Overview

Dataset statistics

Number of variables4
Number of observations320
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.8 KiB
Average record size in memory34.4 B

Variable types

Numeric2
Categorical2

Dataset

Description부동산 실명제 실시에 따른 충청남도 부동산 실거래법 위반 현황에 대한 데이터로 시군별, 부과, 징수 현황의 항목을 제공합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=379&beforeMenuCd=DOM_000000201001001000&publicdatapk=15063046

Alerts

부과건수 has 9 (2.8%) zerosZeros

Reproduction

Analysis started2024-01-09 23:21:06.455591
Analysis finished2024-01-09 23:21:07.036802
Duration0.58 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

집계년도
Real number (ℝ)

Distinct24
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2011.6063
Minimum1995
Maximum2020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-01-10T08:21:07.086942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1995
5-th percentile2003
Q12008
median2012
Q32016
95-th percentile2020
Maximum2020
Range25
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.4145941
Coefficient of variation (CV)0.0026916769
Kurtosis-0.18470552
Mean2011.6063
Median Absolute Deviation (MAD)4
Skewness-0.39995634
Sum643714
Variance29.317829
MonotonicityNot monotonic
2024-01-10T08:21:07.186381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
2020 30
 
9.4%
2012 24
 
7.5%
2010 23
 
7.2%
2013 22
 
6.9%
2015 21
 
6.6%
2008 21
 
6.6%
2016 21
 
6.6%
2009 20
 
6.2%
2014 20
 
6.2%
2011 19
 
5.9%
Other values (14) 99
30.9%
ValueCountFrequency (%)
1995 1
 
0.3%
1997 1
 
0.3%
1998 3
 
0.9%
1999 5
1.6%
2000 4
 
1.2%
2001 1
 
0.3%
2003 7
2.2%
2004 10
3.1%
2005 10
3.1%
2006 10
3.1%
ValueCountFrequency (%)
2020 30
9.4%
2019 11
 
3.4%
2018 8
 
2.5%
2017 12
 
3.8%
2016 21
6.6%
2015 21
6.6%
2014 20
6.2%
2013 22
6.9%
2012 24
7.5%
2011 19
5.9%

시군명
Categorical

Distinct17
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
보령시
30 
아산시
28 
당진시
28 
태안군
27 
천안시 서북구
27 
Other values (12)
180 

Length

Max length7
Median length3
Mean length3.65
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row천안시 동남구
2nd row천안시 동남구
3rd row천안시 동남구
4th row천안시 동남구
5th row천안시 동남구

Common Values

ValueCountFrequency (%)
보령시 30
9.4%
아산시 28
8.8%
당진시 28
8.8%
태안군 27
 
8.4%
천안시 서북구 27
 
8.4%
천안시 동남구 25
 
7.8%
공주시 25
 
7.8%
논산시 24
 
7.5%
홍성군 19
 
5.9%
서산시 18
 
5.6%
Other values (7) 69
21.6%

Length

2024-01-10T08:21:07.298395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
천안시 54
14.5%
보령시 30
 
8.1%
아산시 28
 
7.5%
당진시 28
 
7.5%
태안군 27
 
7.3%
서북구 27
 
7.3%
동남구 25
 
6.7%
공주시 25
 
6.7%
논산시 24
 
6.5%
홍성군 19
 
5.1%
Other values (7) 85
22.8%

구분
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
부과
179 
징수
141 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부과 179
55.9%
징수 141
44.1%

Length

2024-01-10T08:21:07.402616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T08:21:07.479933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부과 179
55.9%
징수 141
44.1%

부과건수
Real number (ℝ)

ZEROS 

Distinct37
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.7
Minimum0
Maximum123
Zeros9
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-01-10T08:21:07.566273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median3
Q36
95-th percentile23.05
Maximum123
Range123
Interquartile range (IQR)5

Descriptive statistics

Standard deviation13.967405
Coefficient of variation (CV)2.0846873
Kurtosis34.787145
Mean6.7
Median Absolute Deviation (MAD)2
Skewness5.408156
Sum2144
Variance195.0884
MonotonicityNot monotonic
2024-01-10T08:21:07.672640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
1 86
26.9%
2 61
19.1%
3 39
12.2%
4 24
 
7.5%
5 14
 
4.4%
6 13
 
4.1%
8 13
 
4.1%
7 12
 
3.8%
0 9
 
2.8%
16 5
 
1.6%
Other values (27) 44
13.8%
ValueCountFrequency (%)
0 9
 
2.8%
1 86
26.9%
2 61
19.1%
3 39
12.2%
4 24
 
7.5%
5 14
 
4.4%
6 13
 
4.1%
7 12
 
3.8%
8 13
 
4.1%
9 1
 
0.3%
ValueCountFrequency (%)
123 1
0.3%
111 1
0.3%
102 1
0.3%
85 1
0.3%
63 1
0.3%
62 1
0.3%
52 1
0.3%
43 1
0.3%
38 2
0.6%
32 1
0.3%

Interactions

2024-01-10T08:21:06.778011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:21:06.608988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:21:06.851965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:21:06.698005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T08:21:07.746593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
집계년도시군명구분부과건수
집계년도1.0000.1060.1260.000
시군명0.1061.0000.0000.368
구분0.1260.0001.0000.000
부과건수0.0000.3680.0001.000
2024-01-10T08:21:07.825466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분시군명
구분1.0000.000
시군명0.0001.000
2024-01-10T08:21:07.897209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
집계년도부과건수시군명구분
집계년도1.0000.1200.0000.107
부과건수0.1201.0000.1530.000
시군명0.0000.1531.0000.000
구분0.1070.0000.0001.000

Missing values

2024-01-10T08:21:06.941060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T08:21:07.009227image/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

집계년도시군명구분부과건수
02004천안시 동남구부과4
12005천안시 동남구부과8
22006천안시 동남구부과2
32008천안시 동남구부과3
42009천안시 동남구부과4
52010천안시 동남구부과3
62011천안시 동남구부과2
72012천안시 동남구부과9
82013천안시 동남구부과7
92014천안시 동남구부과11
집계년도시군명구분부과건수
3102020논산시징수1
3112020계룡시징수0
3122020당진시징수8
3132020금산군징수0
3142020부여군징수2
3152020서천군징수5
3162020청양군징수0
3172020홍성군징수6
3182020예산군징수0
3192020태안군징수1