Overview

Dataset statistics

Number of variables5
Number of observations129
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.3 KiB
Average record size in memory42.0 B

Variable types

Numeric1
Categorical1
Text3

Dataset

Description부산 금정구 소재 전체 마을회관 및 경로당 현황에 대한 데이터로 경로당명, 소재지, 전화번호 등의 항목을 제공합니다.
Author부산광역시 금정구
URLhttps://www.data.go.kr/data/15025637/fileData.do

Alerts

연번 is highly overall correlated with 동명High correlation
동명 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:58:58.106722
Analysis finished2023-12-12 12:58:58.830227
Duration0.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct129
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65
Minimum1
Maximum129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-12T21:58:58.892846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.4
Q133
median65
Q397
95-th percentile122.6
Maximum129
Range128
Interquartile range (IQR)64

Descriptive statistics

Standard deviation37.383151
Coefficient of variation (CV)0.5751254
Kurtosis-1.2
Mean65
Median Absolute Deviation (MAD)32
Skewness0
Sum8385
Variance1397.5
MonotonicityStrictly increasing
2023-12-12T21:58:59.028150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
98 1
 
0.8%
96 1
 
0.8%
95 1
 
0.8%
94 1
 
0.8%
93 1
 
0.8%
92 1
 
0.8%
91 1
 
0.8%
90 1
 
0.8%
89 1
 
0.8%
Other values (119) 119
92.2%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
129 1
0.8%
128 1
0.8%
127 1
0.8%
126 1
0.8%
125 1
0.8%
124 1
0.8%
123 1
0.8%
122 1
0.8%
121 1
0.8%
120 1
0.8%

동명
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)12.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
부곡4동
14 
금사동
10 
부곡2동
10 
남산동
10 
구서1동
10 
Other values (11)
75 

Length

Max length5
Median length4
Mean length3.751938
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서1동
2nd row서1동
3rd row서1동
4th row서1동
5th row서1동

Common Values

ValueCountFrequency (%)
부곡4동 14
10.9%
금사동 10
 
7.8%
부곡2동 10
 
7.8%
남산동 10
 
7.8%
구서1동 10
 
7.8%
구서2동 10
 
7.8%
장전2동 9
 
7.0%
선두구동 9
 
7.0%
장전1동 8
 
6.2%
청룡노포동 8
 
6.2%
Other values (6) 31
24.0%

Length

2023-12-12T21:58:59.161877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
부곡4동 14
10.9%
금사동 10
 
7.8%
부곡2동 10
 
7.8%
남산동 10
 
7.8%
구서1동 10
 
7.8%
구서2동 10
 
7.8%
장전2동 9
 
7.0%
선두구동 9
 
7.0%
장전1동 8
 
6.2%
청룡노포동 8
 
6.2%
Other values (6) 31
24.0%

경로당명
Text

Distinct128
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T21:58:59.368366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length16
Mean length9.7674419
Min length5

Characters and Unicode

Total characters1260
Distinct characters177
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

Unique127 ?
Unique (%)98.4%

Sample

1st row서1동 경로당
2nd row서1동 새마을 경로당
3rd row동진 경로당
4th row장수 경로당
5th row장수부녀 경로당
ValueCountFrequency (%)
경로당 107
39.3%
할머니 6
 
2.2%
할아버지 6
 
2.2%
현대아파트 2
 
0.7%
우성a 2
 
0.7%
뉴그린아파트 2
 
0.7%
머드레 2
 
0.7%
기찰 2
 
0.7%
구서 2
 
0.7%
부곡 2
 
0.7%
Other values (132) 139
51.1%
2023-12-12T21:58:59.767931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
143
 
11.3%
경 136
 
10.8%
로 131
 
10.4%
당 129
 
10.2%
아 45
 
3.6%
파 33
 
2.6%
트 33
 
2.6%
할 28
 
2.2%
머 20
 
1.6%
동 20
 
1.6%
Other values (167) 542
43.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1031
81.8%
Space Separator 143
 
11.3%
Uppercase Letter 27
 
2.1%
Decimal Number 23
 
1.8%
Other Punctuation 16
 
1.3%
Open Punctuation 9
 
0.7%
Close Punctuation 9
 
0.7%
Lowercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 136
 
13.2%
로 131
 
12.7%
당 129
 
12.5%
아 45
 
4.4%
파 33
 
3.2%
트 33
 
3.2%
할 28
 
2.7%
머 20
 
1.9%
동 20
 
1.9%
지 19
 
1.8%
Other values (145) 437
42.4%
Uppercase Letter
ValueCountFrequency (%)
A 13
48.1%
S 3
 
11.1%
G 2
 
7.4%
K 2
 
7.4%
V 1
 
3.7%
I 1
 
3.7%
W 1
 
3.7%
E 1
 
3.7%
P 1
 
3.7%
T 1
 
3.7%
Other Punctuation
ValueCountFrequency (%)
. 14
87.5%
, 1
 
6.2%
: 1
 
6.2%
Decimal Number
ValueCountFrequency (%)
2 10
43.5%
1 9
39.1%
3 4
 
17.4%
Lowercase Letter
ValueCountFrequency (%)
k 1
50.0%
s 1
50.0%
Space Separator
ValueCountFrequency (%)
143
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1031
81.8%
Common 200
 
15.9%
Latin 29
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 136
 
13.2%
로 131
 
12.7%
당 129
 
12.5%
아 45
 
4.4%
파 33
 
3.2%
트 33
 
3.2%
할 28
 
2.7%
머 20
 
1.9%
동 20
 
1.9%
지 19
 
1.8%
Other values (145) 437
42.4%
Latin
ValueCountFrequency (%)
A 13
44.8%
S 3
 
10.3%
G 2
 
6.9%
K 2
 
6.9%
V 1
 
3.4%
I 1
 
3.4%
W 1
 
3.4%
E 1
 
3.4%
P 1
 
3.4%
T 1
 
3.4%
Other values (3) 3
 
10.3%
Common
ValueCountFrequency (%)
143
71.5%
. 14
 
7.0%
2 10
 
5.0%
( 9
 
4.5%
1 9
 
4.5%
) 9
 
4.5%
3 4
 
2.0%
, 1
 
0.5%
: 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1031
81.8%
ASCII 229
 
18.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
143
62.4%
. 14
 
6.1%
A 13
 
5.7%
2 10
 
4.4%
( 9
 
3.9%
1 9
 
3.9%
) 9
 
3.9%
3 4
 
1.7%
S 3
 
1.3%
G 2
 
0.9%
Other values (12) 13
 
5.7%
Hangul
ValueCountFrequency (%)
경 136
 
13.2%
로 131
 
12.7%
당 129
 
12.5%
아 45
 
4.4%
파 33
 
3.2%
트 33
 
3.2%
할 28
 
2.7%
머 20
 
1.9%
동 20
 
1.9%
지 19
 
1.8%
Other values (145) 437
42.4%

소재지
Text

Distinct105
Distinct (%)81.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T21:59:00.054874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length32
Mean length27.20155
Min length17

Characters and Unicode

Total characters3509
Distinct characters120
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

Unique81 ?
Unique (%)62.8%

Sample

1st row부산광역시 금정구 서동로103번길22-5 (302-1182)
2nd row부산광역시 금정구 서부로69번길35 (519-11)
3rd row부산광역시 금정구 명서로45번길11 (302-1885)
4th row부산광역시 금정구 서동로99번길11 (520-77)
5th row부산광역시 금정구 서동로99번길11 (520-77)
ValueCountFrequency (%)
부산광역시 129
24.6%
금정구 129
24.6%
548-2 2
 
0.4%
517-3 2
 
0.4%
직장1길31 2
 
0.4%
노포동761-7 2
 
0.4%
안뜰로7번길12-5 2
 
0.4%
182-22 2
 
0.4%
동부곡로15번길42-1 2
 
0.4%
285-6 2
 
0.4%
Other values (208) 250
47.7%
2023-12-12T21:59:00.508012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
395
 
11.3%
1 210
 
6.0%
2 172
 
4.9%
금 157
 
4.5%
부 143
 
4.1%
구 138
 
3.9%
산 138
 
3.9%
정 135
 
3.8%
시 132
 
3.8%
광 129
 
3.7%
Other values (110) 1760
50.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1700
48.4%
Decimal Number 1022
29.1%
Space Separator 395
 
11.3%
Close Punctuation 127
 
3.6%
Open Punctuation 127
 
3.6%
Dash Punctuation 125
 
3.6%
Other Punctuation 13
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
금 157
 
9.2%
부 143
 
8.4%
구 138
 
8.1%
산 138
 
8.1%
정 135
 
7.9%
시 132
 
7.8%
광 129
 
7.6%
역 129
 
7.6%
로 120
 
7.1%
길 79
 
4.6%
Other values (94) 400
23.5%
Decimal Number
ValueCountFrequency (%)
1 210
20.5%
2 172
16.8%
3 101
9.9%
5 101
9.9%
7 93
9.1%
6 84
 
8.2%
0 72
 
7.0%
8 67
 
6.6%
9 62
 
6.1%
4 60
 
5.9%
Other Punctuation
ValueCountFrequency (%)
. 8
61.5%
, 5
38.5%
Space Separator
ValueCountFrequency (%)
395
100.0%
Close Punctuation
ValueCountFrequency (%)
) 127
100.0%
Open Punctuation
ValueCountFrequency (%)
( 127
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 125
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1809
51.6%
Hangul 1700
48.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
금 157
 
9.2%
부 143
 
8.4%
구 138
 
8.1%
산 138
 
8.1%
정 135
 
7.9%
시 132
 
7.8%
광 129
 
7.6%
역 129
 
7.6%
로 120
 
7.1%
길 79
 
4.6%
Other values (94) 400
23.5%
Common
ValueCountFrequency (%)
395
21.8%
1 210
11.6%
2 172
9.5%
) 127
 
7.0%
( 127
 
7.0%
- 125
 
6.9%
3 101
 
5.6%
5 101
 
5.6%
7 93
 
5.1%
6 84
 
4.6%
Other values (6) 274
15.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1809
51.6%
Hangul 1700
48.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
395
21.8%
1 210
11.6%
2 172
9.5%
) 127
 
7.0%
( 127
 
7.0%
- 125
 
6.9%
3 101
 
5.6%
5 101
 
5.6%
7 93
 
5.1%
6 84
 
4.6%
Other values (6) 274
15.1%
Hangul
ValueCountFrequency (%)
금 157
 
9.2%
부 143
 
8.4%
구 138
 
8.1%
산 138
 
8.1%
정 135
 
7.9%
시 132
 
7.8%
광 129
 
7.6%
역 129
 
7.6%
로 120
 
7.1%
길 79
 
4.6%
Other values (94) 400
23.5%

전화번호
Text

Distinct125
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T21:59:00.813658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.031008
Min length12

Characters and Unicode

Total characters1552
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

Unique121 ?
Unique (%)93.8%

Sample

1st row051-523-4880
2nd row051-527-8825
3rd row051-523-3474
4th row051-529-3969
5th row051-528-6389
ValueCountFrequency (%)
051-515-8597 2
 
1.6%
051-527-8439 2
 
1.6%
051-516-3820 2
 
1.6%
051-508-5715 2
 
1.6%
051-508-1469 1
 
0.8%
051-523-4880 1
 
0.8%
051-508-0370 1
 
0.8%
051-508-0544 1
 
0.8%
051-508-9580 1
 
0.8%
051-508-5455 1
 
0.8%
Other values (115) 115
89.1%
2023-12-12T21:59:01.289665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 319
20.6%
- 258
16.6%
1 245
15.8%
0 217
14.0%
8 101
 
6.5%
2 94
 
6.1%
3 85
 
5.5%
7 67
 
4.3%
6 62
 
4.0%
4 59
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1294
83.4%
Dash Punctuation 258
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 319
24.7%
1 245
18.9%
0 217
16.8%
8 101
 
7.8%
2 94
 
7.3%
3 85
 
6.6%
7 67
 
5.2%
6 62
 
4.8%
4 59
 
4.6%
9 45
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 258
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1552
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 319
20.6%
- 258
16.6%
1 245
15.8%
0 217
14.0%
8 101
 
6.5%
2 94
 
6.1%
3 85
 
5.5%
7 67
 
4.3%
6 62
 
4.0%
4 59
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1552
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 319
20.6%
- 258
16.6%
1 245
15.8%
0 217
14.0%
8 101
 
6.5%
2 94
 
6.1%
3 85
 
5.5%
7 67
 
4.3%
6 62
 
4.0%
4 59
 
3.8%

Interactions

2023-12-12T21:58:58.360852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:59:01.455760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번동명
연번1.0000.971
동명0.9711.000
2023-12-12T21:59:01.694312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번동명
연번1.0000.844
동명0.8441.000

Missing values

2023-12-12T21:58:58.718660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:58:58.799202image/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

연번동명경로당명소재지전화번호
01서1동서1동 경로당부산광역시 금정구 서동로103번길22-5 (302-1182)051-523-4880
12서1동서1동 새마을 경로당부산광역시 금정구 서부로69번길35 (519-11)051-527-8825
23서1동동진 경로당부산광역시 금정구 명서로45번길11 (302-1885)051-523-3474
34서1동장수 경로당부산광역시 금정구 서동로99번길11 (520-77)051-529-3969
45서1동장수부녀 경로당부산광역시 금정구 서동로99번길11 (520-77)051-528-6389
56서1동희망오차마을 경로당부산광역시 금정구 서동로104번길34 (서동560-137)051-521-5454
67서2동삼한여명아파트경로당부산광역시 금정구 중군진로27 (228-1)051-523-8062
78서2동서2동할머니 경로당부산광역시 금정구 명서로45번길99 (302-1889)051-524-6282
89서2동서2동할아 버지경로당부산광역시 금정구 명서로45번길99 (302-1889)051-527-1709
910서2동현대아파트 경로당부산광역시 금정구 옥봉로13번길6 (255)051-522-5765
연번동명경로당명소재지전화번호
119120구서2동안뜰 경로당부산광역시 금정구 안뜰로7번길12-5 (182-22)051-513-7633
120121구서2동안뜰할머니 경로당부산광역시 금정구 안뜰로7번길12-5 (182-22)051-514-8091
121122구서2동청남구 경로당부산광역시 금정구 두실로37번길9 (1017-1)051-518-1223
122123구서2동일신A. 경로당부산광역시 금정구 두실로45번길102 (1025)051-517-9207
123124구서2동롯데캐슬 골드2단지 경로당부산광역시 금정구 금강로503 (1049)051-512-1090
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