Overview

Dataset statistics

Number of variables9
Number of observations1003
Missing cells348
Missing cells (%)3.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory77.5 KiB
Average record size in memory79.1 B

Variable types

Numeric3
Categorical6

Dataset

Description한국부동산원(구.한국감정원)에서 제공하는 전국주택가격동향조사 통계를 조회할 수 있는 서비스로 월간동향으로 구성되어있습니다. 해당 서비스에서는 충남에 대한 해당기간, 지역, 주택유형의 매매거래동향 정보를 제공합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/bigdata/collect/view.chungnam?menuCd=DOM_000000201001001000&apiIdx=2543

Alerts

지역코드 has constant value ""Constant
지역명 has constant value ""Constant
지역구분 레벨 has constant value ""Constant
정렬순서 has constant value ""Constant
조사일자 is highly overall correlated with 주택유형구분 and 1 other fieldsHigh correlation
주택유형구분 is highly overall correlated with 조사일자 and 1 other fieldsHigh correlation
월간구분 is highly overall correlated with 조사일자 and 1 other fieldsHigh correlation
매매거래동향 has 348 (34.7%) missing valuesMissing
번호 has unique valuesUnique

Reproduction

Analysis started2024-01-09 22:08:33.370408
Analysis finished2024-01-09 22:08:34.612018
Duration1.24 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1003
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean502
Minimum1
Maximum1003
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2024-01-10T07:08:34.670955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile51.1
Q1251.5
median502
Q3752.5
95-th percentile952.9
Maximum1003
Range1002
Interquartile range (IQR)501

Descriptive statistics

Standard deviation289.68546
Coefficient of variation (CV)0.57706267
Kurtosis-1.2
Mean502
Median Absolute Deviation (MAD)251
Skewness0
Sum503506
Variance83917.667
MonotonicityStrictly increasing
2024-01-10T07:08:34.784763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
675 1
 
0.1%
662 1
 
0.1%
663 1
 
0.1%
664 1
 
0.1%
665 1
 
0.1%
666 1
 
0.1%
667 1
 
0.1%
668 1
 
0.1%
669 1
 
0.1%
Other values (993) 993
99.0%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1003 1
0.1%
1002 1
0.1%
1001 1
0.1%
1000 1
0.1%
999 1
0.1%
998 1
0.1%
997 1
0.1%
996 1
0.1%
995 1
0.1%
994 1
0.1%

지역코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
44000
1003 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row44000
2nd row44000
3rd row44000
4th row44000
5th row44000

Common Values

ValueCountFrequency (%)
44000 1003
100.0%

Length

2024-01-10T07:08:34.878679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:08:34.947247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
44000 1003
100.0%

지역명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
충남
1003 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
충남 1003
100.0%

Length

2024-01-10T07:08:35.016822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:08:35.091073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
충남 1003
100.0%

조사일자
Real number (ℝ)

HIGH CORRELATION 

Distinct643
Distinct (%)64.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10614296
Minimum201207
Maximum20220711
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2024-01-10T07:08:35.173907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201207
5-th percentile201307
Q1201709
median20121126
Q320170914
95-th percentile20210725
Maximum20220711
Range20019504
Interquartile range (IQR)19969206

Descriptive statistics

Standard deviation9980357.8
Coefficient of variation (CV)0.94027504
Kurtosis-1.996582
Mean10614296
Median Absolute Deviation (MAD)99088
Skewness-0.085936771
Sum1.0646139 × 1010
Variance9.9607542 × 1013
MonotonicityNot monotonic
2024-01-10T07:08:35.294339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
201409 4
 
0.4%
201711 4
 
0.4%
201709 4
 
0.4%
201910 4
 
0.4%
202104 4
 
0.4%
202109 4
 
0.4%
201804 4
 
0.4%
202206 4
 
0.4%
202006 4
 
0.4%
202105 4
 
0.4%
Other values (633) 963
96.0%
ValueCountFrequency (%)
201207 4
0.4%
201208 4
0.4%
201209 4
0.4%
201210 4
0.4%
201211 4
0.4%
201212 4
0.4%
201301 4
0.4%
201302 4
0.4%
201303 4
0.4%
201304 4
0.4%
ValueCountFrequency (%)
20220711 1
0.1%
20220704 1
0.1%
20220627 1
0.1%
20220620 1
0.1%
20220613 1
0.1%
20220606 1
0.1%
20220530 1
0.1%
20220523 1
0.1%
20220516 1
0.1%
20220509 1
0.1%

주택유형구분
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
1
643 
0
120 
3
120 
7
120 

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 (%)
1 643
64.1%
0 120
 
12.0%
3 120
 
12.0%
7 120
 
12.0%

Length

2024-01-10T07:08:35.408834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:08:35.487293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 643
64.1%
0 120
 
12.0%
3 120
 
12.0%
7 120
 
12.0%

월간구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
W
523 
M
480 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowW
2nd rowM
3rd rowW
4th rowM
5th rowW

Common Values

ValueCountFrequency (%)
W 523
52.1%
M 480
47.9%

Length

2024-01-10T07:08:35.567004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:08:35.637460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
w 523
52.1%
m 480
47.9%

매매거래동향
Real number (ℝ)

MISSING 

Distinct460
Distinct (%)70.2%
Missing348
Missing (%)34.7%
Infinite0
Infinite (%)0.0%
Mean59.531424
Minimum0
Maximum88.732394
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2024-01-10T07:08:35.720004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile38.159865
Q148.627312
median60.588235
Q369.71831
95-th percentile79.197154
Maximum88.732394
Range88.732394
Interquartile range (IQR)21.090998

Descriptive statistics

Standard deviation13.36759
Coefficient of variation (CV)0.22454678
Kurtosis-0.44347325
Mean59.531424
Median Absolute Deviation (MAD)10.446247
Skewness-0.30405274
Sum38993.083
Variance178.69246
MonotonicityNot monotonic
2024-01-10T07:08:35.821802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
69.71830986 10
 
1.0%
49.50980392 10
 
1.0%
39.3129770992366 8
 
0.8%
69.01408451 8
 
0.8%
47.54901961 8
 
0.8%
50.0 6
 
0.6%
44.11764706 6
 
0.6%
69.36619718 6
 
0.6%
51.96078431 5
 
0.5%
53.92156863 5
 
0.5%
Other values (450) 583
58.1%
(Missing) 348
34.7%
ValueCountFrequency (%)
0.0 1
 
0.1%
25.3246753246753 1
 
0.1%
26.623376623376625 1
 
0.1%
29.220779220779225 1
 
0.1%
31.84713375796178 2
0.2%
31.8627451 1
 
0.1%
32.467532467532465 3
0.3%
32.46753247 1
 
0.1%
33.439490445859875 1
 
0.1%
34.31372549 1
 
0.1%
ValueCountFrequency (%)
88.73239437 2
 
0.2%
85.0 1
 
0.1%
82.93103448 2
 
0.2%
82.5862069 1
 
0.1%
82.24137931 1
 
0.1%
81.89655172 2
 
0.2%
81.55172414 1
 
0.1%
81.51041666666667 1
 
0.1%
81.20689655 5
0.5%
80.97560975609755 1
 
0.1%

지역구분 레벨
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
0
1003 

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 1003
100.0%

Length

2024-01-10T07:08:35.921363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:08:35.987419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1003
100.0%

정렬순서
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
178
1003 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row178
2nd row178
3rd row178
4th row178
5th row178

Common Values

ValueCountFrequency (%)
178 1003
100.0%

Length

2024-01-10T07:08:36.055096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:08:36.122655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
178 1003
100.0%

Interactions

2024-01-10T07:08:34.027053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:08:33.587961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:08:33.802452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:08:34.092819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:08:33.660050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:08:33.875381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:08:34.167990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:08:33.737897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:08:33.958140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T07:08:36.164968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호조사일자주택유형구분월간구분매매거래동향
번호1.0000.0000.1420.0000.086
조사일자0.0001.0000.9411.0000.158
주택유형구분0.1420.9411.0000.9410.232
월간구분0.0001.0000.9411.0000.160
매매거래동향0.0860.1580.2320.1601.000
2024-01-10T07:08:36.259122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
월간구분주택유형구분
월간구분1.0000.780
주택유형구분0.7801.000
2024-01-10T07:08:36.349395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호조사일자매매거래동향주택유형구분월간구분
번호1.000-0.0380.0720.0850.000
조사일자-0.0381.0000.1940.7800.998
매매거래동향0.0720.1941.0000.1490.159
주택유형구분0.0850.7800.1491.0000.780
월간구분0.0000.9980.1590.7801.000

Missing values

2024-01-10T07:08:34.470275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T07:08:34.569834image/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

번호지역코드지역명조사일자주택유형구분월간구분매매거래동향지역구분 레벨정렬순서
0144000충남202201101W<NA>0178
1244000충남2021120M<NA>0178
2344000충남202111291W<NA>0178
3444000충남2014110M57.5569360178
4544000충남201301141W45.0980390178
5644000충남201207231W62.50178
6744000충남2014073M70.129870178
7844000충남201208131W49.5535710178
8944000충남202011021W<NA>0178
91044000충남202011091W<NA>0178
번호지역코드지역명조사일자주택유형구분월간구분매매거래동향지역구분 레벨정렬순서
99399444000충남2016110M76.4035090178
99499544000충남201603141W69.0140850178
99599644000충남2017023M69.3452380178
99699744000충남2017020M75.5915860178
99799844000충남201703061W77.4137930178
99899944000충남2015083M63.4920630178
999100044000충남2016080M62.6728110178
1000100144000충남201601041W67.6056340178
1001100244000충남2015127M58.5365850178
1002100344000충남201709181W71.0344830178