Overview

Dataset statistics

Number of variables6
Number of observations307
Missing cells96
Missing cells (%)5.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.5 KiB
Average record size in memory48.4 B

Variable types

Categorical3
Text3

Dataset

Description경상남도 양산시 경로당 설치 현황을 확인할 수 있습니다. 경로당명, 회원수, 주소, 연락처 등 읍면동으로 정렬된 경로당 현황입니다.
Author경상남도 양산시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15045251

Alerts

유형 has constant value ""Constant
분류 has constant value ""Constant
전화번호 has 96 (31.3%) missing valuesMissing

Reproduction

Analysis started2023-12-11 01:03:51.289651
Analysis finished2023-12-11 01:03:51.785197
Duration0.5 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

유형
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
노인여가복지시설
307 

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 307
100.0%

Length

2023-12-11T10:03:51.859777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T10:03:51.964978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노인여가복지시설 307
100.0%

분류
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
경로당
307 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경로당 307
100.0%

Length

2023-12-11T10:03:52.058671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T10:03:52.166379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경로당 307
100.0%

지역
Categorical

Distinct13
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
물금읍
56 
상북면
37 
동면
26 
하북면
25 
서창동
25 
Other values (8)
138 

Length

Max length3
Median length3
Mean length2.9153094
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
물금읍 56
18.2%
상북면 37
12.1%
동면 26
8.5%
하북면 25
8.1%
서창동 25
8.1%
원동면 24
7.8%
평산동 21
 
6.8%
중앙동 19
 
6.2%
삼성동 18
 
5.9%
소주동 17
 
5.5%
Other values (3) 39
12.7%

Length

2023-12-11T10:03:52.264258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
물금읍 56
18.2%
상북면 37
12.1%
동면 26
8.5%
하북면 25
8.1%
서창동 25
8.1%
원동면 24
7.8%
평산동 21
 
6.8%
중앙동 19
 
6.2%
삼성동 18
 
5.9%
소주동 17
 
5.5%
Other values (3) 39
12.7%

기관명
Text

Distinct302
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2023-12-11T10:03:52.482407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length7.9185668
Min length5

Characters and Unicode

Total characters2431
Distinct characters222
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

Unique298 ?
Unique (%)97.1%

Sample

1st row동부경로당
2nd row서부경로당
3rd row증산(상리)경로당
4th row남평경로당
5th row신기경로당
ValueCountFrequency (%)
서부경로당 3
 
1.0%
경로당 3
 
1.0%
평산경로당 2
 
0.6%
동부경로당 2
 
0.6%
대성경로당 2
 
0.6%
중리경로당 2
 
0.6%
신기해강아파트경로당 1
 
0.3%
덕계시장세신상가아파트경로당 1
 
0.3%
신기한마음(서동)경로당 1
 
0.3%
상신기경로당 1
 
0.3%
Other values (296) 296
94.3%
2023-12-11T10:03:52.961760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
경 314
 
12.9%
로 313
 
12.9%
당 310
 
12.8%
아 85
 
3.5%
트 80
 
3.3%
파 78
 
3.2%
동 57
 
2.3%
차 55
 
2.3%
산 30
 
1.2%
대 30
 
1.2%
Other values (212) 1079
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2282
93.9%
Decimal Number 83
 
3.4%
Close Punctuation 22
 
0.9%
Open Punctuation 22
 
0.9%
Space Separator 8
 
0.3%
Uppercase Letter 6
 
0.2%
Dash Punctuation 3
 
0.1%
Other Punctuation 3
 
0.1%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 314
 
13.8%
로 313
 
13.7%
당 310
 
13.6%
아 85
 
3.7%
트 80
 
3.5%
파 78
 
3.4%
동 57
 
2.5%
차 55
 
2.4%
산 30
 
1.3%
대 30
 
1.3%
Other values (196) 930
40.8%
Decimal Number
ValueCountFrequency (%)
2 27
32.5%
1 20
24.1%
3 12
14.5%
4 7
 
8.4%
5 7
 
8.4%
6 4
 
4.8%
8 3
 
3.6%
7 3
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
H 3
50.0%
L 3
50.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Punctuation
ValueCountFrequency (%)
@ 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2282
93.9%
Common 141
 
5.8%
Latin 8
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 314
 
13.8%
로 313
 
13.7%
당 310
 
13.6%
아 85
 
3.7%
트 80
 
3.5%
파 78
 
3.4%
동 57
 
2.5%
차 55
 
2.4%
산 30
 
1.3%
대 30
 
1.3%
Other values (196) 930
40.8%
Common
ValueCountFrequency (%)
2 27
19.1%
) 22
15.6%
( 22
15.6%
1 20
14.2%
3 12
8.5%
8
 
5.7%
4 7
 
5.0%
5 7
 
5.0%
6 4
 
2.8%
8 3
 
2.1%
Other values (3) 9
 
6.4%
Latin
ValueCountFrequency (%)
H 3
37.5%
L 3
37.5%
e 2
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2282
93.9%
ASCII 149
 
6.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
경 314
 
13.8%
로 313
 
13.7%
당 310
 
13.6%
아 85
 
3.7%
트 80
 
3.5%
파 78
 
3.4%
동 57
 
2.5%
차 55
 
2.4%
산 30
 
1.3%
대 30
 
1.3%
Other values (196) 930
40.8%
ASCII
ValueCountFrequency (%)
2 27
18.1%
) 22
14.8%
( 22
14.8%
1 20
13.4%
3 12
8.1%
8
 
5.4%
4 7
 
4.7%
5 7
 
4.7%
6 4
 
2.7%
8 3
 
2.0%
Other values (6) 17
11.4%

도로명 주소
Text

Distinct306
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2023-12-11T10:03:53.313970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length25
Mean length16.169381
Min length10

Characters and Unicode

Total characters4964
Distinct characters203
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

Unique305 ?
Unique (%)99.3%

Sample

1st row양산시 물금읍 학산2길 9-9
2nd row양산시 물금읍 화산길 51-15
3rd row양산시 물금읍 증산1길 31
4th row양산시 물금읍 남평길 6
5th row양산시 물금읍 가촌새터3길 7-27
ValueCountFrequency (%)
양산시 307
26.3%
물금읍 54
 
4.6%
상북면 37
 
3.2%
동면 26
 
2.2%
하북면 25
 
2.1%
원동면 24
 
2.1%
양주로 11
 
0.9%
11 8
 
0.7%
6 7
 
0.6%
7 7
 
0.6%
Other values (465) 663
56.7%
2023-12-11T10:03:53.873923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
903
18.2%
산 348
 
7.0%
양 326
 
6.6%
시 312
 
6.3%
1 259
 
5.2%
길 174
 
3.5%
로 135
 
2.7%
2 115
 
2.3%
면 112
 
2.3%
동 110
 
2.2%
Other values (193) 2170
43.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2964
59.7%
Space Separator 903
 
18.2%
Decimal Number 894
 
18.0%
Open Punctuation 79
 
1.6%
Close Punctuation 79
 
1.6%
Dash Punctuation 41
 
0.8%
Other Punctuation 3
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 348
 
11.7%
양 326
 
11.0%
시 312
 
10.5%
길 174
 
5.9%
로 135
 
4.6%
면 112
 
3.8%
동 110
 
3.7%
북 84
 
2.8%
금 73
 
2.5%
물 62
 
2.1%
Other values (177) 1228
41.4%
Decimal Number
ValueCountFrequency (%)
1 259
29.0%
2 115
12.9%
3 87
 
9.7%
5 83
 
9.3%
4 76
 
8.5%
7 68
 
7.6%
6 62
 
6.9%
8 53
 
5.9%
0 48
 
5.4%
9 43
 
4.8%
Space Separator
ValueCountFrequency (%)
903
100.0%
Open Punctuation
ValueCountFrequency (%)
( 79
100.0%
Close Punctuation
ValueCountFrequency (%)
) 79
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%
Other Punctuation
ValueCountFrequency (%)
@ 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2964
59.7%
Common 1999
40.3%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 348
 
11.7%
양 326
 
11.0%
시 312
 
10.5%
길 174
 
5.9%
로 135
 
4.6%
면 112
 
3.8%
동 110
 
3.7%
북 84
 
2.8%
금 73
 
2.5%
물 62
 
2.1%
Other values (177) 1228
41.4%
Common
ValueCountFrequency (%)
903
45.2%
1 259
 
13.0%
2 115
 
5.8%
3 87
 
4.4%
5 83
 
4.2%
( 79
 
4.0%
) 79
 
4.0%
4 76
 
3.8%
7 68
 
3.4%
6 62
 
3.1%
Other values (5) 188
 
9.4%
Latin
ValueCountFrequency (%)
e 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2964
59.7%
ASCII 2000
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
903
45.1%
1 259
 
13.0%
2 115
 
5.8%
3 87
 
4.3%
5 83
 
4.2%
( 79
 
4.0%
) 79
 
4.0%
4 76
 
3.8%
7 68
 
3.4%
6 62
 
3.1%
Other values (6) 189
 
9.4%
Hangul
ValueCountFrequency (%)
산 348
 
11.7%
양 326
 
11.0%
시 312
 
10.5%
길 174
 
5.9%
로 135
 
4.6%
면 112
 
3.8%
동 110
 
3.7%
북 84
 
2.8%
금 73
 
2.5%
물 62
 
2.1%
Other values (177) 1228
41.4%

전화번호
Text

MISSING 

Distinct210
Distinct (%)99.5%
Missing96
Missing (%)31.3%
Memory size2.5 KiB
2023-12-11T10:03:54.169757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters2532
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

Unique209 ?
Unique (%)99.1%

Sample

1st row055-384-5123
2nd row055-384-4177
3rd row055-383-9734
4th row055-372-0588
5th row055-384-4524
ValueCountFrequency (%)
055-382-2654 2
 
0.9%
055-364-0390 1
 
0.5%
055-389-1273 1
 
0.5%
055-384-4521 1
 
0.5%
055-384-5123 1
 
0.5%
055-388-0093 1
 
0.5%
055-386-8015 1
 
0.5%
055-366-2552 1
 
0.5%
055-388-8561 1
 
0.5%
055-385-9065 1
 
0.5%
Other values (200) 200
94.8%
2023-12-11T10:03:54.544867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 538
21.2%
- 422
16.7%
0 318
12.6%
3 308
12.2%
8 218
8.6%
6 145
 
5.7%
7 134
 
5.3%
2 133
 
5.3%
4 114
 
4.5%
1 114
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2110
83.3%
Dash Punctuation 422
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 538
25.5%
0 318
15.1%
3 308
14.6%
8 218
10.3%
6 145
 
6.9%
7 134
 
6.4%
2 133
 
6.3%
4 114
 
5.4%
1 114
 
5.4%
9 88
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 422
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2532
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 538
21.2%
- 422
16.7%
0 318
12.6%
3 308
12.2%
8 218
8.6%
6 145
 
5.7%
7 134
 
5.3%
2 133
 
5.3%
4 114
 
4.5%
1 114
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2532
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 538
21.2%
- 422
16.7%
0 318
12.6%
3 308
12.2%
8 218
8.6%
6 145
 
5.7%
7 134
 
5.3%
2 133
 
5.3%
4 114
 
4.5%
1 114
 
4.5%

Missing values

2023-12-11T10:03:51.622916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T10:03:51.731200image/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

유형분류지역기관명도로명 주소전화번호
0노인여가복지시설경로당물금읍동부경로당양산시 물금읍 학산2길 9-9055-384-5123
1노인여가복지시설경로당물금읍서부경로당양산시 물금읍 화산길 51-15055-384-4177
2노인여가복지시설경로당물금읍증산(상리)경로당양산시 물금읍 증산1길 31055-383-9734
3노인여가복지시설경로당물금읍남평경로당양산시 물금읍 남평길 6055-372-0588
4노인여가복지시설경로당물금읍신기경로당양산시 물금읍 가촌새터3길 7-27055-384-4524
5노인여가복지시설경로당물금읍가촌(본리)경로당양산시 물금읍 가촌본리1길 9055-372-0592
6노인여가복지시설경로당물금읍서남경로당양산시 물금읍 서남4길 8055-387-2103
7노인여가복지시설경로당물금읍황전아파트경로당양산시 물금읍 오봉로 15055-372-2157
8노인여가복지시설경로당물금읍덕산아파트경로당양산시 물금읍 오봉로 29055-385-9693
9노인여가복지시설경로당물금읍동중경로당양산시 물금읍 동중5길 24-1055-385-3961
유형분류지역기관명도로명 주소전화번호
297노인여가복지시설경로당덕계동외산경로당양산시 매곡외산로 100055-388-2191
298노인여가복지시설경로당덕계동대승1차경로당양산시 웅상대로 866055-388-4176
299노인여가복지시설경로당덕계동대승2차경로당양산시 덕계북길 9 (대승하이아트2차아파트)<NA>
300노인여가복지시설경로당덕계동매곡경로당양산시 매곡외산로 216 (매곡동)055-365-5745
301노인여가복지시설경로당덕계동동일2차경로당양산시 덕계5길 14 (동일스위트2차아파트)055-366-8389
302노인여가복지시설경로당덕계동삼성경로당양산시 덕계7길 6-77 (덕계동)055-387-1622
303노인여가복지시설경로당덕계동덕계시장세신상가아파트경로당양산시 덕계2길 5-21 (세신주상복합형@)2동707호<NA>
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