Overview

Dataset statistics

Number of variables4
Number of observations125
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.4 KiB
Average record size in memory36.1 B

Variable types

Categorical2
Numeric2

Dataset

Description경기도_신규 민간아파트 분양 가격 현황
Author주택도시보증공사
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=HRS9521PX6GZDS3OI09A21207024&infSeq=1

Alerts

분양가격(천원/㎡) is highly overall correlated with 집계년도 and 1 other fieldsHigh correlation
집계년도 is highly overall correlated with 분양가격(천원/㎡)High correlation
규모구분명 is highly overall correlated with 분양가격(천원/㎡)High correlation

Reproduction

Analysis started2023-12-10 21:28:17.915307
Analysis finished2023-12-10 21:28:18.527095
Duration0.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

집계년도
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2016
60 
2017
50 
2015
15 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2017
2nd row2017
3rd row2017
4th row2017
5th row2017

Common Values

ValueCountFrequency (%)
2016 60
48.0%
2017 50
40.0%
2015 15
 
12.0%

Length

2023-12-11T06:28:18.605650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:28:18.722048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2016 60
48.0%
2017 50
40.0%
2015 15
 
12.0%

집계월
Real number (ℝ)

Distinct12
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.64
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T06:28:18.815274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median7
Q310
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.4650327
Coefficient of variation (CV)0.52184227
Kurtosis-1.2424086
Mean6.64
Median Absolute Deviation (MAD)3
Skewness-0.081018071
Sum830
Variance12.006452
MonotonicityNot monotonic
2023-12-11T06:28:18.914773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
10 15
12.0%
9 10
8.0%
8 10
8.0%
7 10
8.0%
6 10
8.0%
5 10
8.0%
4 10
8.0%
3 10
8.0%
2 10
8.0%
1 10
8.0%
Other values (2) 20
16.0%
ValueCountFrequency (%)
1 10
8.0%
2 10
8.0%
3 10
8.0%
4 10
8.0%
5 10
8.0%
6 10
8.0%
7 10
8.0%
8 10
8.0%
9 10
8.0%
10 15
12.0%
ValueCountFrequency (%)
12 10
8.0%
11 10
8.0%
10 15
12.0%
9 10
8.0%
8 10
8.0%
7 10
8.0%
6 10
8.0%
5 10
8.0%
4 10
8.0%
3 10
8.0%

규모구분명
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
전체
25 
전용면적 60㎡이하
25 
전용면적 60㎡초과 85㎡이하
25 
전용면적 85㎡초과 102㎡이하
25 
전용면적 102㎡초과
25 

Length

Max length17
Median length11
Mean length11.2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전체
2nd row전용면적 60㎡이하
3rd row전용면적 60㎡초과 85㎡이하
4th row전용면적 85㎡초과 102㎡이하
5th row전용면적 102㎡초과

Common Values

ValueCountFrequency (%)
전체 25
20.0%
전용면적 60㎡이하 25
20.0%
전용면적 60㎡초과 85㎡이하 25
20.0%
전용면적 85㎡초과 102㎡이하 25
20.0%
전용면적 102㎡초과 25
20.0%

Length

2023-12-11T06:28:19.048459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:28:19.168162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전용면적 100
36.4%
전체 25
 
9.1%
60㎡이하 25
 
9.1%
60㎡초과 25
 
9.1%
85㎡이하 25
 
9.1%
85㎡초과 25
 
9.1%
102㎡이하 25
 
9.1%
102㎡초과 25
 
9.1%

분양가격(천원/㎡)
Real number (ℝ)

HIGH CORRELATION 

Distinct111
Distinct (%)88.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3591.912
Minimum3079
Maximum4321
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T06:28:19.281646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3079
5-th percentile3199.6
Q13389
median3555
Q33707
95-th percentile4200
Maximum4321
Range1242
Interquartile range (IQR)318

Descriptive statistics

Standard deviation284.9603
Coefficient of variation (CV)0.079333875
Kurtosis0.052163383
Mean3591.912
Median Absolute Deviation (MAD)165
Skewness0.68961371
Sum448989
Variance81202.371
MonotonicityNot monotonic
2023-12-11T06:28:19.411318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3508 3
 
2.4%
3360 3
 
2.4%
3680 2
 
1.6%
3531 2
 
1.6%
3552 2
 
1.6%
3443 2
 
1.6%
4229 2
 
1.6%
3850 2
 
1.6%
3198 2
 
1.6%
3293 2
 
1.6%
Other values (101) 103
82.4%
ValueCountFrequency (%)
3079 1
0.8%
3098 1
0.8%
3126 1
0.8%
3138 1
0.8%
3198 2
1.6%
3199 1
0.8%
3202 1
0.8%
3215 1
0.8%
3219 1
0.8%
3239 1
0.8%
ValueCountFrequency (%)
4321 1
0.8%
4296 1
0.8%
4273 1
0.8%
4230 1
0.8%
4229 2
1.6%
4219 1
0.8%
4124 1
0.8%
4079 1
0.8%
4073 1
0.8%
4065 1
0.8%

Interactions

2023-12-11T06:28:18.174510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:28:18.026822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:28:18.255872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:28:18.097026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T06:28:19.500329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
집계년도집계월규모구분명분양가격(천원/㎡)
집계년도1.0000.5370.0000.650
집계월0.5371.0000.0000.000
규모구분명0.0000.0001.0000.857
분양가격(천원/㎡)0.6500.0000.8571.000
2023-12-11T06:28:19.596881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
규모구분명집계년도
규모구분명1.0000.000
집계년도0.0001.000
2023-12-11T06:28:19.919730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
집계월분양가격(천원/㎡)집계년도규모구분명
집계월1.000-0.0080.3700.000
분양가격(천원/㎡)-0.0081.0000.5040.508
집계년도0.3700.5041.0000.000
규모구분명0.0000.5080.0001.000

Missing values

2023-12-11T06:28:18.382534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:28:18.486642image/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

집계년도집계월규모구분명분양가격(천원/㎡)
0201710전체3625
1201710전용면적 60㎡이하3829
2201710전용면적 60㎡초과 85㎡이하3574
3201710전용면적 85㎡초과 102㎡이하3769
4201710전용면적 102㎡초과4009
520179전용면적 60㎡이하3902
620179전체3628
720179전용면적 60㎡초과 85㎡이하3601
820179전용면적 85㎡초과 102㎡이하3696
920179전용면적 102㎡초과4045
집계년도집계월규모구분명분양가격(천원/㎡)
115201511전용면적 85㎡초과 102㎡이하3391
116201511전용면적 102㎡초과3724
117201511전용면적 60㎡초과 85㎡이하3202
118201511전용면적 60㎡이하3079
119201511전체3098
120201510전체3138
121201510전용면적 60㎡이하3126
122201510전용면적 60㎡초과 85㎡이하3239
123201510전용면적 85㎡초과 102㎡이하3496
124201510전용면적 102㎡초과3680