Overview

Dataset statistics

Number of variables5
Number of observations30
Missing cells2
Missing cells (%)1.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory44.4 B

Variable types

Text4
DateTime1

Dataset

Description충청남도 홍성군 내에 존재하는 아파트에 대한 데이터로 아파트 명과 아파트 주소, 아파트 관리사무소 전화번호, 아파트 관리사무소 팩스번호 등을 제공합니다.
URLhttps://www.data.go.kr/data/15081105/fileData.do

Alerts

데이터 기준일 has constant value ""Constant
팩스번호 has 2 (6.7%) missing valuesMissing
아파트명 has unique valuesUnique
도로명주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 11:20:48.695255
Analysis finished2023-12-12 11:20:49.284783
Duration0.59 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

아파트명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-12T20:20:49.522030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length7.5
Min length4

Characters and Unicode

Total characters225
Distinct characters89
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st rowLH스타힐스
2nd row경남아너스빌
3rd row경성아파트
4th row극동스타클래스
5th row남장주공그린빌
ValueCountFrequency (%)
꿈비채홍성내포 2
 
6.1%
lh스타힐스 1
 
3.0%
경남아너스빌 1
 
3.0%
한울마을lh2단지1bl 1
 
3.0%
rl9bl 1
 
3.0%
rl8bl 1
 
3.0%
해링턴플레이스 1
 
3.0%
효성 1
 
3.0%
홍성광천아파트 1
 
3.0%
현대아파트 1
 
3.0%
Other values (22) 22
66.7%
2023-12-12T20:20:50.053912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
아 21
 
9.3%
파 20
 
8.9%
트 18
 
8.0%
L 9
 
4.0%
스 7
 
3.1%
성 5
 
2.2%
지 5
 
2.2%
단 5
 
2.2%
2 5
 
2.2%
B 4
 
1.8%
Other values (79) 126
56.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 191
84.9%
Uppercase Letter 19
 
8.4%
Decimal Number 11
 
4.9%
Space Separator 3
 
1.3%
Dash Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 21
 
11.0%
파 20
 
10.5%
트 18
 
9.4%
스 7
 
3.7%
성 5
 
2.6%
지 5
 
2.6%
단 5
 
2.6%
주 4
 
2.1%
공 4
 
2.1%
광 3
 
1.6%
Other values (66) 99
51.8%
Decimal Number
ValueCountFrequency (%)
2 5
45.5%
1 2
 
18.2%
8 1
 
9.1%
9 1
 
9.1%
3 1
 
9.1%
4 1
 
9.1%
Uppercase Letter
ValueCountFrequency (%)
L 9
47.4%
B 4
21.1%
H 3
 
15.8%
R 2
 
10.5%
S 1
 
5.3%
Space Separator
ValueCountFrequency (%)
3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 191
84.9%
Latin 19
 
8.4%
Common 15
 
6.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 21
 
11.0%
파 20
 
10.5%
트 18
 
9.4%
스 7
 
3.7%
성 5
 
2.6%
지 5
 
2.6%
단 5
 
2.6%
주 4
 
2.1%
공 4
 
2.1%
광 3
 
1.6%
Other values (66) 99
51.8%
Common
ValueCountFrequency (%)
2 5
33.3%
3
20.0%
1 2
 
13.3%
8 1
 
6.7%
9 1
 
6.7%
3 1
 
6.7%
4 1
 
6.7%
- 1
 
6.7%
Latin
ValueCountFrequency (%)
L 9
47.4%
B 4
21.1%
H 3
 
15.8%
R 2
 
10.5%
S 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 191
84.9%
ASCII 34
 
15.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
아 21
 
11.0%
파 20
 
10.5%
트 18
 
9.4%
스 7
 
3.7%
성 5
 
2.6%
지 5
 
2.6%
단 5
 
2.6%
주 4
 
2.1%
공 4
 
2.1%
광 3
 
1.6%
Other values (66) 99
51.8%
ASCII
ValueCountFrequency (%)
L 9
26.5%
2 5
14.7%
B 4
11.8%
H 3
 
8.8%
3
 
8.8%
R 2
 
5.9%
1 2
 
5.9%
8 1
 
2.9%
9 1
 
2.9%
3 1
 
2.9%
Other values (3) 3
 
8.8%

도로명주소
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-12T20:20:50.408257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length24.5
Mean length21.766667
Min length19

Characters and Unicode

Total characters653
Distinct characters48
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

Unique30 ?
Unique (%)100.0%

Sample

1st row충청남도 홍성군 홍북읍 홍예로 213
2nd row충청남도 홍성군 홍북읍 청사로 15
3rd row충청남도 홍성군 홍성읍 문화로 80번길 32-14
4th row충청남도 홍성군 홍북읍 신대로 33
5th row충청남도 홍성군 홍성읍 문화로72번길 92
ValueCountFrequency (%)
충청남도 30
19.9%
홍성군 30
19.9%
홍성읍 15
 
9.9%
홍북읍 13
 
8.6%
문화로72번길 4
 
2.6%
홍학로 3
 
2.0%
신대로 3
 
2.0%
홍예로 2
 
1.3%
남장중로 2
 
1.3%
월산로30번길 2
 
1.3%
Other values (46) 47
31.1%
2023-12-12T20:20:51.584227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
121
18.5%
홍 63
 
9.6%
성 45
 
6.9%
충 33
 
5.1%
청 33
 
5.1%
남 32
 
4.9%
도 32
 
4.9%
군 30
 
4.6%
읍 29
 
4.4%
로 27
 
4.1%
Other values (38) 208
31.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 421
64.5%
Space Separator 121
 
18.5%
Decimal Number 107
 
16.4%
Dash Punctuation 4
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
홍 63
15.0%
성 45
10.7%
충 33
 
7.8%
청 33
 
7.8%
남 32
 
7.6%
도 32
 
7.6%
군 30
 
7.1%
읍 29
 
6.9%
로 27
 
6.4%
길 14
 
3.3%
Other values (26) 83
19.7%
Decimal Number
ValueCountFrequency (%)
1 19
17.8%
2 16
15.0%
3 16
15.0%
4 11
10.3%
5 9
8.4%
7 8
7.5%
0 8
7.5%
8 7
 
6.5%
6 7
 
6.5%
9 6
 
5.6%
Space Separator
ValueCountFrequency (%)
121
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 421
64.5%
Common 232
35.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
홍 63
15.0%
성 45
10.7%
충 33
 
7.8%
청 33
 
7.8%
남 32
 
7.6%
도 32
 
7.6%
군 30
 
7.1%
읍 29
 
6.9%
로 27
 
6.4%
길 14
 
3.3%
Other values (26) 83
19.7%
Common
ValueCountFrequency (%)
121
52.2%
1 19
 
8.2%
2 16
 
6.9%
3 16
 
6.9%
4 11
 
4.7%
5 9
 
3.9%
7 8
 
3.4%
0 8
 
3.4%
8 7
 
3.0%
6 7
 
3.0%
Other values (2) 10
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 421
64.5%
ASCII 232
35.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
121
52.2%
1 19
 
8.2%
2 16
 
6.9%
3 16
 
6.9%
4 11
 
4.7%
5 9
 
3.9%
7 8
 
3.4%
0 8
 
3.4%
8 7
 
3.0%
6 7
 
3.0%
Other values (2) 10
 
4.3%
Hangul
ValueCountFrequency (%)
홍 63
15.0%
성 45
10.7%
충 33
 
7.8%
청 33
 
7.8%
남 32
 
7.6%
도 32
 
7.6%
군 30
 
7.1%
읍 29
 
6.9%
로 27
 
6.4%
길 14
 
3.3%
Other values (26) 83
19.7%

전화번호
Text

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-12T20:20:51.941577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters360
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

Unique28 ?
Unique (%)93.3%

Sample

1st row041-633-0433
2nd row041-634-3036
3rd row041-634-8048
4th row041-634-7263
5th row041-631-6162
ValueCountFrequency (%)
041-631-2983 2
 
6.7%
041-633-0433 1
 
3.3%
041-632-2984 1
 
3.3%
041-631-2208 1
 
3.3%
041-635-1126 1
 
3.3%
041-641-6009 1
 
3.3%
041-633-5324 1
 
3.3%
041-634-6034 1
 
3.3%
041-631-4450 1
 
3.3%
041-634-4844 1
 
3.3%
Other values (19) 19
63.3%
2023-12-12T20:20:52.449842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 60
16.7%
4 56
15.6%
1 54
15.0%
3 46
12.8%
6 44
12.2%
0 42
11.7%
9 16
 
4.4%
2 14
 
3.9%
8 14
 
3.9%
5 11
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 300
83.3%
Dash Punctuation 60
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 56
18.7%
1 54
18.0%
3 46
15.3%
6 44
14.7%
0 42
14.0%
9 16
 
5.3%
2 14
 
4.7%
8 14
 
4.7%
5 11
 
3.7%
7 3
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 360
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 60
16.7%
4 56
15.6%
1 54
15.0%
3 46
12.8%
6 44
12.2%
0 42
11.7%
9 16
 
4.4%
2 14
 
3.9%
8 14
 
3.9%
5 11
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 360
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 60
16.7%
4 56
15.6%
1 54
15.0%
3 46
12.8%
6 44
12.2%
0 42
11.7%
9 16
 
4.4%
2 14
 
3.9%
8 14
 
3.9%
5 11
 
3.1%

팩스번호
Text

MISSING 

Distinct28
Distinct (%)100.0%
Missing2
Missing (%)6.7%
Memory size372.0 B
2023-12-12T20:20:52.826787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters336
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

Unique28 ?
Unique (%)100.0%

Sample

1st row041-633-0450
2nd row041-633-3037
3rd row041-631-9159
4th row041-634-7265
5th row041-631-6164
ValueCountFrequency (%)
041-633-3037 1
 
3.6%
041-631-9159 1
 
3.6%
041-632-0024 1
 
3.6%
041-631-2209 1
 
3.6%
041-635-1127 1
 
3.6%
041-641-6609 1
 
3.6%
041-633-5320 1
 
3.6%
041-634-6037 1
 
3.6%
041-631-4452 1
 
3.6%
041-634-4844 1
 
3.6%
Other values (18) 18
64.3%
2023-12-12T20:20:53.368070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 56
16.7%
1 51
15.2%
4 49
14.6%
0 43
12.8%
6 40
11.9%
3 40
11.9%
9 17
 
5.1%
2 13
 
3.9%
5 12
 
3.6%
8 9
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 280
83.3%
Dash Punctuation 56
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 51
18.2%
4 49
17.5%
0 43
15.4%
6 40
14.3%
3 40
14.3%
9 17
 
6.1%
2 13
 
4.6%
5 12
 
4.3%
8 9
 
3.2%
7 6
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 56
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 336
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 56
16.7%
1 51
15.2%
4 49
14.6%
0 43
12.8%
6 40
11.9%
3 40
11.9%
9 17
 
5.1%
2 13
 
3.9%
5 12
 
3.6%
8 9
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 336
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 56
16.7%
1 51
15.2%
4 49
14.6%
0 43
12.8%
6 40
11.9%
3 40
11.9%
9 17
 
5.1%
2 13
 
3.9%
5 12
 
3.6%
8 9
 
2.7%

데이터 기준일
Date

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2023-05-12 00:00:00
Maximum2023-05-12 00:00:00
2023-12-12T20:20:53.542834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:20:53.703231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-12T20:20:53.847894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
아파트명도로명주소전화번호팩스번호
아파트명1.0001.0001.0001.000
도로명주소1.0001.0001.0001.000
전화번호1.0001.0001.0001.000
팩스번호1.0001.0001.0001.000

Missing values

2023-12-12T20:20:49.068143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:20:49.223758image/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

아파트명도로명주소전화번호팩스번호데이터 기준일
0LH스타힐스충청남도 홍성군 홍북읍 홍예로 213041-633-0433041-633-04502023-05-12
1경남아너스빌충청남도 홍성군 홍북읍 청사로 15041-634-3036041-633-30372023-05-12
2경성아파트충청남도 홍성군 홍성읍 문화로 80번길 32-14041-634-8048041-631-91592023-05-12
3극동스타클래스충청남도 홍성군 홍북읍 신대로 33041-634-7263041-634-72652023-05-12
4남장주공그린빌충청남도 홍성군 홍성읍 문화로72번길 92041-631-6162041-631-61642023-05-12
5내포롯데캐슬아파트충청남도 홍성군 홍북읍 신대로 34041-634-9801041-634-98022023-05-12
6대우아파트충청남도 홍성군 홍성읍 문화로72번길 41041-634-8615041-631-91602023-05-12
7동진아파트충청남도 홍성군 홍북읍 도청대로 211041-634-9497041-634-94982023-05-12
8모아엘가충청남도 홍성군 홍북읍 홍학로 88041-631-8936041-631-89372023-05-12
9부영1차아파트충청남도 홍성군 홍성읍 월산로30번길 39041-631-5652041-631-56532023-05-12
아파트명도로명주소전화번호팩스번호데이터 기준일
20청솔아파트충청남도 홍성군 홍성읍 내포로146번길 46041-634-4844041-634-48442023-05-12
21코오롱하늘채아파트충청남도 홍성군 홍성읍 문화로33번길 11041-631-4450041-631-44522023-05-12
22현광아파트충청남도 홍성군 홍성읍 도청대로96번길 85-17041-634-6034041-634-60372023-05-12
23현대아파트충청남도 홍성군 홍성읍 월계천길 41-11041-633-5324041-633-53202023-05-12
24홍성광천아파트충청남도 홍성군 광천읍 광천로428번길 46-14041-641-6009041-641-66092023-05-12
25효성 해링턴플레이스충청남도 홍성군 홍북읍 신대로 54041-635-1126041-635-11272023-05-12
26꿈비채홍성내포 RL8BL충청남도 홍성군 홍북읍 신경리 953041-631-2983<NA>2023-05-12
27꿈비채홍성내포 RL9BL충청남도 홍성군 홍북읍 신경리 952041-631-2983<NA>2023-05-12
28한울마을LH2단지1BL충청남도 홍성군 홍북읍 홍학로 124041-631-2208041-631-22092023-05-12
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