Overview

Dataset statistics

Number of variables4
Number of observations213
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.8 KiB
Average record size in memory32.6 B

Variable types

Categorical1
Text3

Dataset

Description경상남도 양산시 읍면동별 공동주택 아파트 현황을 확인할 수 있스니다. 행정동, 아파트 단지명, 도로명 주소, 세대수를 확인할 수 있습니다.
Author경상남도 양산시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3065860

Alerts

도로명주소 has unique valuesUnique

Reproduction

Analysis started2024-04-19 07:02:22.506572
Analysis finished2024-04-19 07:02:22.829107
Duration0.32 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

행정동
Categorical

Distinct12
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
물금읍
55 
서창동
21 
평산동
21 
동면
20 
중앙동
16 
Other values (7)
80 

Length

Max length3
Median length3
Mean length2.9061033
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
물금읍 55
25.8%
서창동 21
 
9.9%
평산동 21
 
9.9%
동면 20
 
9.4%
중앙동 16
 
7.5%
상북면 15
 
7.0%
삼성동 12
 
5.6%
소주동 12
 
5.6%
덕계동 11
 
5.2%
양주동 11
 
5.2%
Other values (2) 19
 
8.9%

Length

2024-04-19T16:02:22.890418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
물금읍 55
25.8%
서창동 21
 
9.9%
평산동 21
 
9.9%
동면 20
 
9.4%
중앙동 16
 
7.5%
상북면 15
 
7.0%
삼성동 12
 
5.6%
소주동 12
 
5.6%
덕계동 11
 
5.2%
양주동 11
 
5.2%
Other values (2) 19
 
8.9%

단지명
Text

Distinct211
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-04-19T16:02:23.163997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length6.1220657
Min length2

Characters and Unicode

Total characters1304
Distinct characters227
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

Unique209 ?
Unique (%)98.1%

Sample

1st row덕성연립
2nd row창조
3rd row협성강변
4th row성신
5th row삼성파크빌(임대)
ValueCountFrequency (%)
동원 3
 
1.2%
일동미라주 2
 
0.8%
휴먼시아 2
 
0.8%
2단지 2
 
0.8%
1단지 2
 
0.8%
두산위브2차 2
 
0.8%
로얄듀크비스타 2
 
0.8%
부영임대 2
 
0.8%
사랑채 2
 
0.8%
삼한 2
 
0.8%
Other values (224) 228
91.6%
2024-04-19T16:02:23.633215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
차 77
 
5.9%
36
 
2.8%
산 35
 
2.7%
대 35
 
2.7%
양 32
 
2.5%
2 30
 
2.3%
동 30
 
2.3%
1 28
 
2.1%
지 25
 
1.9%
신 24
 
1.8%
Other values (217) 952
73.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1125
86.3%
Decimal Number 95
 
7.3%
Space Separator 36
 
2.8%
Close Punctuation 15
 
1.2%
Open Punctuation 15
 
1.2%
Uppercase Letter 11
 
0.8%
Lowercase Letter 6
 
0.5%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
차 77
 
6.8%
산 35
 
3.1%
대 35
 
3.1%
양 32
 
2.8%
동 30
 
2.7%
지 25
 
2.2%
신 24
 
2.1%
우 24
 
2.1%
시 23
 
2.0%
스 21
 
1.9%
Other values (196) 799
71.0%
Decimal Number
ValueCountFrequency (%)
2 30
31.6%
1 28
29.5%
3 14
14.7%
5 7
 
7.4%
4 6
 
6.3%
6 4
 
4.2%
8 3
 
3.2%
7 3
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
L 3
27.3%
H 3
27.3%
C 2
18.2%
K 1
 
9.1%
G 1
 
9.1%
E 1
 
9.1%
Lowercase Letter
ValueCountFrequency (%)
e 4
66.7%
h 1
 
16.7%
t 1
 
16.7%
Space Separator
ValueCountFrequency (%)
36
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1125
86.3%
Common 162
 
12.4%
Latin 17
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
차 77
 
6.8%
산 35
 
3.1%
대 35
 
3.1%
양 32
 
2.8%
동 30
 
2.7%
지 25
 
2.2%
신 24
 
2.1%
우 24
 
2.1%
시 23
 
2.0%
스 21
 
1.9%
Other values (196) 799
71.0%
Common
ValueCountFrequency (%)
36
22.2%
2 30
18.5%
1 28
17.3%
) 15
9.3%
( 15
9.3%
3 14
 
8.6%
5 7
 
4.3%
4 6
 
3.7%
6 4
 
2.5%
8 3
 
1.9%
Other values (2) 4
 
2.5%
Latin
ValueCountFrequency (%)
e 4
23.5%
L 3
17.6%
H 3
17.6%
C 2
11.8%
K 1
 
5.9%
h 1
 
5.9%
t 1
 
5.9%
G 1
 
5.9%
E 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1125
86.3%
ASCII 179
 
13.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
차 77
 
6.8%
산 35
 
3.1%
대 35
 
3.1%
양 32
 
2.8%
동 30
 
2.7%
지 25
 
2.2%
신 24
 
2.1%
우 24
 
2.1%
시 23
 
2.0%
스 21
 
1.9%
Other values (196) 799
71.0%
ASCII
ValueCountFrequency (%)
36
20.1%
2 30
16.8%
1 28
15.6%
) 15
8.4%
( 15
8.4%
3 14
 
7.8%
5 7
 
3.9%
4 6
 
3.4%
6 4
 
2.2%
e 4
 
2.2%
Other values (11) 20
11.2%

도로명주소
Text

UNIQUE 

Distinct213
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-04-19T16:02:23.900927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length18.070423
Min length15

Characters and Unicode

Total characters3849
Distinct characters114
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique213 ?
Unique (%)100.0%

Sample

1st row경상남도 양산시 회현1길 15-3
2nd row경상남도 양산시 회현1길 6
3rd row경상남도 양산시 회현1길 3
4th row경상남도 양산시 두전길 42-3
5th row경상남도 양산시 두전길 42
ValueCountFrequency (%)
경상남도 213
22.6%
양산시 213
22.6%
물금읍 55
 
5.8%
동면 20
 
2.1%
상북면 15
 
1.6%
양주로 11
 
1.2%
하북면 10
 
1.1%
오봉로 7
 
0.7%
14 7
 
0.7%
물금로 6
 
0.6%
Other values (241) 387
41.0%
2024-04-19T16:02:24.277898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
764
19.8%
산 239
 
6.2%
상 232
 
6.0%
양 226
 
5.9%
남 221
 
5.7%
도 215
 
5.6%
시 213
 
5.5%
경 213
 
5.5%
1 153
 
4.0%
로 120
 
3.1%
Other values (104) 1253
32.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2502
65.0%
Space Separator 764
 
19.8%
Decimal Number 568
 
14.8%
Dash Punctuation 13
 
0.3%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 239
 
9.6%
상 232
 
9.3%
양 226
 
9.0%
남 221
 
8.8%
도 215
 
8.6%
시 213
 
8.5%
경 213
 
8.5%
로 120
 
4.8%
길 93
 
3.7%
금 73
 
2.9%
Other values (91) 657
26.3%
Decimal Number
ValueCountFrequency (%)
1 153
26.9%
3 65
11.4%
5 59
 
10.4%
2 55
 
9.7%
4 49
 
8.6%
7 48
 
8.5%
6 42
 
7.4%
9 34
 
6.0%
0 33
 
5.8%
8 30
 
5.3%
Space Separator
ValueCountFrequency (%)
764
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2502
65.0%
Common 1347
35.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 239
 
9.6%
상 232
 
9.3%
양 226
 
9.0%
남 221
 
8.8%
도 215
 
8.6%
시 213
 
8.5%
경 213
 
8.5%
로 120
 
4.8%
길 93
 
3.7%
금 73
 
2.9%
Other values (91) 657
26.3%
Common
ValueCountFrequency (%)
764
56.7%
1 153
 
11.4%
3 65
 
4.8%
5 59
 
4.4%
2 55
 
4.1%
4 49
 
3.6%
7 48
 
3.6%
6 42
 
3.1%
9 34
 
2.5%
0 33
 
2.4%
Other values (3) 45
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2502
65.0%
ASCII 1347
35.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
764
56.7%
1 153
 
11.4%
3 65
 
4.8%
5 59
 
4.4%
2 55
 
4.1%
4 49
 
3.6%
7 48
 
3.6%
6 42
 
3.1%
9 34
 
2.5%
0 33
 
2.4%
Other values (3) 45
 
3.3%
Hangul
ValueCountFrequency (%)
산 239
 
9.6%
상 232
 
9.3%
양 226
 
9.0%
남 221
 
8.8%
도 215
 
8.6%
시 213
 
8.5%
경 213
 
8.5%
로 120
 
4.8%
길 93
 
3.7%
금 73
 
2.9%
Other values (91) 657
26.3%

세대
Text

Distinct178
Distinct (%)83.6%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-04-19T16:02:24.606297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0751174
Min length4

Characters and Unicode

Total characters1081
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique151 ?
Unique (%)70.9%

Sample

1st row 72
2nd row 150
3rd row 390
4th row 473
5th row 625
ValueCountFrequency (%)
40 4
 
1.9%
420 3
 
1.4%
84 3
 
1.4%
160 3
 
1.4%
499 3
 
1.4%
72 3
 
1.4%
998 3
 
1.4%
30 2
 
0.9%
120 2
 
0.9%
60 2
 
0.9%
Other values (167) 185
86.9%
2024-04-19T16:02:25.070515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
424
39.2%
4 83
 
7.7%
1 83
 
7.7%
0 81
 
7.5%
2 71
 
6.6%
6 65
 
6.0%
8 58
 
5.4%
9 56
 
5.2%
3 49
 
4.5%
5 48
 
4.4%
Other values (2) 63
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 630
58.3%
Space Separator 424
39.2%
Other Punctuation 27
 
2.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 83
13.2%
1 83
13.2%
0 81
12.9%
2 71
11.3%
6 65
10.3%
8 58
9.2%
9 56
8.9%
3 49
7.8%
5 48
7.6%
7 36
5.7%
Space Separator
ValueCountFrequency (%)
424
100.0%
Other Punctuation
ValueCountFrequency (%)
, 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1081
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
424
39.2%
4 83
 
7.7%
1 83
 
7.7%
0 81
 
7.5%
2 71
 
6.6%
6 65
 
6.0%
8 58
 
5.4%
9 56
 
5.2%
3 49
 
4.5%
5 48
 
4.4%
Other values (2) 63
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1081
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
424
39.2%
4 83
 
7.7%
1 83
 
7.7%
0 81
 
7.5%
2 71
 
6.6%
6 65
 
6.0%
8 58
 
5.4%
9 56
 
5.2%
3 49
 
4.5%
5 48
 
4.4%
Other values (2) 63
 
5.8%

Missing values

2024-04-19T16:02:22.714473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-19T16:02:22.798409image/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

행정동단지명도로명주소세대
0강서동덕성연립경상남도 양산시 회현1길 15-372
1강서동창조경상남도 양산시 회현1길 6150
2강서동협성강변경상남도 양산시 회현1길 3390
3강서동성신경상남도 양산시 두전길 42-3473
4강서동삼성파크빌(임대)경상남도 양산시 두전길 42625
5강서동로얄파크빌경상남도 양산시 두전길 18445
6강서동일동미라주경상남도 양산시 회현1길 48925
7강서동월드메르디앙1단지경상남도 양산시 교동1길 65164
8강서동월드메르디앙2단지경상남도 양산시 교동1길 74124
9덕계동경보1차경상남도 양산시 덕계회야길 7227
행정동단지명도로명주소세대
203하북면옥수경상남도 양산시 하북면 진목1길 3040
204하북면삼보1차경상남도 양산시 하북면 신평3길 1130
205하북면대영1차경상남도 양산시 하북면 지곡1길 895
206하북면삼보2차경상남도 양산시 하북면 신평로 11-142
207하북면초원1차경상남도 양산시 하북면 지산로 1750
208하북면초원2차경상남도 양산시 하북면 신평5길 680
209하북면대영파크2차경상남도 양산시 하북면 지산로 27-7105
210하북면초원3차경상남도 양산시 하북면 지산로 2960
211하북면진흥목화경상남도 양산시 하북면 용연로 59165
212하북면협진경상남도 양산시 하북면 통도사로 5197