중원구 박석로15번길 41, 1층 (상대원동)○○<NA><NA><NA><NA><NA>031-745-25292023-05-31
289290현대케어재가센터경기도 성남시 분당구 야탑로111번길 7, 103호 (야탑동)○○<NA><NA><NA><NA><NA>031-602-72612023-05-31
290291우리재가방문센터경기도 성남시 수정구 수정로 316, 206호 (신흥동, 셀레스빌)○<NA><NA><NA><NA><NA><NA>031-733-52792023-05-31
291292경기재가노인복지주식회사경기도 성남시 중원구 둔촌대로 180, 2층 (하대원동)○○<NA>○<NA><NA><NA>031-722-03302023-05-31
292293명문재가노인복지센터경기도 성남시 분당구 백현로 206, 204호 (정자동, 한솔마을근린상가동)○<NA><NA><NA><NA><NA><NA>031-747-77452023-05-31
293294엠보스재가노인복지센터경기도 성남시 분당구 내정로129번길 6, 지층 (정자동)○○○○<NA><NA><NA>070-8888-37712023-05-31
294295행복드림재가복지경기도 성남시 분당구 미금로 246, 206호 (금곡동, 청솔마을6단지상가)○○<NA><NA><NA><NA><NA>031-717-92342023-05-31
295296아리아케어 방문요양 분당 구미센터경기도 성남시 분당구 구미로 60, 505호 (구미동, 관보쇼핑)○○<NA><NA><NA><NA><NA>031-716-01192023-05-31