Overview

Dataset statistics

Number of variables7
Number of observations34
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory62.9 B

Variable types

Numeric2
Text1
DateTime1
Categorical3

Dataset

Description대구광역시 달성군 내에 있는 공동주택(빌라) 현황에 대한 자료로 상세 주소, 세대수, 동 수, 준공시기 등이 포함하고 있습니다.
Author대구광역시 달성군
URLhttps://www.data.go.kr/data/15099085/fileData.do

Alerts

주관부서 has constant value ""Constant
데이터기준일자 has constant value ""Constant
세대수 is highly overall correlated with 동수High correlation
동수 is highly overall correlated with 세대수High correlation
연번 has unique valuesUnique
행정동 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:59:07.515945
Analysis finished2023-12-12 07:59:08.737560
Duration1.22 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.5
Minimum1
Maximum34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T16:59:08.824817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.65
Q19.25
median17.5
Q325.75
95-th percentile32.35
Maximum34
Range33
Interquartile range (IQR)16.5

Descriptive statistics

Standard deviation9.9582462
Coefficient of variation (CV)0.56904264
Kurtosis-1.2
Mean17.5
Median Absolute Deviation (MAD)8.5
Skewness0
Sum595
Variance99.166667
MonotonicityStrictly increasing
2023-12-12T16:59:08.995711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
1 1
 
2.9%
27 1
 
2.9%
21 1
 
2.9%
22 1
 
2.9%
23 1
 
2.9%
24 1
 
2.9%
25 1
 
2.9%
26 1
 
2.9%
28 1
 
2.9%
19 1
 
2.9%
Other values (24) 24
70.6%
ValueCountFrequency (%)
1 1
2.9%
2 1
2.9%
3 1
2.9%
4 1
2.9%
5 1
2.9%
6 1
2.9%
7 1
2.9%
8 1
2.9%
9 1
2.9%
10 1
2.9%
ValueCountFrequency (%)
34 1
2.9%
33 1
2.9%
32 1
2.9%
31 1
2.9%
30 1
2.9%
29 1
2.9%
28 1
2.9%
27 1
2.9%
26 1
2.9%
25 1
2.9%

행정동
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-12T16:59:09.240465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length27
Mean length23.323529
Min length20

Characters and Unicode

Total characters793
Distinct characters62
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

Unique34 ?
Unique (%)100.0%

Sample

1st row대구광역시 달성군 가창면 삼산리 911-6
2nd row대구광역시 달성군 현풍읍 중리 285-1 외1필지
3rd row대구광역시 달성군 가창면 삼산리 331-3
4th row대구광역시 달성군 하빈면 동곡리 180-3
5th row대구광역시 달성군 다사읍 세천리 1172-3
ValueCountFrequency (%)
대구광역시 34
19.3%
달성군 34
19.3%
가창면 12
 
6.8%
논공읍 9
 
5.1%
현풍읍 6
 
3.4%
외1필지 5
 
2.8%
남리 5
 
2.8%
다사읍 4
 
2.3%
북리 4
 
2.3%
용계리 3
 
1.7%
Other values (51) 60
34.1%
2023-12-12T16:59:09.677227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
142
17.9%
대 37
 
4.7%
광 34
 
4.3%
역 34
 
4.3%
시 34
 
4.3%
달 34
 
4.3%
성 34
 
4.3%
군 34
 
4.3%
구 34
 
4.3%
리 34
 
4.3%
Other values (52) 342
43.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 481
60.7%
Space Separator 142
 
17.9%
Decimal Number 141
 
17.8%
Dash Punctuation 29
 
3.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 37
 
7.7%
광 34
 
7.1%
역 34
 
7.1%
시 34
 
7.1%
달 34
 
7.1%
성 34
 
7.1%
군 34
 
7.1%
구 34
 
7.1%
리 34
 
7.1%
읍 20
 
4.2%
Other values (40) 152
31.6%
Decimal Number
ValueCountFrequency (%)
1 28
19.9%
3 26
18.4%
2 13
9.2%
4 12
8.5%
9 12
8.5%
8 11
 
7.8%
5 11
 
7.8%
6 10
 
7.1%
0 9
 
6.4%
7 9
 
6.4%
Space Separator
ValueCountFrequency (%)
142
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 481
60.7%
Common 312
39.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 37
 
7.7%
광 34
 
7.1%
역 34
 
7.1%
시 34
 
7.1%
달 34
 
7.1%
성 34
 
7.1%
군 34
 
7.1%
구 34
 
7.1%
리 34
 
7.1%
읍 20
 
4.2%
Other values (40) 152
31.6%
Common
ValueCountFrequency (%)
142
45.5%
- 29
 
9.3%
1 28
 
9.0%
3 26
 
8.3%
2 13
 
4.2%
4 12
 
3.8%
9 12
 
3.8%
8 11
 
3.5%
5 11
 
3.5%
6 10
 
3.2%
Other values (2) 18
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 481
60.7%
ASCII 312
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
142
45.5%
- 29
 
9.3%
1 28
 
9.0%
3 26
 
8.3%
2 13
 
4.2%
4 12
 
3.8%
9 12
 
3.8%
8 11
 
3.5%
5 11
 
3.5%
6 10
 
3.2%
Other values (2) 18
 
5.8%
Hangul
ValueCountFrequency (%)
대 37
 
7.7%
광 34
 
7.1%
역 34
 
7.1%
시 34
 
7.1%
달 34
 
7.1%
성 34
 
7.1%
군 34
 
7.1%
구 34
 
7.1%
리 34
 
7.1%
읍 20
 
4.2%
Other values (40) 152
31.6%

준공년도
Date

Distinct31
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Memory size404.0 B
Minimum2009-09-24 00:00:00
Maximum2021-09-30 00:00:00
2023-12-12T16:59:09.813262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:59:09.952043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)

동수
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Memory size404.0 B
1
27 
0
4 
2
 
2
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.9%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row0

Common Values

ValueCountFrequency (%)
1 27
79.4%
0 4
 
11.8%
2 2
 
5.9%
3 1
 
2.9%

Length

2023-12-12T16:59:10.103223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:59:10.237627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 27
79.4%
0 4
 
11.8%
2 2
 
5.9%
3 1
 
2.9%

세대수
Real number (ℝ)

HIGH CORRELATION 

Distinct12
Distinct (%)35.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.8823529
Minimum5
Maximum20
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T16:59:10.343135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile6.65
Q18
median8
Q312
95-th percentile16.7
Maximum20
Range15
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.7316395
Coefficient of variation (CV)0.37760638
Kurtosis0.5770228
Mean9.8823529
Median Absolute Deviation (MAD)0
Skewness1.2691041
Sum336
Variance13.925134
MonotonicityNot monotonic
2023-12-12T16:59:10.488204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
8 18
52.9%
7 3
 
8.8%
15 2
 
5.9%
16 2
 
5.9%
12 2
 
5.9%
6 1
 
2.9%
13 1
 
2.9%
18 1
 
2.9%
14 1
 
2.9%
5 1
 
2.9%
Other values (2) 2
 
5.9%
ValueCountFrequency (%)
5 1
 
2.9%
6 1
 
2.9%
7 3
 
8.8%
8 18
52.9%
9 1
 
2.9%
12 2
 
5.9%
13 1
 
2.9%
14 1
 
2.9%
15 2
 
5.9%
16 2
 
5.9%
ValueCountFrequency (%)
20 1
 
2.9%
18 1
 
2.9%
16 2
 
5.9%
15 2
 
5.9%
14 1
 
2.9%
13 1
 
2.9%
12 2
 
5.9%
9 1
 
2.9%
8 18
52.9%
7 3
 
8.8%

주관부서
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
종합민원과
34 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
종합민원과 34
100.0%

Length

2023-12-12T16:59:10.628025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:59:10.756078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
종합민원과 34
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
2022-02-21
34 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-02-21
2nd row2022-02-21
3rd row2022-02-21
4th row2022-02-21
5th row2022-02-21

Common Values

ValueCountFrequency (%)
2022-02-21 34
100.0%

Length

2023-12-12T16:59:10.944180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:59:11.067608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-02-21 34
100.0%

Interactions

2023-12-12T16:59:08.273682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:59:07.738411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:59:08.379434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:59:08.179951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:59:11.142077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번행정동준공년도동수세대수
연번1.0001.0001.0000.4200.479
행정동1.0001.0001.0001.0001.000
준공년도1.0001.0001.0000.9291.000
동수0.4201.0000.9291.0000.902
세대수0.4791.0001.0000.9021.000
2023-12-12T16:59:11.269785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번세대수동수
연번1.000-0.0550.218
세대수-0.0551.0000.714
동수0.2180.7141.000

Missing values

2023-12-12T16:59:08.543706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:59:08.687273image/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

연번행정동준공년도동수세대수주관부서데이터기준일자
01대구광역시 달성군 가창면 삼산리 911-62021-07-2117종합민원과2022-02-21
12대구광역시 달성군 현풍읍 중리 285-1 외1필지2021-09-3018종합민원과2022-02-21
23대구광역시 달성군 가창면 삼산리 331-32018-12-0316종합민원과2022-02-21
34대구광역시 달성군 하빈면 동곡리 180-32017-10-1818종합민원과2022-02-21
45대구광역시 달성군 다사읍 세천리 1172-32017-01-25013종합민원과2022-02-21
56대구광역시 달성군 가창면 우록리 10 외3필지2017-01-16318종합민원과2022-02-21
67대구광역시 달성군 가창면 대일리 652016-05-0218종합민원과2022-02-21
78대구광역시 달성군 가창면 행정리 4532016-02-1618종합민원과2022-02-21
89대구광역시 달성군 다사읍 죽곡리 25-92016-08-04115종합민원과2022-02-21
910대구광역시 달성군 가창면 단산리 762-1 외1필지2015-07-13216종합민원과2022-02-21
연번행정동준공년도동수세대수주관부서데이터기준일자
2425대구광역시 달성군 가창면 용계리 83-4 외1필지2012-04-05120종합민원과2022-02-21
2526대구광역시 달성군 논공읍 남리 676-72011-10-1318종합민원과2022-02-21
2627대구광역시 달성군 논공읍 남리 571-32011-10-0618종합민원과2022-02-21
2728대구광역시 달성군 논공읍 북리 803-802010-11-2208종합민원과2022-02-21
2829대구광역시 달성군 현풍읍 원교리 330-72010-03-1618종합민원과2022-02-21
2930대구광역시 달성군 현풍읍 부리 350-9 외1필지2010-04-2618종합민원과2022-02-21
3031대구광역시 달성군 현풍읍 부리 342-62011-01-0317종합민원과2022-02-21
3132대구광역시 달성군 현풍읍 원교리 330-32010-03-0518종합민원과2022-02-21
3233대구광역시 달성군 현풍읍 부리 349-42010-03-0318종합민원과2022-02-21
3334대구광역시 달성군 논공읍 남리 11312009-09-2418종합민원과2022-02-21