Overview

Dataset statistics

Number of variables8
Number of observations21
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory75.3 B

Variable types

Categorical5
Text1
Numeric2

Dataset

Description인천광역시 부평구 동별 빈집 현황으로 동명, 주택 등의 정보를 제공합니다예) 인천광역시 부평구,갈산1동,2,0,5,1,0,2021-04-17
Author인천광역시 부평구
URLhttps://www.data.go.kr/data/15043444/fileData.do

Alerts

시군구명 has constant value ""Constant
아파트 has constant value ""Constant
데이터기준일자 has constant value ""Constant
연립주택 is highly imbalanced (59.1%)Imbalance
구분 has unique valuesUnique
단독주택 has 4 (19.0%) zerosZeros
다세대주택 has 5 (23.8%) zerosZeros

Reproduction

Analysis started2024-04-21 01:09:54.708469
Analysis finished2024-04-21 01:09:56.781206
Duration2.07 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
인천광역시 부평구
21 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row인천광역시 부평구
2nd row인천광역시 부평구
3rd row인천광역시 부평구
4th row인천광역시 부평구
5th row인천광역시 부평구

Common Values

ValueCountFrequency (%)
인천광역시 부평구 21
100.0%

Length

2024-04-21T10:09:56.836280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:09:56.926144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인천광역시 21
50.0%
부평구 21
50.0%

구분
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-04-21T10:09:57.078197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.952381
Min length3

Characters and Unicode

Total characters83
Distinct characters20
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row부평1동
2nd row부평2동
3rd row부평3동
4th row부평4동
5th row부평5동
ValueCountFrequency (%)
부평1동 1
 
4.8%
청천2동 1
 
4.8%
십정1동 1
 
4.8%
일신동 1
 
4.8%
부개3동 1
 
4.8%
부개2동 1
 
4.8%
부개1동 1
 
4.8%
삼산1동 1
 
4.8%
갈산2동 1
 
4.8%
갈산1동 1
 
4.8%
Other values (11) 11
52.4%
2024-04-21T10:09:57.348743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 21
25.3%
부 9
10.8%
산 7
 
8.4%
1 7
 
8.4%
2 6
 
7.2%
평 6
 
7.2%
곡 4
 
4.8%
3 3
 
3.6%
개 3
 
3.6%
4 2
 
2.4%
Other values (10) 15
18.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 63
75.9%
Decimal Number 20
 
24.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 21
33.3%
부 9
14.3%
산 7
 
11.1%
평 6
 
9.5%
곡 4
 
6.3%
개 3
 
4.8%
청 2
 
3.2%
천 2
 
3.2%
갈 2
 
3.2%
십 2
 
3.2%
Other values (4) 5
 
7.9%
Decimal Number
ValueCountFrequency (%)
1 7
35.0%
2 6
30.0%
3 3
15.0%
4 2
 
10.0%
5 1
 
5.0%
6 1
 
5.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 63
75.9%
Common 20
 
24.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 21
33.3%
부 9
14.3%
산 7
 
11.1%
평 6
 
9.5%
곡 4
 
6.3%
개 3
 
4.8%
청 2
 
3.2%
천 2
 
3.2%
갈 2
 
3.2%
십 2
 
3.2%
Other values (4) 5
 
7.9%
Common
ValueCountFrequency (%)
1 7
35.0%
2 6
30.0%
3 3
15.0%
4 2
 
10.0%
5 1
 
5.0%
6 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 63
75.9%
ASCII 20
 
24.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 21
33.3%
부 9
14.3%
산 7
 
11.1%
평 6
 
9.5%
곡 4
 
6.3%
개 3
 
4.8%
청 2
 
3.2%
천 2
 
3.2%
갈 2
 
3.2%
십 2
 
3.2%
Other values (4) 5
 
7.9%
ASCII
ValueCountFrequency (%)
1 7
35.0%
2 6
30.0%
3 3
15.0%
4 2
 
10.0%
5 1
 
5.0%
6 1
 
5.0%

단독주택
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)42.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.2380952
Minimum0
Maximum22
Zeros4
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-21T10:09:57.445979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q35
95-th percentile13
Maximum22
Range22
Interquartile range (IQR)4

Descriptive statistics

Standard deviation5.3656757
Coefficient of variation (CV)1.2660583
Kurtosis5.4046695
Mean4.2380952
Median Absolute Deviation (MAD)2
Skewness2.1877062
Sum89
Variance28.790476
MonotonicityNot monotonic
2024-04-21T10:09:57.539418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 5
23.8%
3 4
19.0%
0 4
19.0%
5 2
 
9.5%
6 2
 
9.5%
11 1
 
4.8%
22 1
 
4.8%
13 1
 
4.8%
4 1
 
4.8%
ValueCountFrequency (%)
0 4
19.0%
1 5
23.8%
3 4
19.0%
4 1
 
4.8%
5 2
 
9.5%
6 2
 
9.5%
11 1
 
4.8%
13 1
 
4.8%
22 1
 
4.8%
ValueCountFrequency (%)
22 1
 
4.8%
13 1
 
4.8%
11 1
 
4.8%
6 2
 
9.5%
5 2
 
9.5%
4 1
 
4.8%
3 4
19.0%
1 5
23.8%
0 4
19.0%

다가구주택
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
17 
1
4 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 17
81.0%
1 4
 
19.0%

Length

2024-04-21T10:09:57.658582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:09:57.742377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 17
81.0%
1 4
 
19.0%

다세대주택
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)42.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.7142857
Minimum0
Maximum10
Zeros5
Zeros (%)23.8%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-21T10:09:57.818610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile7
Maximum10
Range10
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.8485585
Coefficient of variation (CV)1.0494689
Kurtosis0.55058063
Mean2.7142857
Median Absolute Deviation (MAD)2
Skewness1.1227441
Sum57
Variance8.1142857
MonotonicityNot monotonic
2024-04-21T10:09:57.922989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 5
23.8%
0 5
23.8%
2 3
14.3%
4 2
 
9.5%
7 2
 
9.5%
6 1
 
4.8%
3 1
 
4.8%
5 1
 
4.8%
10 1
 
4.8%
ValueCountFrequency (%)
0 5
23.8%
1 5
23.8%
2 3
14.3%
3 1
 
4.8%
4 2
 
9.5%
5 1
 
4.8%
6 1
 
4.8%
7 2
 
9.5%
10 1
 
4.8%
ValueCountFrequency (%)
10 1
 
4.8%
7 2
 
9.5%
6 1
 
4.8%
5 1
 
4.8%
4 2
 
9.5%
3 1
 
4.8%
2 3
14.3%
1 5
23.8%
0 5
23.8%

연립주택
Categorical

IMBALANCE 

Distinct4
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
18 
4
 
1
1
 
1
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique3 ?
Unique (%)14.3%

Sample

1st row0
2nd row0
3rd row0
4th row4
5th row0

Common Values

ValueCountFrequency (%)
0 18
85.7%
4 1
 
4.8%
1 1
 
4.8%
2 1
 
4.8%

Length

2024-04-21T10:09:58.022349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:09:58.114794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 18
85.7%
4 1
 
4.8%
1 1
 
4.8%
2 1
 
4.8%

아파트
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
21 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 21
100.0%

Length

2024-04-21T10:09:58.206060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:09:58.286296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 21
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-04-12
21 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-04-12
2nd row2024-04-12
3rd row2024-04-12
4th row2024-04-12
5th row2024-04-12

Common Values

ValueCountFrequency (%)
2024-04-12 21
100.0%

Length

2024-04-21T10:09:58.368471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:09:58.446829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-04-12 21
100.0%

Interactions

2024-04-21T10:09:56.447111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:09:56.263076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:09:56.512035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:09:56.378291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T10:09:58.502831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분단독주택다가구주택다세대주택연립주택
구분1.0001.0001.0001.0001.000
단독주택1.0001.0000.4910.6410.000
다가구주택1.0000.4911.0000.0000.000
다세대주택1.0000.6410.0001.0000.471
연립주택1.0000.0000.0000.4711.000
2024-04-21T10:09:58.588299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연립주택다가구주택
연립주택1.0000.000
다가구주택0.0001.000
2024-04-21T10:09:58.669301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단독주택다세대주택다가구주택연립주택
단독주택1.0000.2150.4900.000
다세대주택0.2151.0000.0000.155
다가구주택0.4900.0001.0000.000
연립주택0.0000.1550.0001.000

Missing values

2024-04-21T10:09:56.617050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T10:09:56.735502image/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

시군구명구분단독주택다가구주택다세대주택연립주택아파트데이터기준일자
0인천광역시 부평구부평1동1111002024-04-12
1인천광역시 부평구부평2동2206002024-04-12
2인천광역시 부평구부평3동1310002024-04-12
3인천광역시 부평구부평4동400402024-04-12
4인천광역시 부평구부평5동312002024-04-12
5인천광역시 부평구부평6동111002024-04-12
6인천광역시 부평구산곡1동504002024-04-12
7인천광역시 부평구산곡2동303002024-04-12
8인천광역시 부평구산곡3동607002024-04-12
9인천광역시 부평구산곡4동001002024-04-12
시군구명구분단독주택다가구주택다세대주택연립주택아파트데이터기준일자
11인천광역시 부평구청천2동101002024-04-12
12인천광역시 부평구갈산1동505102024-04-12
13인천광역시 부평구갈산2동000002024-04-12
14인천광역시 부평구삼산1동107002024-04-12
15인천광역시 부평구부개1동602002024-04-12
16인천광역시 부평구부개2동102002024-04-12
17인천광역시 부평구부개3동001002024-04-12
18인천광역시 부평구일신동300202024-04-12
19인천광역시 부평구십정1동004002024-04-12
20인천광역시 부평구십정2동3010002024-04-12