Overview

Dataset statistics

Number of variables12
Number of observations64
Missing cells36
Missing cells (%)4.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.3 KiB
Average record size in memory100.1 B

Variable types

Numeric2
Categorical2
Text6
DateTime2

Dataset

Description울산광역시 북구 노인복지시설 현황입니다.센터명, 주소, 전화번호, 개설일, 입소정원 등에 대한 항목을 포함합니다.
Author울산광역시 북구
URLhttps://www.data.go.kr/data/15115755/fileData.do

Alerts

구군명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 시설종류High correlation
시설종류 is highly overall correlated with 연번High correlation
팩스번호 has 1 (1.6%) missing valuesMissing
입소정원 has 35 (54.7%) missing valuesMissing
연번 has unique valuesUnique
센터명 has unique valuesUnique

Reproduction

Analysis started2024-03-16 04:12:26.742355
Analysis finished2024-03-16 04:12:29.888182
Duration3.15 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.5
Minimum1
Maximum64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-03-16T13:12:30.065584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.15
Q116.75
median32.5
Q348.25
95-th percentile60.85
Maximum64
Range63
Interquartile range (IQR)31.5

Descriptive statistics

Standard deviation18.618987
Coefficient of variation (CV)0.5728919
Kurtosis-1.2
Mean32.5
Median Absolute Deviation (MAD)16
Skewness0
Sum2080
Variance346.66667
MonotonicityStrictly increasing
2024-03-16T13:12:30.308416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.6%
34 1
 
1.6%
36 1
 
1.6%
37 1
 
1.6%
38 1
 
1.6%
39 1
 
1.6%
40 1
 
1.6%
41 1
 
1.6%
42 1
 
1.6%
43 1
 
1.6%
Other values (54) 54
84.4%
ValueCountFrequency (%)
1 1
1.6%
2 1
1.6%
3 1
1.6%
4 1
1.6%
5 1
1.6%
6 1
1.6%
7 1
1.6%
8 1
1.6%
9 1
1.6%
10 1
1.6%
ValueCountFrequency (%)
64 1
1.6%
63 1
1.6%
62 1
1.6%
61 1
1.6%
60 1
1.6%
59 1
1.6%
58 1
1.6%
57 1
1.6%
56 1
1.6%
55 1
1.6%

구군명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size644.0 B
울산북구
64 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
울산북구 64
100.0%

Length

2024-03-16T13:12:30.551894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T13:12:30.699709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
울산북구 64
100.0%

센터명
Text

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size644.0 B
2024-03-16T13:12:30.968284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length9.625
Min length5

Characters and Unicode

Total characters616
Distinct characters118
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique64 ?
Unique (%)100.0%

Sample

1st row울산북구실버케어센터
2nd row울산명성노인전문요양원
3rd row엘림종합복지센터
4th row울산현대요양원
5th row연세요양원
ValueCountFrequency (%)
주야간보호 2
 
2.9%
엘림종합복지센터 2
 
2.9%
청담종합복지센터 2
 
2.9%
울산북구실버케어센터 1
 
1.5%
참사랑노인복지센터 1
 
1.5%
지역노인복지센터 1
 
1.5%
만수재가복지센터 1
 
1.5%
활기찬방문요양센터 1
 
1.5%
사랑나눔재가복지센터 1
 
1.5%
정다운노인복지센터 1
 
1.5%
Other values (55) 55
80.9%
2024-03-16T13:12:31.449038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
터 57
 
9.3%
센 57
 
9.3%
복 46
 
7.5%
지 45
 
7.3%
인 32
 
5.2%
노 32
 
5.2%
재 31
 
5.0%
가 29
 
4.7%
호 11
 
1.8%
간 10
 
1.6%
Other values (108) 266
43.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 608
98.7%
Space Separator 4
 
0.6%
Uppercase Letter 2
 
0.3%
Math Symbol 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
터 57
 
9.4%
센 57
 
9.4%
복 46
 
7.6%
지 45
 
7.4%
인 32
 
5.3%
노 32
 
5.3%
재 31
 
5.1%
가 29
 
4.8%
호 11
 
1.8%
간 10
 
1.6%
Other values (105) 258
42.4%
Space Separator
ValueCountFrequency (%)
4
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 608
98.7%
Common 6
 
1.0%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
터 57
 
9.4%
센 57
 
9.4%
복 46
 
7.6%
지 45
 
7.4%
인 32
 
5.3%
노 32
 
5.3%
재 31
 
5.1%
가 29
 
4.8%
호 11
 
1.8%
간 10
 
1.6%
Other values (105) 258
42.4%
Common
ValueCountFrequency (%)
4
66.7%
+ 2
33.3%
Latin
ValueCountFrequency (%)
A 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 608
98.7%
ASCII 8
 
1.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
터 57
 
9.4%
센 57
 
9.4%
복 46
 
7.6%
지 45
 
7.4%
인 32
 
5.3%
노 32
 
5.3%
재 31
 
5.1%
가 29
 
4.8%
호 11
 
1.8%
간 10
 
1.6%
Other values (105) 258
42.4%
ASCII
ValueCountFrequency (%)
4
50.0%
A 2
25.0%
+ 2
25.0%

시설종류
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Memory size644.0 B
방문요양+방문목욕
16 
주야간보호+방문요양
11 
방문요양
8 
노인요양시설
6 
주야간보호
5 
Other values (11)
18 

Length

Max length21
Median length17
Mean length8.5
Min length4

Unique

Unique6 ?
Unique (%)9.4%

Sample

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

Common Values

ValueCountFrequency (%)
방문요양+방문목욕 16
25.0%
주야간보호+방문요양 11
17.2%
방문요양 8
12.5%
노인요양시설 6
 
9.4%
주야간보호 5
 
7.8%
노인요양공동생활가정 3
 
4.7%
방문요양+ 방문목욕 3
 
4.7%
주야간보호+방문요양+방문목욕 2
 
3.1%
방문간호 2
 
3.1%
복지용구제공사업소 2
 
3.1%
Other values (6) 6
 
9.4%

Length

2024-03-16T13:12:31.869451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
방문요양+방문목욕 16
22.2%
방문요양 14
19.4%
주야간보호+방문요양 11
15.3%
주야간보호 7
9.7%
노인요양시설 6
 
8.3%
방문목욕 5
 
6.9%
노인요양공동생활가정 3
 
4.2%
주야간보호+방문요양+방문목욕 2
 
2.8%
방문간호 2
 
2.8%
복지용구제공사업소 2
 
2.8%
Other values (3) 4
 
5.6%

주소
Text

Distinct59
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Memory size644.0 B
2024-03-16T13:12:32.282434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length35
Mean length27.078125
Min length21

Characters and Unicode

Total characters1733
Distinct characters107
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

Unique54 ?
Unique (%)84.4%

Sample

1st row울산광역시 북구 중산공업로 167 (중산동)
2nd row울산광역시 북구 덕곡길 47 (천곡동)
3rd row울산광역시 북구 농서로 71-30 (상안동)
4th row울산광역시 북구 두부곡1길 20 (연암동)
5th row울산광역시 북구 명촌1길 17-4, 2층 (진장동)
ValueCountFrequency (%)
울산광역시 64
 
17.2%
북구 64
 
17.2%
호계동 14
 
3.8%
2층 12
 
3.2%
1층 10
 
2.7%
연암동 7
 
1.9%
호계로 7
 
1.9%
6 6
 
1.6%
화봉동 5
 
1.3%
중산동 4
 
1.1%
Other values (127) 179
48.1%
2024-03-16T13:12:33.086154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
308
 
17.8%
동 80
 
4.6%
1 79
 
4.6%
산 77
 
4.4%
시 65
 
3.8%
구 65
 
3.8%
울 64
 
3.7%
) 64
 
3.7%
( 64
 
3.7%
광 64
 
3.7%
Other values (97) 803
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 958
55.3%
Space Separator 308
 
17.8%
Decimal Number 274
 
15.8%
Close Punctuation 64
 
3.7%
Open Punctuation 64
 
3.7%
Other Punctuation 46
 
2.7%
Dash Punctuation 16
 
0.9%
Uppercase Letter 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 80
 
8.4%
산 77
 
8.0%
시 65
 
6.8%
구 65
 
6.8%
울 64
 
6.7%
광 64
 
6.7%
북 64
 
6.7%
역 64
 
6.7%
호 42
 
4.4%
길 40
 
4.2%
Other values (80) 333
34.8%
Decimal Number
ValueCountFrequency (%)
1 79
28.8%
2 62
22.6%
3 27
 
9.9%
0 26
 
9.5%
6 17
 
6.2%
4 16
 
5.8%
7 15
 
5.5%
8 14
 
5.1%
5 12
 
4.4%
9 6
 
2.2%
Uppercase Letter
ValueCountFrequency (%)
C 2
66.7%
K 1
33.3%
Space Separator
ValueCountFrequency (%)
308
100.0%
Close Punctuation
ValueCountFrequency (%)
) 64
100.0%
Open Punctuation
ValueCountFrequency (%)
( 64
100.0%
Other Punctuation
ValueCountFrequency (%)
, 46
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 958
55.3%
Common 772
44.5%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 80
 
8.4%
산 77
 
8.0%
시 65
 
6.8%
구 65
 
6.8%
울 64
 
6.7%
광 64
 
6.7%
북 64
 
6.7%
역 64
 
6.7%
호 42
 
4.4%
길 40
 
4.2%
Other values (80) 333
34.8%
Common
ValueCountFrequency (%)
308
39.9%
1 79
 
10.2%
) 64
 
8.3%
( 64
 
8.3%
2 62
 
8.0%
, 46
 
6.0%
3 27
 
3.5%
0 26
 
3.4%
6 17
 
2.2%
4 16
 
2.1%
Other values (5) 63
 
8.2%
Latin
ValueCountFrequency (%)
C 2
66.7%
K 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 958
55.3%
ASCII 775
44.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
308
39.7%
1 79
 
10.2%
) 64
 
8.3%
( 64
 
8.3%
2 62
 
8.0%
, 46
 
5.9%
3 27
 
3.5%
0 26
 
3.4%
6 17
 
2.2%
4 16
 
2.1%
Other values (7) 66
 
8.5%
Hangul
ValueCountFrequency (%)
동 80
 
8.4%
산 77
 
8.0%
시 65
 
6.8%
구 65
 
6.8%
울 64
 
6.7%
광 64
 
6.7%
북 64
 
6.7%
역 64
 
6.7%
호 42
 
4.4%
길 40
 
4.2%
Other values (80) 333
34.8%

전화번호
Text

Distinct61
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Memory size644.0 B
2024-03-16T13:12:33.552594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters768
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

Unique58 ?
Unique (%)90.6%

Sample

1st row052-286-8800
2nd row052-286-7111
3rd row052-295-0003
4th row052-288-3358
5th row052-716-6991
ValueCountFrequency (%)
052-294-0050 2
 
3.1%
052-295-0003 2
 
3.1%
052-282-1110 2
 
3.1%
052-288-8430 1
 
1.6%
052-289-3099 1
 
1.6%
052-933-3998 1
 
1.6%
052-289-9547 1
 
1.6%
052-289-5587 1
 
1.6%
052-298-1004 1
 
1.6%
052-285-0870 1
 
1.6%
Other values (51) 51
79.7%
2024-03-16T13:12:34.406986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 150
19.5%
- 128
16.7%
0 127
16.5%
5 96
12.5%
8 70
9.1%
9 54
 
7.0%
1 42
 
5.5%
7 34
 
4.4%
3 27
 
3.5%
4 25
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 640
83.3%
Dash Punctuation 128
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 150
23.4%
0 127
19.8%
5 96
15.0%
8 70
10.9%
9 54
 
8.4%
1 42
 
6.6%
7 34
 
5.3%
3 27
 
4.2%
4 25
 
3.9%
6 15
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 128
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 768
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 150
19.5%
- 128
16.7%
0 127
16.5%
5 96
12.5%
8 70
9.1%
9 54
 
7.0%
1 42
 
5.5%
7 34
 
4.4%
3 27
 
3.5%
4 25
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 768
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 150
19.5%
- 128
16.7%
0 127
16.5%
5 96
12.5%
8 70
9.1%
9 54
 
7.0%
1 42
 
5.5%
7 34
 
4.4%
3 27
 
3.5%
4 25
 
3.3%

팩스번호
Text

MISSING 

Distinct59
Distinct (%)93.7%
Missing1
Missing (%)1.6%
Memory size644.0 B
2024-03-16T13:12:34.837853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.095238
Min length12

Characters and Unicode

Total characters762
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

Unique55 ?
Unique (%)87.3%

Sample

1st row052-286-8802
2nd row052-286-7118
3rd row052-295-3066
4th row070-4523-9628
5th row052-716-6992
ValueCountFrequency (%)
052-294-0051 2
 
3.2%
052-970-3651 2
 
3.2%
052-295-3066 2
 
3.2%
052-281-0180 2
 
3.2%
052-933-3997 1
 
1.6%
052-298-2006 1
 
1.6%
052-285-0871 1
 
1.6%
052-970-7855 1
 
1.6%
052-281-4110 1
 
1.6%
052-297-9183 1
 
1.6%
Other values (49) 49
77.8%
2024-03-16T13:12:35.800512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 137
18.0%
- 127
16.7%
0 120
15.7%
5 89
11.7%
8 65
8.5%
9 52
 
6.8%
1 52
 
6.8%
7 40
 
5.2%
3 29
 
3.8%
4 26
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 635
83.3%
Dash Punctuation 127
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 137
21.6%
0 120
18.9%
5 89
14.0%
8 65
10.2%
9 52
 
8.2%
1 52
 
8.2%
7 40
 
6.3%
3 29
 
4.6%
4 26
 
4.1%
6 25
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 127
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 762
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 137
18.0%
- 127
16.7%
0 120
15.7%
5 89
11.7%
8 65
8.5%
9 52
 
6.8%
1 52
 
6.8%
7 40
 
5.2%
3 29
 
3.8%
4 26
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 762
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 137
18.0%
- 127
16.7%
0 120
15.7%
5 89
11.7%
8 65
8.5%
9 52
 
6.8%
1 52
 
6.8%
7 40
 
5.2%
3 29
 
3.8%
4 26
 
3.4%

대표명
Text

Distinct58
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Memory size644.0 B
2024-03-16T13:12:36.166762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters192
Distinct characters82
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

Unique52 ?
Unique (%)81.2%

Sample

1st row오현석
2nd row오병호
3rd row이명자
4th row엄은선
5th row서원석
ValueCountFrequency (%)
김채현 2
 
3.1%
권오헌 2
 
3.1%
오병호 2
 
3.1%
이명자 2
 
3.1%
허대영 2
 
3.1%
김철호 2
 
3.1%
박정기 1
 
1.6%
장성수 1
 
1.6%
김광훈 1
 
1.6%
박정희 1
 
1.6%
Other values (48) 48
75.0%
2024-03-16T13:12:37.287262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 14
 
7.3%
현 10
 
5.2%
정 8
 
4.2%
이 8
 
4.2%
박 8
 
4.2%
호 7
 
3.6%
영 7
 
3.6%
권 5
 
2.6%
오 5
 
2.6%
기 5
 
2.6%
Other values (72) 115
59.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 192
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 14
 
7.3%
현 10
 
5.2%
정 8
 
4.2%
이 8
 
4.2%
박 8
 
4.2%
호 7
 
3.6%
영 7
 
3.6%
권 5
 
2.6%
오 5
 
2.6%
기 5
 
2.6%
Other values (72) 115
59.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 192
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 14
 
7.3%
현 10
 
5.2%
정 8
 
4.2%
이 8
 
4.2%
박 8
 
4.2%
호 7
 
3.6%
영 7
 
3.6%
권 5
 
2.6%
오 5
 
2.6%
기 5
 
2.6%
Other values (72) 115
59.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 192
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 14
 
7.3%
현 10
 
5.2%
정 8
 
4.2%
이 8
 
4.2%
박 8
 
4.2%
호 7
 
3.6%
영 7
 
3.6%
권 5
 
2.6%
오 5
 
2.6%
기 5
 
2.6%
Other values (72) 115
59.9%

시설장
Text

Distinct61
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Memory size644.0 B
2024-03-16T13:12:37.663526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.0625
Min length3

Characters and Unicode

Total characters196
Distinct characters78
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique58 ?
Unique (%)90.6%

Sample

1st row박종진
2nd row최현정
3rd row이영주
4th row이민정
5th row서원석
ValueCountFrequency (%)
김채현 2
 
3.1%
최현정 2
 
3.1%
허대영 2
 
3.1%
우아미 1
 
1.6%
심태숙 1
 
1.6%
권순정 1
 
1.6%
김철호 1
 
1.6%
추성순 1
 
1.6%
장수민 1
 
1.6%
박정희 1
 
1.6%
Other values (51) 51
79.7%
2024-03-16T13:12:38.153405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
정 11
 
5.6%
박 11
 
5.6%
현 10
 
5.1%
김 9
 
4.6%
이 8
 
4.1%
영 7
 
3.6%
순 6
 
3.1%
옥 5
 
2.6%
태 5
 
2.6%
우 4
 
2.0%
Other values (68) 120
61.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 195
99.5%
Math Symbol 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 11
 
5.6%
박 11
 
5.6%
현 10
 
5.1%
김 9
 
4.6%
이 8
 
4.1%
영 7
 
3.6%
순 6
 
3.1%
옥 5
 
2.6%
태 5
 
2.6%
우 4
 
2.1%
Other values (67) 119
61.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 195
99.5%
Common 1
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 11
 
5.6%
박 11
 
5.6%
현 10
 
5.1%
김 9
 
4.6%
이 8
 
4.1%
영 7
 
3.6%
순 6
 
3.1%
옥 5
 
2.6%
태 5
 
2.6%
우 4
 
2.1%
Other values (67) 119
61.0%
Common
ValueCountFrequency (%)
+ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 195
99.5%
ASCII 1
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
정 11
 
5.6%
박 11
 
5.6%
현 10
 
5.1%
김 9
 
4.6%
이 8
 
4.1%
영 7
 
3.6%
순 6
 
3.1%
옥 5
 
2.6%
태 5
 
2.6%
우 4
 
2.1%
Other values (67) 119
61.0%
ASCII
ValueCountFrequency (%)
+ 1
100.0%

개설일
Date

Distinct57
Distinct (%)89.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
Minimum2004-11-08 00:00:00
Maximum2024-01-01 00:00:00
2024-03-16T13:12:38.329344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:12:38.560704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

입소정원
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)82.8%
Missing35
Missing (%)54.7%
Infinite0
Infinite (%)0.0%
Mean40.482759
Minimum8
Maximum151
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-03-16T13:12:38.781951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile9
Q120
median32
Q348
95-th percentile86.4
Maximum151
Range143
Interquartile range (IQR)28

Descriptive statistics

Standard deviation30.508337
Coefficient of variation (CV)0.75361309
Kurtosis5.0741268
Mean40.482759
Median Absolute Deviation (MAD)13
Skewness1.9073363
Sum1174
Variance930.75862
MonotonicityNot monotonic
2024-03-16T13:12:39.011050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
9 3
 
4.7%
29 2
 
3.1%
31 2
 
3.1%
42 2
 
3.1%
32 1
 
1.6%
16 1
 
1.6%
38 1
 
1.6%
67 1
 
1.6%
48 1
 
1.6%
17 1
 
1.6%
Other values (14) 14
 
21.9%
(Missing) 35
54.7%
ValueCountFrequency (%)
8 1
 
1.6%
9 3
4.7%
16 1
 
1.6%
17 1
 
1.6%
19 1
 
1.6%
20 1
 
1.6%
22 1
 
1.6%
24 1
 
1.6%
29 2
3.1%
31 2
3.1%
ValueCountFrequency (%)
151 1
1.6%
88 1
1.6%
84 1
1.6%
70 1
1.6%
67 1
1.6%
65 1
1.6%
55 1
1.6%
48 1
1.6%
45 1
1.6%
42 2
3.1%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size644.0 B
Minimum2024-03-11 00:00:00
Maximum2024-03-11 00:00:00
2024-03-16T13:12:39.235556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:12:39.493599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-16T13:12:28.726107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:12:28.474985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:12:28.860189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:12:28.589062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-16T13:12:39.627925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번센터명시설종류주소전화번호팩스번호대표명시설장개설일입소정원
연번1.0001.0000.8980.8700.9380.9010.8340.9430.7890.248
센터명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
시설종류0.8981.0001.0000.0000.9390.0000.9530.9220.0000.000
주소0.8701.0000.0001.0001.0001.0000.9991.0000.9890.379
전화번호0.9381.0000.9391.0001.0001.0001.0001.0000.9950.904
팩스번호0.9011.0000.0001.0001.0001.0000.9980.9980.9930.904
대표명0.8341.0000.9530.9991.0000.9981.0001.0000.9800.379
시설장0.9431.0000.9221.0001.0000.9981.0001.0000.9790.731
개설일0.7891.0000.0000.9890.9950.9930.9800.9791.0000.899
입소정원0.2481.0000.0000.3790.9040.9040.3790.7310.8991.000
2024-03-16T13:12:39.828538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번입소정원시설종류
연번1.000-0.3330.603
입소정원-0.3331.0000.000
시설종류0.6030.0001.000

Missing values

2024-03-16T13:12:29.087761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-16T13:12:29.425249image/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.
2024-03-16T13:12:29.693558image/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

연번구군명센터명시설종류주소전화번호팩스번호대표명시설장개설일입소정원데이터기준일자
01울산북구울산북구실버케어센터노인요양시설울산광역시 북구 중산공업로 167 (중산동)052-286-8800052-286-8802오현석박종진2022-12-26702024-03-11
12울산북구울산명성노인전문요양원노인요양시설울산광역시 북구 덕곡길 47 (천곡동)052-286-7111052-286-7118오병호최현정2008-05-261512024-03-11
23울산북구엘림종합복지센터노인요양시설울산광역시 북구 농서로 71-30 (상안동)052-295-0003052-295-3066이명자이영주2008-06-19882024-03-11
34울산북구울산현대요양원노인요양시설울산광역시 북구 두부곡1길 20 (연암동)052-288-3358070-4523-9628엄은선이민정2018-08-09842024-03-11
45울산북구연세요양원노인요양시설울산광역시 북구 명촌1길 17-4, 2층 (진장동)052-716-6991052-716-6992서원석서원석2022-04-08652024-03-11
56울산북구금빛실버요양원노인요양시설울산광역시 북구 무룡로 128 (연암동)052-288-3590052-288-3591이영호박향매2023-03-31292024-03-11
67울산북구평화노인요양센터노인요양공동생활가정울산광역시 북구 두부곡1길 24 (연암동)052-289-4720052-289-4766김진호김진호2010-03-0182024-03-11
78울산북구청담종합복지센터노인요양공동생활가정울산광역시 북구 동대1길 6 (호계동)052-282-1110052-281-0180허대영허대영2021-03-2492024-03-11
89울산북구백세재활복지센터노인요양공동생활가정울산광역시 북구 호계8길 6 (호계동)052-294-0050052-294-0051김채현김채현2023-05-3092024-03-11
910울산북구강동재가노인복지센터주야간보호+방문요양+방문목욕울산광역시 북구 산하중앙3로 18 (산하동)052-292-4088052-292-7347정해옥정해옥2019-08-12452024-03-11
연번구군명센터명시설종류주소전화번호팩스번호대표명시설장개설일입소정원데이터기준일자
5455울산북구A+마르페 실버케어방문간호+방문요양+방문목욕울산광역시 북구 진장14길 16, 202호 (명촌동)052-222-1945052-222-1944조영호조영호2020-05-25<NA>2024-03-11
5556울산북구A+복음재가복지센터방문간호울산광역시 북구 제내1길 6, 1층 (신천동)052-294-3300052-970-3651안기생안기생2020-06-05<NA>2024-03-11
5657울산북구미소방문간호센터방문간호울산광역시 북구 중산2길 19 (중산동)052-707-8810050-4047-8810이아름이아름2023-05-30<NA>2024-03-11
5758울산북구나눔과섬김복지센터방문요양+ 방문목욕울산광역시 북구 연암2길 48(연암동)052-287-9023052-289-9023고선란김기옥2023-09-01<NA>2024-03-11
5859울산북구도담재가노인복지센터방문요양+ 방문목욕울산광역시 북구 동대12길 30, 203호(호계동, 호계1단지주공아파트 상가동)052-282-2672052-281-2672신진희신진희2024-01-01<NA>2024-03-11
5960울산북구행복나눔재가복지센터방문요양울산광역시 북구 상방로 81, 202호(화봉동, 동아청구아파트 상가동)052-289-3099052-289-3499심태숙심태숙2024-01-01<NA>2024-03-11
6061울산북구한울타리재가노인지원서비스센터방문요양+ 방문목욕+ 재가노인지원서비스울산광역시 북구 상방로 147, 501호(연암동, 보성빌딩)052-288-8430052-288-8431우재권우아미2008-06-04<NA>2024-03-11
6162울산북구북구재가노인지원서비스센터재가노인지원서비스울산광역시 북구 동대11길 49(호계동)052-296-7337<NA>윤운룡우하승2004-11-08<NA>2024-03-11
6263울산북구호계의료기복지용구제공사업소울산광역시 북구 호계로 291-1 (호계동)052-281-5751052-281-5751김정식김정식2009-04-15<NA>2024-03-11
6364울산북구제일종합의료기복지용구제공사업소울산광역시 북구 산업로 1005 (연암동)052-282-1580052-282-1589곽동만곽동만2009-04-22<NA>2024-03-11