Overview

Dataset statistics

Number of variables4
Number of observations327
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.3 KiB
Average record size in memory32.4 B

Variable types

Text4

Dataset

Description경상남도 양산시 경로당 설치 현황을 확인할 수 있습니다. 경로당명, 회원수, 주소, 연락처 등 읍면동으로 정렬된 경로당 현황입니다.
Author경상남도 양산시
URLhttps://www.data.go.kr/data/15045251/fileData.do

Reproduction

Analysis started2024-03-14 17:48:01.207960
Analysis finished2024-03-14 17:48:02.386164
Duration1.18 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

경로당명
Text

Distinct321
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-03-15T02:48:03.585999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length14
Mean length4.8256881
Min length2

Characters and Unicode

Total characters1578
Distinct characters236
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

Unique316 ?
Unique (%)96.6%

Sample

1st row동부
2nd row서부
3rd row증산(상리)
4th row남평
5th row신기
ValueCountFrequency (%)
서부 3
 
0.9%
새진흥 2
 
0.6%
대성 2
 
0.6%
동부 2
 
0.6%
평산 2
 
0.6%
남부 2
 
0.6%
중리 2
 
0.6%
백학 2
 
0.6%
신기해강아파트 1
 
0.3%
동원아파트 1
 
0.3%
Other values (314) 314
94.3%
2024-03-15T02:48:05.048543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
아 78
 
4.9%
트 71
 
4.5%
파 69
 
4.4%
동 56
 
3.5%
차 55
 
3.5%
산 37
 
2.3%
대 30
 
1.9%
리 30
 
1.9%
신 29
 
1.8%
2 29
 
1.8%
Other values (226) 1094
69.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1440
91.3%
Decimal Number 87
 
5.5%
Open Punctuation 14
 
0.9%
Close Punctuation 14
 
0.9%
Space Separator 9
 
0.6%
Uppercase Letter 8
 
0.5%
Dash Punctuation 3
 
0.2%
Lowercase Letter 2
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 78
 
5.4%
트 71
 
4.9%
파 69
 
4.8%
동 56
 
3.9%
차 55
 
3.8%
산 37
 
2.6%
대 30
 
2.1%
리 30
 
2.1%
신 29
 
2.0%
지 26
 
1.8%
Other values (210) 959
66.6%
Decimal Number
ValueCountFrequency (%)
2 29
33.3%
1 21
24.1%
3 12
13.8%
5 8
 
9.2%
4 7
 
8.0%
6 4
 
4.6%
8 3
 
3.4%
7 3
 
3.4%
Uppercase Letter
ValueCountFrequency (%)
L 4
50.0%
H 4
50.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%
Other Punctuation
ValueCountFrequency (%)
@ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1440
91.3%
Common 128
 
8.1%
Latin 10
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 78
 
5.4%
트 71
 
4.9%
파 69
 
4.8%
동 56
 
3.9%
차 55
 
3.8%
산 37
 
2.6%
대 30
 
2.1%
리 30
 
2.1%
신 29
 
2.0%
지 26
 
1.8%
Other values (210) 959
66.6%
Common
ValueCountFrequency (%)
2 29
22.7%
1 21
16.4%
( 14
10.9%
) 14
10.9%
3 12
9.4%
9
 
7.0%
5 8
 
6.2%
4 7
 
5.5%
6 4
 
3.1%
8 3
 
2.3%
Other values (3) 7
 
5.5%
Latin
ValueCountFrequency (%)
L 4
40.0%
H 4
40.0%
e 2
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1440
91.3%
ASCII 138
 
8.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
아 78
 
5.4%
트 71
 
4.9%
파 69
 
4.8%
동 56
 
3.9%
차 55
 
3.8%
산 37
 
2.6%
대 30
 
2.1%
리 30
 
2.1%
신 29
 
2.0%
지 26
 
1.8%
Other values (210) 959
66.6%
ASCII
ValueCountFrequency (%)
2 29
21.0%
1 21
15.2%
( 14
10.1%
) 14
10.1%
3 12
8.7%
9
 
6.5%
5 8
 
5.8%
4 7
 
5.1%
L 4
 
2.9%
6 4
 
2.9%
Other values (6) 16
11.6%

주소
Text

Distinct326
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-03-15T02:48:06.019183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length26
Mean length16.262997
Min length6

Characters and Unicode

Total characters5318
Distinct characters214
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

Unique325 ?
Unique (%)99.4%

Sample

1st row 양산시 물금읍학산2길 9-9
2nd row 양산시 물금읍화산길 51-15
3rd row 양산시 물금읍증산1길 31
4th row 양산시 물금읍남평길 6
5th row 양산시 물금읍 가촌새터3길7-27
ValueCountFrequency (%)
양산시 302
26.2%
상북면 36
 
3.1%
동면 28
 
2.4%
하북면 24
 
2.1%
원동면 24
 
2.1%
물금읍 24
 
2.1%
양주로 11
 
1.0%
11 8
 
0.7%
18 8
 
0.7%
16 7
 
0.6%
Other values (496) 682
59.1%
2024-03-15T02:48:07.468687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1093
20.6%
산 373
 
7.0%
양 346
 
6.5%
시 330
 
6.2%
1 279
 
5.2%
길 183
 
3.4%
로 146
 
2.7%
동 120
 
2.3%
2 118
 
2.2%
면 118
 
2.2%
Other values (204) 2212
41.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3170
59.6%
Space Separator 1093
 
20.6%
Decimal Number 957
 
18.0%
Dash Punctuation 42
 
0.8%
Close Punctuation 24
 
0.5%
Open Punctuation 24
 
0.5%
Other Punctuation 7
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 373
 
11.8%
양 346
 
10.9%
시 330
 
10.4%
길 183
 
5.8%
로 146
 
4.6%
동 120
 
3.8%
면 118
 
3.7%
북 84
 
2.6%
금 78
 
2.5%
물 66
 
2.1%
Other values (187) 1326
41.8%
Decimal Number
ValueCountFrequency (%)
1 279
29.2%
2 118
12.3%
3 92
 
9.6%
5 86
 
9.0%
4 85
 
8.9%
7 78
 
8.2%
6 63
 
6.6%
8 57
 
6.0%
0 55
 
5.7%
9 44
 
4.6%
Other Punctuation
ValueCountFrequency (%)
, 4
57.1%
@ 3
42.9%
Space Separator
ValueCountFrequency (%)
1093
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3170
59.6%
Common 2147
40.4%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 373
 
11.8%
양 346
 
10.9%
시 330
 
10.4%
길 183
 
5.8%
로 146
 
4.6%
동 120
 
3.8%
면 118
 
3.7%
북 84
 
2.6%
금 78
 
2.5%
물 66
 
2.1%
Other values (187) 1326
41.8%
Common
ValueCountFrequency (%)
1093
50.9%
1 279
 
13.0%
2 118
 
5.5%
3 92
 
4.3%
5 86
 
4.0%
4 85
 
4.0%
7 78
 
3.6%
6 63
 
2.9%
8 57
 
2.7%
0 55
 
2.6%
Other values (6) 141
 
6.6%
Latin
ValueCountFrequency (%)
e 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3170
59.6%
ASCII 2148
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1093
50.9%
1 279
 
13.0%
2 118
 
5.5%
3 92
 
4.3%
5 86
 
4.0%
4 85
 
4.0%
7 78
 
3.6%
6 63
 
2.9%
8 57
 
2.7%
0 55
 
2.6%
Other values (7) 142
 
6.6%
Hangul
ValueCountFrequency (%)
산 373
 
11.8%
양 346
 
10.9%
시 330
 
10.4%
길 183
 
5.8%
로 146
 
4.6%
동 120
 
3.8%
면 118
 
3.7%
북 84
 
2.6%
금 78
 
2.5%
물 66
 
2.1%
Other values (187) 1326
41.8%

회원수
Text

Distinct60
Distinct (%)18.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-03-15T02:48:08.381543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length2
Mean length2.0152905
Min length2

Characters and Unicode

Total characters659
Distinct characters17
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)4.6%

Sample

1st row43
2nd row49
3rd row52
4th row54
5th row56
ValueCountFrequency (%)
22 23
 
7.0%
26 18
 
5.5%
27 17
 
5.2%
23 17
 
5.2%
24 17
 
5.2%
30 16
 
4.9%
20 16
 
4.9%
25 14
 
4.3%
32 13
 
4.0%
31 13
 
4.0%
Other values (51) 164
50.0%
2024-03-15T02:48:09.673064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 197
29.9%
3 110
16.7%
4 75
 
11.4%
5 56
 
8.5%
1 46
 
7.0%
0 44
 
6.7%
6 42
 
6.4%
7 31
 
4.7%
8 27
 
4.1%
9 24
 
3.6%
Other values (7) 7
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 652
98.9%
Other Letter 6
 
0.9%
Space Separator 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 197
30.2%
3 110
16.9%
4 75
 
11.5%
5 56
 
8.6%
1 46
 
7.1%
0 44
 
6.7%
6 42
 
6.4%
7 31
 
4.8%
8 27
 
4.1%
9 24
 
3.7%
Other Letter
ValueCountFrequency (%)
데 1
16.7%
이 1
16.7%
터 1
16.7%
미 1
16.7%
집 1
16.7%
계 1
16.7%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 653
99.1%
Hangul 6
 
0.9%

Most frequent character per script

Common
ValueCountFrequency (%)
2 197
30.2%
3 110
16.8%
4 75
 
11.5%
5 56
 
8.6%
1 46
 
7.0%
0 44
 
6.7%
6 42
 
6.4%
7 31
 
4.7%
8 27
 
4.1%
9 24
 
3.7%
Hangul
ValueCountFrequency (%)
데 1
16.7%
이 1
16.7%
터 1
16.7%
미 1
16.7%
집 1
16.7%
계 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 653
99.1%
Hangul 6
 
0.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 197
30.2%
3 110
16.8%
4 75
 
11.5%
5 56
 
8.6%
1 46
 
7.0%
0 44
 
6.7%
6 42
 
6.4%
7 31
 
4.7%
8 27
 
4.1%
9 24
 
3.7%
Hangul
ValueCountFrequency (%)
데 1
16.7%
이 1
16.7%
터 1
16.7%
미 1
16.7%
집 1
16.7%
계 1
16.7%

연락처
Text

Distinct238
Distinct (%)72.8%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-03-15T02:48:10.779292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.66055
Min length7

Characters and Unicode

Total characters3486
Distinct characters18
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique235 ?
Unique (%)71.9%

Sample

1st row055-384-5123
2nd row055-384-4177
3rd row055-383-9734
4th row055-372-0588
5th row055-381-0170
ValueCountFrequency (%)
데이터 88
 
21.2%
미집계 88
 
21.2%
055-374-0285 2
 
0.5%
055-362-0009 2
 
0.5%
055-388-0093 1
 
0.2%
055-385-0032 1
 
0.2%
055-363-0037 1
 
0.2%
055-372-2654 1
 
0.2%
055-388-0994 1
 
0.2%
055-386-9798 1
 
0.2%
Other values (229) 229
55.2%
2024-03-15T02:48:12.334566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 600
17.2%
- 478
13.7%
0 381
10.9%
3 348
10.0%
8 232
 
6.7%
6 170
 
4.9%
7 161
 
4.6%
2 147
 
4.2%
1 135
 
3.9%
4 117
 
3.4%
Other values (8) 717
20.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2392
68.6%
Other Letter 528
 
15.1%
Dash Punctuation 478
 
13.7%
Space Separator 88
 
2.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 600
25.1%
0 381
15.9%
3 348
14.5%
8 232
 
9.7%
6 170
 
7.1%
7 161
 
6.7%
2 147
 
6.1%
1 135
 
5.6%
4 117
 
4.9%
9 101
 
4.2%
Other Letter
ValueCountFrequency (%)
이 88
16.7%
계 88
16.7%
집 88
16.7%
미 88
16.7%
터 88
16.7%
데 88
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 478
100.0%
Space Separator
ValueCountFrequency (%)
88
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2958
84.9%
Hangul 528
 
15.1%

Most frequent character per script

Common
ValueCountFrequency (%)
5 600
20.3%
- 478
16.2%
0 381
12.9%
3 348
11.8%
8 232
 
7.8%
6 170
 
5.7%
7 161
 
5.4%
2 147
 
5.0%
1 135
 
4.6%
4 117
 
4.0%
Other values (2) 189
 
6.4%
Hangul
ValueCountFrequency (%)
이 88
16.7%
계 88
16.7%
집 88
16.7%
미 88
16.7%
터 88
16.7%
데 88
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2958
84.9%
Hangul 528
 
15.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 600
20.3%
- 478
16.2%
0 381
12.9%
3 348
11.8%
8 232
 
7.8%
6 170
 
5.7%
7 161
 
5.4%
2 147
 
5.0%
1 135
 
4.6%
4 117
 
4.0%
Other values (2) 189
 
6.4%
Hangul
ValueCountFrequency (%)
이 88
16.7%
계 88
16.7%
집 88
16.7%
미 88
16.7%
터 88
16.7%
데 88
16.7%

Missing values

2024-03-15T02:48:01.854349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T02:48:02.250962image/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

경로당명주소회원수연락처
0동부양산시 물금읍학산2길 9-943055-384-5123
1서부양산시 물금읍화산길 51-1549055-384-4177
2증산(상리)양산시 물금읍증산1길 3152055-383-9734
3남평양산시 물금읍남평길 654055-372-0588
4신기양산시 물금읍 가촌새터3길7-2756055-381-0170
5가촌(본리)양산시 물금읍가촌본리1길 943055-372-0592
6서남양산시 물금읍서남4길 821055-387-2103
7황전아파트양산시 물금읍오봉로 1541055-387-2157
8덕산아파트양산시 물금읍오봉로 2935055-385-9693
9동중양산시 물금읍동중5길 24-156055-389-1612
경로당명주소회원수연락처
317동일2차양산시 덕계5길 14 동일스위트2차아파트22055-362-0599
318삼성양산시 덕계7길 6-77 (덕계동)31055-365-5745
319덕계시장세신상가아파트양산시 덕계2길 5-21 (세신주상복합형@)2동707호23055-366-8389
320웅상쇼핑타운양산시 덕계로 105 (웅상프라자)24055-387-1627
321덕계2마을양산시 덕계5길 7-6622055-365-4985
322경동스마트홈양산시 신덕계로3418055-364-8565
323동양산우성양산시 덕계회야길 1622데이터 미집계
324두산위브2양산시 신덕계8길 37(양산두산위브)22데이터 미집계
325두산위브 두리마을양산시 신덕계8길 40,(덕계동, 두산위브2차2단지)20데이터 미집계
326두산위브1양산시 신덕계3길36(양산두산위브)31데이터 미집계