Overview

Dataset statistics

Number of variables6
Number of observations392
Missing cells4
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.3 KiB
Average record size in memory50.3 B

Variable types

Numeric2
Text3
Categorical1

Dataset

Description경기도_고양시_노인복지시설 (주거,의료,재가)현황에 대한 데이터로 시설명, 시설유형, 입소정원수, 주소 등의 항목을 제공합니다.
Author경기도 고양시
URLhttps://www.data.go.kr/data/3080905/fileData.do

Alerts

연번 is highly overall correlated with 입소정원수 and 1 other fieldsHigh correlation
입소정원수 is highly overall correlated with 연번High correlation
기관종류 is highly overall correlated with 연번High correlation
전화번호 has 4 (1.0%) missing valuesMissing
연번 has unique valuesUnique
입소정원수 has 127 (32.4%) zerosZeros

Reproduction

Analysis started2023-12-12 15:39:20.051887
Analysis finished2023-12-12 15:39:21.231232
Duration1.18 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct392
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean196.5
Minimum1
Maximum392
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-13T00:39:21.329101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile20.55
Q198.75
median196.5
Q3294.25
95-th percentile372.45
Maximum392
Range391
Interquartile range (IQR)195.5

Descriptive statistics

Standard deviation113.3049
Coefficient of variation (CV)0.57661526
Kurtosis-1.2
Mean196.5
Median Absolute Deviation (MAD)98
Skewness0
Sum77028
Variance12838
MonotonicityStrictly increasing
2023-12-13T00:39:21.496361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
271 1
 
0.3%
269 1
 
0.3%
268 1
 
0.3%
267 1
 
0.3%
266 1
 
0.3%
265 1
 
0.3%
264 1
 
0.3%
263 1
 
0.3%
262 1
 
0.3%
Other values (382) 382
97.4%
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 (%)
392 1
0.3%
391 1
0.3%
390 1
0.3%
389 1
0.3%
388 1
0.3%
387 1
0.3%
386 1
0.3%
385 1
0.3%
384 1
0.3%
383 1
0.3%
Distinct391
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2023-12-13T00:39:21.752831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length17
Mean length8.2933673
Min length3

Characters and Unicode

Total characters3251
Distinct characters311
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

Unique390 ?
Unique (%)99.5%

Sample

1st row희망의마을양로원
2nd row예승실버타운
3rd row효누림실버타운
4th row베아투스 카운티 실버타운
5th row은혜실버타운
ValueCountFrequency (%)
요양원 7
 
1.6%
고양시소규모노인종합센터 2
 
0.5%
노인요양공동생활가정 2
 
0.5%
재가복지센터 2
 
0.5%
재가방문요양센터 2
 
0.5%
고양노인주야간보호센터 2
 
0.5%
일산 2
 
0.5%
승리재활주간보호센터 2
 
0.5%
행복한요양원 2
 
0.5%
실버타운 2
 
0.5%
Other values (412) 412
94.3%
2023-12-13T00:39:22.138932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
252
 
7.8%
218
 
6.7%
169
 
5.2%
152
 
4.7%
152
 
4.7%
85
 
2.6%
84
 
2.6%
79
 
2.4%
62
 
1.9%
54
 
1.7%
Other values (301) 1944
59.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3100
95.4%
Space Separator 45
 
1.4%
Open Punctuation 21
 
0.6%
Close Punctuation 21
 
0.6%
Uppercase Letter 21
 
0.6%
Decimal Number 19
 
0.6%
Lowercase Letter 12
 
0.4%
Math Symbol 8
 
0.2%
Other Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
252
 
8.1%
218
 
7.0%
169
 
5.5%
152
 
4.9%
152
 
4.9%
85
 
2.7%
84
 
2.7%
79
 
2.5%
62
 
2.0%
54
 
1.7%
Other values (277) 1793
57.8%
Uppercase Letter
ValueCountFrequency (%)
A 11
52.4%
T 2
 
9.5%
P 1
 
4.8%
I 1
 
4.8%
V 1
 
4.8%
H 1
 
4.8%
S 1
 
4.8%
E 1
 
4.8%
C 1
 
4.8%
W 1
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
e 5
41.7%
l 2
 
16.7%
h 2
 
16.7%
r 1
 
8.3%
a 1
 
8.3%
s 1
 
8.3%
Decimal Number
ValueCountFrequency (%)
2 10
52.6%
1 9
47.4%
Other Punctuation
ValueCountFrequency (%)
. 2
50.0%
' 2
50.0%
Space Separator
ValueCountFrequency (%)
45
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Math Symbol
ValueCountFrequency (%)
+ 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3100
95.4%
Common 118
 
3.6%
Latin 33
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
252
 
8.1%
218
 
7.0%
169
 
5.5%
152
 
4.9%
152
 
4.9%
85
 
2.7%
84
 
2.7%
79
 
2.5%
62
 
2.0%
54
 
1.7%
Other values (277) 1793
57.8%
Latin
ValueCountFrequency (%)
A 11
33.3%
e 5
15.2%
l 2
 
6.1%
T 2
 
6.1%
h 2
 
6.1%
P 1
 
3.0%
I 1
 
3.0%
V 1
 
3.0%
r 1
 
3.0%
H 1
 
3.0%
Other values (6) 6
18.2%
Common
ValueCountFrequency (%)
45
38.1%
( 21
17.8%
) 21
17.8%
2 10
 
8.5%
1 9
 
7.6%
+ 8
 
6.8%
. 2
 
1.7%
' 2
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3100
95.4%
ASCII 151
 
4.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
252
 
8.1%
218
 
7.0%
169
 
5.5%
152
 
4.9%
152
 
4.9%
85
 
2.7%
84
 
2.7%
79
 
2.5%
62
 
2.0%
54
 
1.7%
Other values (277) 1793
57.8%
ASCII
ValueCountFrequency (%)
45
29.8%
( 21
13.9%
) 21
13.9%
A 11
 
7.3%
2 10
 
6.6%
1 9
 
6.0%
+ 8
 
5.3%
e 5
 
3.3%
l 2
 
1.3%
T 2
 
1.3%
Other values (14) 17
 
11.3%

기관종류
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
노인의료복지시설
211 
재가노인복지시설
172 
노인주거복지시설
 
9

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
노인의료복지시설 211
53.8%
재가노인복지시설 172
43.9%
노인주거복지시설 9
 
2.3%

Length

2023-12-13T00:39:22.268417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:39:22.380401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노인의료복지시설 211
53.8%
재가노인복지시설 172
43.9%
노인주거복지시설 9
 
2.3%

입소정원수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct71
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.413265
Minimum0
Maximum240
Zeros127
Zeros (%)32.4%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-13T00:39:22.516053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median18
Q344.25
95-th percentile98.45
Maximum240
Range240
Interquartile range (IQR)44.25

Descriptive statistics

Standard deviation33.194962
Coefficient of variation (CV)1.2109087
Kurtosis5.4712386
Mean27.413265
Median Absolute Deviation (MAD)18
Skewness1.8851693
Sum10746
Variance1101.9055
MonotonicityNot monotonic
2023-12-13T00:39:22.663152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 127
32.4%
9 39
 
9.9%
29 22
 
5.6%
49 19
 
4.8%
99 16
 
4.1%
24 9
 
2.3%
27 9
 
2.3%
25 8
 
2.0%
26 7
 
1.8%
23 7
 
1.8%
Other values (61) 129
32.9%
ValueCountFrequency (%)
0 127
32.4%
5 4
 
1.0%
7 4
 
1.0%
8 2
 
0.5%
9 39
 
9.9%
13 3
 
0.8%
14 2
 
0.5%
15 3
 
0.8%
16 4
 
1.0%
17 5
 
1.3%
ValueCountFrequency (%)
240 1
 
0.3%
175 1
 
0.3%
164 1
 
0.3%
150 1
 
0.3%
99 16
4.1%
98 3
 
0.8%
96 3
 
0.8%
95 1
 
0.3%
91 1
 
0.3%
89 1
 
0.3%

주소
Text

Distinct378
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2023-12-13T00:39:23.038475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length48
Mean length35.403061
Min length24

Characters and Unicode

Total characters13878
Distinct characters234
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique366 ?
Unique (%)93.4%

Sample

1st row경기도 고양시 덕양구 내유길 30 (내유동)
2nd row경기도 고양시 덕양구 중앙로 628, 9층 (화정동, 예일프라자)
3rd row경기도 고양시 일산동구 고양대로 866-29 (중산동)
4th row경기도 고양시 일산동구 고봉로770번길 112-11 (설문동)
5th row경기도 고양시 덕양구 고양대로 1387, 6층 (성사동, 성원코아)
ValueCountFrequency (%)
경기도 393
 
13.4%
고양시 393
 
13.4%
덕양구 167
 
5.7%
일산동구 144
 
4.9%
일산서구 82
 
2.8%
2층 48
 
1.6%
중산동 46
 
1.6%
행신동 45
 
1.5%
4층 36
 
1.2%
1층 33
 
1.1%
Other values (695) 1542
52.6%
2023-12-13T00:39:23.612396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2539
 
18.3%
591
 
4.3%
586
 
4.2%
1 466
 
3.4%
444
 
3.2%
, 432
 
3.1%
410
 
3.0%
404
 
2.9%
396
 
2.9%
396
 
2.9%
Other values (224) 7214
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7640
55.1%
Space Separator 2539
 
18.3%
Decimal Number 2308
 
16.6%
Other Punctuation 435
 
3.1%
Open Punctuation 392
 
2.8%
Close Punctuation 392
 
2.8%
Dash Punctuation 141
 
1.0%
Uppercase Letter 19
 
0.1%
Math Symbol 12
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
591
 
7.7%
586
 
7.7%
444
 
5.8%
410
 
5.4%
404
 
5.3%
396
 
5.2%
396
 
5.2%
394
 
5.2%
360
 
4.7%
359
 
4.7%
Other values (198) 3300
43.2%
Decimal Number
ValueCountFrequency (%)
1 466
20.2%
2 321
13.9%
3 269
11.7%
0 259
11.2%
4 204
8.8%
7 203
8.8%
5 176
 
7.6%
6 173
 
7.5%
8 136
 
5.9%
9 101
 
4.4%
Uppercase Letter
ValueCountFrequency (%)
A 5
26.3%
G 4
21.1%
L 3
15.8%
I 2
 
10.5%
B 2
 
10.5%
M 1
 
5.3%
F 1
 
5.3%
S 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 432
99.3%
· 2
 
0.5%
& 1
 
0.2%
Space Separator
ValueCountFrequency (%)
2539
100.0%
Open Punctuation
ValueCountFrequency (%)
( 392
100.0%
Close Punctuation
ValueCountFrequency (%)
) 392
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 141
100.0%
Math Symbol
ValueCountFrequency (%)
~ 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7640
55.1%
Common 6219
44.8%
Latin 19
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
591
 
7.7%
586
 
7.7%
444
 
5.8%
410
 
5.4%
404
 
5.3%
396
 
5.2%
396
 
5.2%
394
 
5.2%
360
 
4.7%
359
 
4.7%
Other values (198) 3300
43.2%
Common
ValueCountFrequency (%)
2539
40.8%
1 466
 
7.5%
, 432
 
6.9%
( 392
 
6.3%
) 392
 
6.3%
2 321
 
5.2%
3 269
 
4.3%
0 259
 
4.2%
4 204
 
3.3%
7 203
 
3.3%
Other values (8) 742
 
11.9%
Latin
ValueCountFrequency (%)
A 5
26.3%
G 4
21.1%
L 3
15.8%
I 2
 
10.5%
B 2
 
10.5%
M 1
 
5.3%
F 1
 
5.3%
S 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7640
55.1%
ASCII 6236
44.9%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2539
40.7%
1 466
 
7.5%
, 432
 
6.9%
( 392
 
6.3%
) 392
 
6.3%
2 321
 
5.1%
3 269
 
4.3%
0 259
 
4.2%
4 204
 
3.3%
7 203
 
3.3%
Other values (15) 759
 
12.2%
Hangul
ValueCountFrequency (%)
591
 
7.7%
586
 
7.7%
444
 
5.8%
410
 
5.4%
404
 
5.3%
396
 
5.2%
396
 
5.2%
394
 
5.2%
360
 
4.7%
359
 
4.7%
Other values (198) 3300
43.2%
None
ValueCountFrequency (%)
· 2
100.0%

전화번호
Text

MISSING 

Distinct365
Distinct (%)94.1%
Missing4
Missing (%)1.0%
Memory size3.2 KiB
2023-12-13T00:39:23.966105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.010309
Min length11

Characters and Unicode

Total characters4660
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

Unique343 ?
Unique (%)88.4%

Sample

1st row031-962-8338
2nd row031-979-9919
3rd row031-975-7371
4th row031-977-1003
5th row031-968-9001
ValueCountFrequency (%)
031-962-8338 3
 
0.8%
031-972-1441 2
 
0.5%
031-962-2177 2
 
0.5%
031-970-7774 2
 
0.5%
031-938-7373 2
 
0.5%
031-925-9166 2
 
0.5%
031-978-2929 2
 
0.5%
031-966-0317 2
 
0.5%
031-924-9545 2
 
0.5%
031-901-1253 2
 
0.5%
Other values (355) 367
94.6%
2023-12-13T00:39:24.440341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 776
16.7%
0 699
15.0%
1 647
13.9%
3 570
12.2%
9 530
11.4%
7 392
8.4%
2 265
 
5.7%
6 249
 
5.3%
8 217
 
4.7%
5 188
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3884
83.3%
Dash Punctuation 776
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 699
18.0%
1 647
16.7%
3 570
14.7%
9 530
13.6%
7 392
10.1%
2 265
 
6.8%
6 249
 
6.4%
8 217
 
5.6%
5 188
 
4.8%
4 127
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 776
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4660
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 776
16.7%
0 699
15.0%
1 647
13.9%
3 570
12.2%
9 530
11.4%
7 392
8.4%
2 265
 
5.7%
6 249
 
5.3%
8 217
 
4.7%
5 188
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4660
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 776
16.7%
0 699
15.0%
1 647
13.9%
3 570
12.2%
9 530
11.4%
7 392
8.4%
2 265
 
5.7%
6 249
 
5.3%
8 217
 
4.7%
5 188
 
4.0%

Interactions

2023-12-13T00:39:20.845888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:39:20.617258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:39:20.950216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:39:20.738880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:39:24.576320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번기관종류입소정원수
연번1.0000.8280.478
기관종류0.8281.0000.473
입소정원수0.4780.4731.000
2023-12-13T00:39:24.684148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번입소정원수기관종류
연번1.000-0.6820.726
입소정원수-0.6821.0000.331
기관종류0.7260.3311.000

Missing values

2023-12-13T00:39:21.071320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:39:21.185509image/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

연번시설명기관종류입소정원수주소전화번호
01희망의마을양로원노인주거복지시설61경기도 고양시 덕양구 내유길 30 (내유동)031-962-8338
12예승실버타운노인주거복지시설69경기도 고양시 덕양구 중앙로 628, 9층 (화정동, 예일프라자)031-979-9919
23효누림실버타운노인주거복지시설99경기도 고양시 일산동구 고양대로 866-29 (중산동)031-975-7371
34베아투스 카운티 실버타운노인주거복지시설29경기도 고양시 일산동구 고봉로770번길 112-11 (설문동)031-977-1003
45은혜실버타운노인주거복지시설29경기도 고양시 덕양구 고양대로 1387, 6층 (성사동, 성원코아)031-968-9001
56늘푸른실버타운노인주거복지시설80경기도 고양시 일산동구 성현로 185-33 (성석동)031-977-0421
67효누림실버타운신관노인주거복지시설99경기도 고양시 일산동구 고양대로 864-7, 2,3,4층 (중산동)031-975-7371
78기쁨이가득한집노인주거복지시설5경기도 고양시 덕양구 원당로319번길 73 (원당동)031-963-2872
89그레이스 힐 실버타운노인주거복지시설29경기도 고양시 일산동구 원중길 2 (식사동)031-8073-9017
910파인밸리 전문요양원노인의료복지시설54경기도 고양시 덕양구 고골길178번길 73 (관산동)031-962-8360
연번시설명기관종류입소정원수주소전화번호
382383단비방문간호센타재가노인복지시설0경기도 고양시 덕양구 화정로 53-1, 4층 19호 (화정동)070-7585-0765
383384백석의료기재가노인복지시설0경기도 고양시 일산동구 장백로 56, 1층 109호 (백석동)031-901-3991
384385케어라인재가노인복지시설0경기도 고양시 일산동구 진밭로 99, 나동 2층 (성석동)070-7780-2654
385386다은재가복지센터재가노인복지시설0경기도 고양시 덕양구 충장로117번길 15-9, 1층 일부호 (행신동)031-972-7794
386387(주)이씨파트너스 복지용구사업소재가노인복지시설0경기도 고양시 덕양구 용현로 7, 201-1호 (행신동, 에버그린)070-5138-3458
387388두손의료기재가노인복지시설0경기도 고양시 일산서구 중앙로 1371, 2층 82호 (주엽동, 강선마을)031-922-6780
388389안심베드재가노인복지시설0경기도 고양시 일산서구 송포로425번길 78-28, 2동 1층 (가좌동)031-911-0505
389390아빠를 부탁해 재가복지센터재가노인복지시설0경기도 고양시 덕양구 해포길 14-1, 202호 (현천동)02-909-0603
390391올리브재가센터재가노인복지시설0경기도 고양시 덕양구 도래울로 42-5, 201호 (도내동, 우노프라자)070-5222-5906
391392고양복지방문요양센터재가노인복지시설0경기도 고양시 일산동구 고봉로 278, 2층 (중산동, 성창빌딩)031-976-0061