Overview

Dataset statistics

Number of variables9
Number of observations1003
Missing cells0
Missing cells (%)0.0%
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 매매수급동향 정보를 제공합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/bigdata/collect/view.chungnam?menuCd=DOM_000000201001001000&apiIdx=2542

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
번호 has unique valuesUnique

Reproduction

Analysis started2024-01-09 21:30:12.935618
Analysis finished2024-01-09 21:30:13.981581
Duration1.05 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
2024-01-10T06:30:14.039379image/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
2024-01-10T06:30:14.178298image/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

2024-01-10T06:30:14.306884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:30:14.394176image/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

2024-01-10T06:30:14.485808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:30:14.562306image/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
2024-01-10T06:30:14.643046image/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
2024-01-10T06:30:14.763577image/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

2024-01-10T06:30:14.867069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:30:15.169311image/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

2024-01-10T06:30:15.248638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:30:15.320255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
w 523
52.1%
m 480
47.9%

매매수급동향
Real number (ℝ)

Distinct631
Distinct (%)62.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97.701231
Minimum80.272109
Maximum133.43621
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2024-01-10T06:30:15.405135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum80.272109
5-th percentile87.024314
Q191.901408
median97.826087
Q3101.67856
95-th percentile111.90557
Maximum133.43621
Range53.164105
Interquartile range (IQR)9.777154

Descriptive statistics

Standard deviation7.6110483
Coefficient of variation (CV)0.077901254
Kurtosis1.2596652
Mean97.701231
Median Absolute Deviation (MAD)4.9689441
Skewness0.72605101
Sum97994.334
Variance57.928057
MonotonicityNot monotonic
2024-01-10T06:30:15.513792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.0 23
 
2.3%
99.50980392 19
 
1.9%
101.9607843 11
 
1.1%
101.4705882 10
 
1.0%
98.52941176 10
 
1.0%
97.54901961 9
 
0.9%
91.90140845 8
 
0.8%
102.9411765 8
 
0.8%
100.9803922 8
 
0.8%
91.54929577 8
 
0.8%
Other values (621) 889
88.6%
ValueCountFrequency (%)
80.27210884353741 1
0.1%
80.57142857142857 1
0.1%
80.61224489795919 1
0.1%
81.97278911564626 1
0.1%
82.0610687022901 1
0.1%
82.65306122448979 1
0.1%
82.99319727891157 1
0.1%
83.14285714285714 1
0.1%
83.33333333333333 1
0.1%
83.33333333333334 1
0.1%
ValueCountFrequency (%)
133.4362139917695 1
0.1%
133.33333333333334 1
0.1%
131.5500685871056 1
0.1%
125.951016154247 1
0.1%
125.039082855654 1
0.1%
123.1891610213653 1
0.1%
119.81865284974091 1
0.1%
119.68911917098444 1
0.1%
119.30051813471503 1
0.1%
118.91191709844558 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

2024-01-10T06:30:15.612894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:30:15.680217image/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

2024-01-10T06:30:15.750388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:30:15.820323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
178 1003
100.0%

Interactions

2024-01-10T06:30:13.597141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:30:13.156330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:30:13.367558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:30:13.662893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:30:13.222204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:30:13.440925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:30:13.740867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:30:13.300542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:30:13.520974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T06:30:15.864547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호조사일자주택유형구분월간구분매매수급동향
번호1.0000.0000.1420.0000.146
조사일자0.0001.0000.9411.0000.265
주택유형구분0.1420.9411.0000.9410.391
월간구분0.0001.0000.9411.0000.260
매매수급동향0.1460.2650.3910.2601.000
2024-01-10T06:30:15.942510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
월간구분주택유형구분
월간구분1.0000.780
주택유형구분0.7801.000
2024-01-10T06:30:16.010507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호조사일자매매수급동향주택유형구분월간구분
번호1.000-0.038-0.0150.0850.000
조사일자-0.0381.000-0.0940.7800.998
매매수급동향-0.015-0.0941.0000.2430.199
주택유형구분0.0850.7800.2431.0000.780
월간구분0.0000.9980.1990.7801.000

Missing values

2024-01-10T06:30:13.833321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T06:30:13.939678image/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

번호지역코드지역명조사일자주택유형구분월간구분매매수급동향지역구분 레벨정렬순서
0144000충남202201101W100.0375660178
1244000충남2021120M101.3288170178
2344000충남202111291W105.1089410178
3444000충남2014110M103.8302280178
4544000충남201301141W98.0392160178
5644000충남201207231W92.4107140178
6744000충남2014073M99.3506490178
7844000충남201208131W94.6428570178
8944000충남202011021W111.1111110178
91044000충남202011091W110.4575160178
번호지역코드지역명조사일자주택유형구분월간구분매매수급동향지역구분 레벨정렬순서
99399444000충남2016110M93.728070178
99499544000충남201603141W92.6056340178
99599644000충남2017023M93.750178
99699744000충남2017020M93.6459250178
99799844000충남201703061W91.8965520178
99899944000충남2015083M100.7936510178
999100044000충남2016080M91.3364060178
1000100144000충남201601041W92.2535210178
1001100244000충남2015127M100.975610178
1002100344000충남201709181W89.6551720178