Overview

Dataset statistics

Number of variables5
Number of observations50
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory43.6 B

Variable types

Numeric1
Text3
DateTime1

Dataset

Description서울특별시 중랑구의 요양원현황입니다.연번,시설명,주소,전화번호, 승인일자를 제공합니다. 참고해주시기 바랍니다.
URLhttps://www.data.go.kr/data/15037407/fileData.do

Alerts

연번 has unique valuesUnique
시설명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 17:07:59.535921
Analysis finished2023-12-12 17:08:00.760602
Duration1.22 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.5
Minimum1
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-13T02:08:00.841314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.45
Q113.25
median25.5
Q337.75
95-th percentile47.55
Maximum50
Range49
Interquartile range (IQR)24.5

Descriptive statistics

Standard deviation14.57738
Coefficient of variation (CV)0.57166195
Kurtosis-1.2
Mean25.5
Median Absolute Deviation (MAD)12.5
Skewness0
Sum1275
Variance212.5
MonotonicityStrictly increasing
2023-12-13T02:08:00.980870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
2.0%
39 1
 
2.0%
29 1
 
2.0%
30 1
 
2.0%
31 1
 
2.0%
32 1
 
2.0%
33 1
 
2.0%
34 1
 
2.0%
35 1
 
2.0%
36 1
 
2.0%
Other values (40) 40
80.0%
ValueCountFrequency (%)
1 1
2.0%
2 1
2.0%
3 1
2.0%
4 1
2.0%
5 1
2.0%
6 1
2.0%
7 1
2.0%
8 1
2.0%
9 1
2.0%
10 1
2.0%
ValueCountFrequency (%)
50 1
2.0%
49 1
2.0%
48 1
2.0%
47 1
2.0%
46 1
2.0%
45 1
2.0%
44 1
2.0%
43 1
2.0%
42 1
2.0%
41 1
2.0%

시설명
Text

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2023-12-13T02:08:01.221522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length7.98
Min length5

Characters and Unicode

Total characters399
Distinct characters108
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)100.0%

Sample

1st rowA+평화요양원
2nd row골든시니어케어센터
3rd row장원서울요양원
4th row상봉요양원요양센터
5th row서울꽃동네신내노인요양원
ValueCountFrequency (%)
예원요양원 2
 
3.6%
2호점 2
 
3.6%
우리가족요양원 2
 
3.6%
a+평화요양원 1
 
1.8%
abc)우림요양센터 1
 
1.8%
사랑요양원 1
 
1.8%
효원노인복지센터c 1
 
1.8%
사랑채요양원 1
 
1.8%
새솔요양원 1
 
1.8%
엘림요양원 1
 
1.8%
Other values (42) 42
76.4%
2023-12-13T02:08:01.614135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 49
 
12.3%
양 44
 
11.0%
요 44
 
11.0%
노 15
 
3.8%
인 15
 
3.8%
효 11
 
2.8%
센 9
 
2.3%
터 9
 
2.3%
호 8
 
2.0%
랑 6
 
1.5%
Other values (98) 189
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 364
91.2%
Uppercase Letter 10
 
2.5%
Decimal Number 8
 
2.0%
Open Punctuation 5
 
1.3%
Close Punctuation 5
 
1.3%
Space Separator 5
 
1.3%
Other Punctuation 1
 
0.3%
Math Symbol 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 49
 
13.5%
양 44
 
12.1%
요 44
 
12.1%
노 15
 
4.1%
인 15
 
4.1%
효 11
 
3.0%
센 9
 
2.5%
터 9
 
2.5%
호 8
 
2.2%
랑 6
 
1.6%
Other values (87) 154
42.3%
Uppercase Letter
ValueCountFrequency (%)
A 3
30.0%
C 3
30.0%
B 3
30.0%
D 1
 
10.0%
Decimal Number
ValueCountFrequency (%)
2 5
62.5%
1 3
37.5%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Other Punctuation
ValueCountFrequency (%)
* 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 364
91.2%
Common 25
 
6.3%
Latin 10
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 49
 
13.5%
양 44
 
12.1%
요 44
 
12.1%
노 15
 
4.1%
인 15
 
4.1%
효 11
 
3.0%
센 9
 
2.5%
터 9
 
2.5%
호 8
 
2.2%
랑 6
 
1.6%
Other values (87) 154
42.3%
Common
ValueCountFrequency (%)
2 5
20.0%
( 5
20.0%
) 5
20.0%
5
20.0%
1 3
12.0%
* 1
 
4.0%
+ 1
 
4.0%
Latin
ValueCountFrequency (%)
A 3
30.0%
C 3
30.0%
B 3
30.0%
D 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 364
91.2%
ASCII 35
 
8.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 49
 
13.5%
양 44
 
12.1%
요 44
 
12.1%
노 15
 
4.1%
인 15
 
4.1%
효 11
 
3.0%
센 9
 
2.5%
터 9
 
2.5%
호 8
 
2.2%
랑 6
 
1.6%
Other values (87) 154
42.3%
ASCII
ValueCountFrequency (%)
2 5
14.3%
( 5
14.3%
) 5
14.3%
5
14.3%
A 3
8.6%
C 3
8.6%
1 3
8.6%
B 3
8.6%
* 1
 
2.9%
+ 1
 
2.9%

시설소재지 주소
Text

Distinct43
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2023-12-13T02:08:01.892943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length33
Mean length28.82
Min length21

Characters and Unicode

Total characters1441
Distinct characters75
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

Unique37 ?
Unique (%)74.0%

Sample

1st row서울특별시 중랑구 중랑천로 52(면목동)
2nd row서울특별시 중랑구 중랑구 동일로 917-4(묵동)
3rd row서울특별시 중랑구 용마공원로2길12(망우동)
4th row서울특별시 중랑구 용마산로 485(망우동)
5th row서울특별시 중랑구 신내로 194 (신내동)
ValueCountFrequency (%)
중랑구 51
18.8%
서울특별시 50
18.5%
용마산로 10
 
3.7%
망우로 8
 
3.0%
상봉동 7
 
2.6%
171 6
 
2.2%
중화동 6
 
2.2%
신내로 6
 
2.2%
신내동 5
 
1.8%
동일로 5
 
1.8%
Other values (77) 117
43.2%
2023-12-13T02:08:02.436293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
224
 
15.5%
중 64
 
4.4%
동 58
 
4.0%
, 55
 
3.8%
랑 52
 
3.6%
서 51
 
3.5%
구 51
 
3.5%
특 50
 
3.5%
별 50
 
3.5%
시 50
 
3.5%
Other values (65) 736
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 874
60.7%
Space Separator 224
 
15.5%
Decimal Number 189
 
13.1%
Other Punctuation 55
 
3.8%
Open Punctuation 48
 
3.3%
Close Punctuation 48
 
3.3%
Dash Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 64
 
7.3%
동 58
 
6.6%
랑 52
 
5.9%
서 51
 
5.8%
구 51
 
5.8%
특 50
 
5.7%
별 50
 
5.7%
시 50
 
5.7%
울 50
 
5.7%
로 50
 
5.7%
Other values (50) 348
39.8%
Decimal Number
ValueCountFrequency (%)
1 38
20.1%
4 30
15.9%
2 23
12.2%
5 21
11.1%
7 18
9.5%
3 15
 
7.9%
9 13
 
6.9%
6 12
 
6.3%
8 11
 
5.8%
0 8
 
4.2%
Space Separator
ValueCountFrequency (%)
224
100.0%
Other Punctuation
ValueCountFrequency (%)
, 55
100.0%
Open Punctuation
ValueCountFrequency (%)
( 48
100.0%
Close Punctuation
ValueCountFrequency (%)
) 48
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 874
60.7%
Common 567
39.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 64
 
7.3%
동 58
 
6.6%
랑 52
 
5.9%
서 51
 
5.8%
구 51
 
5.8%
특 50
 
5.7%
별 50
 
5.7%
시 50
 
5.7%
울 50
 
5.7%
로 50
 
5.7%
Other values (50) 348
39.8%
Common
ValueCountFrequency (%)
224
39.5%
, 55
 
9.7%
( 48
 
8.5%
) 48
 
8.5%
1 38
 
6.7%
4 30
 
5.3%
2 23
 
4.1%
5 21
 
3.7%
7 18
 
3.2%
3 15
 
2.6%
Other values (5) 47
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 874
60.7%
ASCII 567
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
224
39.5%
, 55
 
9.7%
( 48
 
8.5%
) 48
 
8.5%
1 38
 
6.7%
4 30
 
5.3%
2 23
 
4.1%
5 21
 
3.7%
7 18
 
3.2%
3 15
 
2.6%
Other values (5) 47
 
8.3%
Hangul
ValueCountFrequency (%)
중 64
 
7.3%
동 58
 
6.6%
랑 52
 
5.9%
서 51
 
5.8%
구 51
 
5.8%
특 50
 
5.7%
별 50
 
5.7%
시 50
 
5.7%
울 50
 
5.7%
로 50
 
5.7%
Other values (50) 348
39.8%

전화번호
Text

Distinct41
Distinct (%)82.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2023-12-13T02:08:02.739327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.44
Min length11

Characters and Unicode

Total characters572
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

Unique35 ?
Unique (%)70.0%

Sample

1st row02-433-7448
2nd row02-973-3335
3rd row02-436-6900
4th row02-2209-9776
5th row02-490-2600
ValueCountFrequency (%)
02-438-0606 4
 
8.0%
02-2207-7500 3
 
6.0%
070-4543-7367 2
 
4.0%
070-4543-7369 2
 
4.0%
070-4543-7366 2
 
4.0%
02-433-1221 2
 
4.0%
02-496-9724 1
 
2.0%
02-493-8859 1
 
2.0%
02-2209-7004 1
 
2.0%
02-974-7004 1
 
2.0%
Other values (31) 31
62.0%
2023-12-13T02:08:03.176856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 109
19.1%
- 100
17.5%
2 74
12.9%
4 64
11.2%
3 50
8.7%
7 48
8.4%
9 34
 
5.9%
6 31
 
5.4%
1 26
 
4.5%
8 19
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 472
82.5%
Dash Punctuation 100
 
17.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 109
23.1%
2 74
15.7%
4 64
13.6%
3 50
10.6%
7 48
10.2%
9 34
 
7.2%
6 31
 
6.6%
1 26
 
5.5%
8 19
 
4.0%
5 17
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 100
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 572
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 109
19.1%
- 100
17.5%
2 74
12.9%
4 64
11.2%
3 50
8.7%
7 48
8.4%
9 34
 
5.9%
6 31
 
5.4%
1 26
 
4.5%
8 19
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 572
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 109
19.1%
- 100
17.5%
2 74
12.9%
4 64
11.2%
3 50
8.7%
7 48
8.4%
9 34
 
5.9%
6 31
 
5.4%
1 26
 
4.5%
8 19
 
3.3%

승인일자
Date

Distinct39
Distinct (%)78.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
Minimum2001-05-11 00:00:00
Maximum2023-05-01 00:00:00
2023-12-13T02:08:03.351919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:08:03.501095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)

Interactions

2023-12-13T02:07:59.831078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T02:08:03.597328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설명시설소재지 주소전화번호승인일자
연번1.0001.0000.9920.9820.952
시설명1.0001.0001.0001.0001.000
시설소재지 주소0.9921.0001.0000.9960.996
전화번호0.9821.0000.9961.0000.992
승인일자0.9521.0000.9960.9921.000

Missing values

2023-12-13T02:08:00.620683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:08:00.724788image/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

연번시설명시설소재지 주소전화번호승인일자
01A+평화요양원서울특별시 중랑구 중랑천로 52(면목동)02-433-74482020-02-10
12골든시니어케어센터서울특별시 중랑구 중랑구 동일로 917-4(묵동)02-973-33352019-12-09
23장원서울요양원서울특별시 중랑구 용마공원로2길12(망우동)02-436-69002021-03-02
34상봉요양원요양센터서울특별시 중랑구 용마산로 485(망우동)02-2209-97762015-07-31
45서울꽃동네신내노인요양원서울특별시 중랑구 신내로 194 (신내동)02-490-26002001-05-11
56서울시립중랑노인전문요양원서울특별시 중랑구 양원역로 38 (망우동)02-437-01442015-03-01
67영지요양원서울특별시 중랑구 봉우재로 47 (면목동)02-447-76212016-08-25
78유린원광노인요양원서울특별시 중랑구 신내로 56 (신내동)02-438-40932010-03-01
89중랑삼성 요양원서울특별시 중랑구 동일로91가길 27(면목동)02-493-98982020-03-26
910한세노인복지센터서울특별시 중랑구 신내로 50-5 (신내동,3층)02-438-10202011-03-28
연번시설명시설소재지 주소전화번호승인일자
4041효심(가)요양원서울특별시 중랑구 망우로 171, 5층 (중화동)070-4543-73662014-10-01
4142효심(나)요양원서울특별시 중랑구 망우로 171, 6층 (중화동)070-4543-73662014-10-01
4243효심(다)요양원서울특별시 중랑구 망우로 171, 6층 (중화동)070-4543-73692015-10-01
4344효심(라)요양원서울특별시 중랑구 망우로 171, 6층 (중화동)070-4543-73692015-10-01
4445효심요양원1호서울특별시 중랑구 망우로 171, 4층 (중화동)070-4543-73672017-09-18
4546효심요양원2호서울특별시 중랑구 망우로 171, 4층 (중화동)070-4543-73672017-09-18
4647효원노인복지센터A서울특별시 중랑구 상봉중앙로1길 12 (상봉동, 세광빌딩3층)02-438-06062010-03-01
4748효원노인복지센터B서울특별시 중랑구 상봉중앙로1길 12 (상봉동, 세광빌딩3층)02-438-06062013-09-16
4849효원노인복지센터C서울특별시 중랑구 상봉중앙로1길 12 (상봉동, 세광빌딩4층)02-438-06062013-09-16
4950효원노인복지센터D서울특별시 중랑구 상봉중앙로1길 12 (상봉동, 세광빌딩4층)02-438-06062013-09-16