Overview

Dataset statistics

Number of variables7
Number of observations149
Missing cells11
Missing cells (%)1.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.4 KiB
Average record size in memory57.9 B

Variable types

Numeric1
Text3
Categorical3

Dataset

Description부산광역시 북구 관내에 존재하는 경로당 현황으로 시설명, 세부종류, 주소, 전화번호(공란은 개인정보상 공백처리), 영업상태 등의 항목을 제공하고 있습니다
Author부산광역시 북구
URLhttps://www.data.go.kr/data/15085943/fileData.do

Alerts

시설분류 has constant value ""Constant
영업상태 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
동명 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
연번 is highly overall correlated with 동명 and 1 other fieldsHigh correlation
영업상태 is highly imbalanced (89.7%)Imbalance
전화번호 has 11 (7.4%) missing valuesMissing
연번 has unique valuesUnique
경로당명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:47:24.057621
Analysis finished2023-12-12 09:47:24.734051
Duration0.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct149
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75
Minimum1
Maximum149
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T18:47:24.810934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.4
Q138
median75
Q3112
95-th percentile141.6
Maximum149
Range148
Interquartile range (IQR)74

Descriptive statistics

Standard deviation43.156691
Coefficient of variation (CV)0.57542255
Kurtosis-1.2
Mean75
Median Absolute Deviation (MAD)37
Skewness0
Sum11175
Variance1862.5
MonotonicityStrictly increasing
2023-12-12T18:47:24.954741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
95 1
 
0.7%
97 1
 
0.7%
98 1
 
0.7%
99 1
 
0.7%
100 1
 
0.7%
101 1
 
0.7%
102 1
 
0.7%
103 1
 
0.7%
104 1
 
0.7%
Other values (139) 139
93.3%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
149 1
0.7%
148 1
0.7%
147 1
0.7%
146 1
0.7%
145 1
0.7%
144 1
0.7%
143 1
0.7%
142 1
0.7%
141 1
0.7%
140 1
0.7%

경로당명
Text

UNIQUE 

Distinct149
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T18:47:25.157940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length16
Mean length9.8657718
Min length5

Characters and Unicode

Total characters1470
Distinct characters190
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

Unique149 ?
Unique (%)100.0%

Sample

1st row구포동원비스타경로당
2nd row기로사경로당
3rd row구포할머니경로당
4th row구포당산 경로당
5th row시랑로경로당
ValueCountFrequency (%)
경로당 30
 
16.1%
구포동원비스타경로당 1
 
0.5%
함박경로당 1
 
0.5%
백양산동문굿모닝힐아파트2단지경로당 1
 
0.5%
신만덕 1
 
0.5%
유림노르웨이숲 1
 
0.5%
신만덕백양경로당 1
 
0.5%
삼성아파트경로당 1
 
0.5%
만덕2동경로당 1
 
0.5%
일동경로당 1
 
0.5%
Other values (147) 147
79.0%
2023-12-12T18:47:25.503582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
경 139
 
9.5%
로 139
 
9.5%
당 136
 
9.3%
아 79
 
5.4%
파 71
 
4.8%
트 67
 
4.6%
37
 
2.5%
명 25
 
1.7%
화 24
 
1.6%
덕 21
 
1.4%
Other values (180) 732
49.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1360
92.5%
Decimal Number 45
 
3.1%
Space Separator 37
 
2.5%
Close Punctuation 10
 
0.7%
Open Punctuation 10
 
0.7%
Uppercase Letter 4
 
0.3%
Dash Punctuation 2
 
0.1%
Other Punctuation 1
 
0.1%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 139
 
10.2%
로 139
 
10.2%
당 136
 
10.0%
아 79
 
5.8%
파 71
 
5.2%
트 67
 
4.9%
명 25
 
1.8%
화 24
 
1.8%
덕 21
 
1.5%
동 19
 
1.4%
Other values (161) 640
47.1%
Decimal Number
ValueCountFrequency (%)
2 20
44.4%
1 10
22.2%
3 5
 
11.1%
4 3
 
6.7%
5 2
 
4.4%
6 2
 
4.4%
7 1
 
2.2%
9 1
 
2.2%
8 1
 
2.2%
Uppercase Letter
ValueCountFrequency (%)
A 1
25.0%
B 1
25.0%
L 1
25.0%
H 1
25.0%
Space Separator
ValueCountFrequency (%)
37
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1360
92.5%
Common 105
 
7.1%
Latin 5
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 139
 
10.2%
로 139
 
10.2%
당 136
 
10.0%
아 79
 
5.8%
파 71
 
5.2%
트 67
 
4.9%
명 25
 
1.8%
화 24
 
1.8%
덕 21
 
1.5%
동 19
 
1.4%
Other values (161) 640
47.1%
Common
ValueCountFrequency (%)
37
35.2%
2 20
19.0%
) 10
 
9.5%
1 10
 
9.5%
( 10
 
9.5%
3 5
 
4.8%
4 3
 
2.9%
- 2
 
1.9%
5 2
 
1.9%
6 2
 
1.9%
Other values (4) 4
 
3.8%
Latin
ValueCountFrequency (%)
A 1
20.0%
B 1
20.0%
L 1
20.0%
e 1
20.0%
H 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1360
92.5%
ASCII 110
 
7.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
경 139
 
10.2%
로 139
 
10.2%
당 136
 
10.0%
아 79
 
5.8%
파 71
 
5.2%
트 67
 
4.9%
명 25
 
1.8%
화 24
 
1.8%
덕 21
 
1.5%
동 19
 
1.4%
Other values (161) 640
47.1%
ASCII
ValueCountFrequency (%)
37
33.6%
2 20
18.2%
) 10
 
9.1%
1 10
 
9.1%
( 10
 
9.1%
3 5
 
4.5%
4 3
 
2.7%
- 2
 
1.8%
5 2
 
1.8%
6 2
 
1.8%
Other values (9) 9
 
8.2%

시설분류
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
노인여가복지시설
149 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
노인여가복지시설 149
100.0%

Length

2023-12-12T18:47:25.664002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:47:25.818694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노인여가복지시설 149
100.0%

소재지
Text

Distinct147
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T18:47:26.131255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length31
Mean length25.516779
Min length20

Characters and Unicode

Total characters3802
Distinct characters74
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

Unique145 ?
Unique (%)97.3%

Sample

1st row부산광역시 북구 낙동대로 1738번길 10 (구포동)
2nd row부산광역시 북구 낙동대로 1762번길 57 (구포동)
3rd row부산광역시 북구 덕천로 3 (구포동)
4th row부산광역시 북구 팽나무로 30번길 7-13 (구포동)
5th row부산광역시 북구 시랑로 29-1 (구포동)
ValueCountFrequency (%)
부산광역시 149
18.0%
북구 149
18.0%
화명동 33
 
4.0%
만덕동 32
 
3.9%
구포동 31
 
3.7%
금곡동 24
 
2.9%
금곡대로 22
 
2.7%
덕천동 21
 
2.5%
덕천로 17
 
2.1%
효열로 13
 
1.6%
Other values (204) 337
40.7%
2023-12-12T18:47:26.759167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
679
 
17.9%
구 183
 
4.8%
시 170
 
4.5%
동 158
 
4.2%
산 155
 
4.1%
북 151
 
4.0%
부 149
 
3.9%
광 149
 
3.9%
역 149
 
3.9%
) 148
 
3.9%
Other values (64) 1711
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2207
58.0%
Space Separator 679
 
17.9%
Decimal Number 597
 
15.7%
Close Punctuation 148
 
3.9%
Open Punctuation 148
 
3.9%
Dash Punctuation 18
 
0.5%
Other Punctuation 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 183
 
8.3%
시 170
 
7.7%
동 158
 
7.2%
산 155
 
7.0%
북 151
 
6.8%
부 149
 
6.8%
광 149
 
6.8%
역 149
 
6.8%
로 146
 
6.6%
덕 101
 
4.6%
Other values (49) 696
31.5%
Decimal Number
ValueCountFrequency (%)
1 130
21.8%
2 89
14.9%
0 62
10.4%
5 55
9.2%
3 51
 
8.5%
6 48
 
8.0%
4 44
 
7.4%
7 42
 
7.0%
8 40
 
6.7%
9 36
 
6.0%
Space Separator
ValueCountFrequency (%)
679
100.0%
Close Punctuation
ValueCountFrequency (%)
) 148
100.0%
Open Punctuation
ValueCountFrequency (%)
( 148
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2207
58.0%
Common 1595
42.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 183
 
8.3%
시 170
 
7.7%
동 158
 
7.2%
산 155
 
7.0%
북 151
 
6.8%
부 149
 
6.8%
광 149
 
6.8%
역 149
 
6.8%
로 146
 
6.6%
덕 101
 
4.6%
Other values (49) 696
31.5%
Common
ValueCountFrequency (%)
679
42.6%
) 148
 
9.3%
( 148
 
9.3%
1 130
 
8.2%
2 89
 
5.6%
0 62
 
3.9%
5 55
 
3.4%
3 51
 
3.2%
6 48
 
3.0%
4 44
 
2.8%
Other values (5) 141
 
8.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2207
58.0%
ASCII 1595
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
679
42.6%
) 148
 
9.3%
( 148
 
9.3%
1 130
 
8.2%
2 89
 
5.6%
0 62
 
3.9%
5 55
 
3.4%
3 51
 
3.2%
6 48
 
3.0%
4 44
 
2.8%
Other values (5) 141
 
8.8%
Hangul
ValueCountFrequency (%)
구 183
 
8.3%
시 170
 
7.7%
동 158
 
7.2%
산 155
 
7.0%
북 151
 
6.8%
부 149
 
6.8%
광 149
 
6.8%
역 149
 
6.8%
로 146
 
6.6%
덕 101
 
4.6%
Other values (49) 696
31.5%

동명
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
금곡동
25 
구포3동
14 
만덕2동
14 
화명1동
14 
구포2동
12 
Other values (8)
70 

Length

Max length4
Median length4
Mean length3.8322148
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row구포1동
2nd row구포1동
3rd row구포1동
4th row구포1동
5th row구포1동

Common Values

ValueCountFrequency (%)
금곡동 25
16.8%
구포3동 14
9.4%
만덕2동 14
9.4%
화명1동 14
9.4%
구포2동 12
8.1%
화명2동 12
8.1%
만덕1동 11
7.4%
덕천2동 10
 
6.7%
만덕3동 10
 
6.7%
화명3동 8
 
5.4%
Other values (3) 19
12.8%

Length

2023-12-12T18:47:26.910974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
금곡동 25
16.8%
구포3동 14
9.4%
만덕2동 14
9.4%
화명1동 14
9.4%
구포2동 12
8.1%
화명2동 12
8.1%
만덕1동 11
7.4%
덕천2동 10
 
6.7%
만덕3동 10
 
6.7%
화명3동 8
 
5.4%
Other values (3) 19
12.8%

전화번호
Text

MISSING 

Distinct135
Distinct (%)97.8%
Missing11
Missing (%)7.4%
Memory size1.3 KiB
2023-12-12T18:47:27.144890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.007246
Min length12

Characters and Unicode

Total characters1657
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

Unique133 ?
Unique (%)96.4%

Sample

1st row070-8946-2700
2nd row051-332-1777
3rd row051-335-3400
4th row051-332-7421
5th row051-342-4001
ValueCountFrequency (%)
051-336-9886 3
 
2.2%
051-335-0554 2
 
1.4%
051-334-0648 1
 
0.7%
051-338-6605 1
 
0.7%
051-335-3252 1
 
0.7%
051-336-0046 1
 
0.7%
051-338-0115 1
 
0.7%
051-336-0469 1
 
0.7%
051-332-1069 1
 
0.7%
051-337-9766 1
 
0.7%
Other values (125) 125
90.6%
2023-12-12T18:47:27.586532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 276
16.7%
3 267
16.1%
1 236
14.2%
0 224
13.5%
5 203
12.3%
6 112
6.8%
4 103
 
6.2%
2 76
 
4.6%
7 63
 
3.8%
8 52
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1381
83.3%
Dash Punctuation 276
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 267
19.3%
1 236
17.1%
0 224
16.2%
5 203
14.7%
6 112
8.1%
4 103
 
7.5%
2 76
 
5.5%
7 63
 
4.6%
8 52
 
3.8%
9 45
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 276
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1657
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 276
16.7%
3 267
16.1%
1 236
14.2%
0 224
13.5%
5 203
12.3%
6 112
6.8%
4 103
 
6.2%
2 76
 
4.6%
7 63
 
3.8%
8 52
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1657
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 276
16.7%
3 267
16.1%
1 236
14.2%
0 224
13.5%
5 203
12.3%
6 112
6.8%
4 103
 
6.2%
2 76
 
4.6%
7 63
 
3.8%
8 52
 
3.1%

영업상태
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
운영
147 
<NA>
 
2

Length

Max length4
Median length2
Mean length2.0268456
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
운영 147
98.7%
<NA> 2
 
1.3%

Length

2023-12-12T18:47:27.767200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:47:27.904781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영 147
98.7%
na 2
 
1.3%

Interactions

2023-12-12T18:47:24.393741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T18:47:27.972685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번동명
연번1.0000.953
동명0.9531.000
2023-12-12T18:47:28.057130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영업상태동명
영업상태1.0001.000
동명1.0001.000
2023-12-12T18:47:28.162594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번동명영업상태
연번1.0000.8031.000
동명0.8031.0001.000
영업상태1.0001.0001.000

Missing values

2023-12-12T18:47:24.550754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:47:24.681234image/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

연번경로당명시설분류소재지동명전화번호영업상태
01구포동원비스타경로당노인여가복지시설부산광역시 북구 낙동대로 1738번길 10 (구포동)구포1동070-8946-2700운영
12기로사경로당노인여가복지시설부산광역시 북구 낙동대로 1762번길 57 (구포동)구포1동051-332-1777운영
23구포할머니경로당노인여가복지시설부산광역시 북구 덕천로 3 (구포동)구포1동051-335-3400운영
34구포당산 경로당노인여가복지시설부산광역시 북구 팽나무로 30번길 7-13 (구포동)구포1동051-332-7421운영
45시랑로경로당노인여가복지시설부산광역시 북구 시랑로 29-1 (구포동)구포1동<NA>운영
56리버파크 반도유보라경로당노인여가복지시설부산광역시 북구 백양대로 1136 105동구포1동<NA>운영
67성림아파트경로당노인여가복지시설부산광역시 북구 구남로 11 (구포동)구포2동051-342-4001운영
78구남경로당노인여가복지시설부산광역시 북구 구남로 18 (구포동)구포2동051-336-0062운영
89대성아파트경로당노인여가복지시설부산광역시 북구 구남언덕로 20번길 7 (구포동)구포2동051-334-1910운영
910구포 유림노르웨이숲경로당노인여가복지시설부산광역시 북구 낙동북로 737 (구포동)구포2동051-913-4114운영
연번경로당명시설분류소재지동명전화번호영업상태
139140벽산강변타운노인여가복지시설부산광역시 북구 양달로 9번길 21 (화명동)화명2동051-362-0080운영
140141화명푸르지오헤리센트경로당노인여가복지시설부산광역시 북구 산성로 28 (화명동)화명2동<NA>운영
141142용당경로당노인여가복지시설부산광역시 북구 학사로 122-21 (화명동)화명3동051-341-5104운영
142143수정강변타운 경로당노인여가복지시설부산광역시 북구 학사로 17번길 31 (화명동)화명3동051-937-2006운영
143144대우이안아파트 경로당노인여가복지시설부산광역시 북구 화명시도시로 145 (화명동)화명3동051-343-0998운영
144145코오롱하늘채2차아파트경로당노인여가복지시설부산광역시 북구 화명신도시로 100 (화명동)화명3동051-333-5787운영
145146롯데아파트낙천대경로당노인여가복지시설부산광역시 북구 화명신도시로 156 (화명동)화명3동051-334-7620운영
146147대림쌍용강변타운경로당노인여가복지시설부산광역시 북구 화명신도시로 39 (화명동)화명3동051-361-7860운영
147148화명현대2차아파트경로당노인여가복지시설부산광역시 북구 화명신도시로 48 (화명동)화명3동051-334-0648<NA>
148149코오롱하늘채1차아파트경로당노인여가복지시설부산광역시 북구 화명신도시로 70 (화명동)화명3동051-937-0147<NA>