Overview

Dataset statistics

Number of variables11
Number of observations10000
Missing cells881
Missing cells (%)0.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1015.6 KiB
Average record size in memory104.0 B

Variable types

Numeric4
Categorical7

Dataset

Description한국부동산원(구.한국감정원)에서 제공하는 전국주택가격동향조사 통계를 조회할 수 있는 서비스로 월간동향으로 구성되어있습니다. 해당 서비스에서는 충남에 대한 해당 기간, 지역, 규모, 주택 유형의 규모별 주택가격지수 정보를 제공합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/bigdata/collect/view.chungnam?menuCd=DOM_000000201001001000&apiIdx=2537

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
사이즈구분 is highly overall correlated with 주택유형구분 and 1 other fieldsHigh correlation
주택유형구분 is highly overall correlated with 조사일자 and 2 other fieldsHigh correlation
월간구분 is highly overall correlated with 조사일자 and 2 other fieldsHigh correlation
지수 has 881 (8.8%) missing valuesMissing
번호 has unique valuesUnique

Reproduction

Analysis started2024-01-09 20:33:07.390889
Analysis finished2024-01-09 20:33:09.722171
Duration2.33 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5246.0031
Minimum1
Maximum10498
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T05:33:09.809340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile524.95
Q12624.75
median5241
Q37865.25
95-th percentile9977.05
Maximum10498
Range10497
Interquartile range (IQR)5240.5

Descriptive statistics

Standard deviation3030.8393
Coefficient of variation (CV)0.57774257
Kurtosis-1.1989069
Mean5246.0031
Median Absolute Deviation (MAD)2620.5
Skewness0.0041444801
Sum52460031
Variance9185986.9
MonotonicityNot monotonic
2024-01-10T05:33:09.964202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6284 1
 
< 0.1%
982 1
 
< 0.1%
1410 1
 
< 0.1%
847 1
 
< 0.1%
8185 1
 
< 0.1%
9208 1
 
< 0.1%
4021 1
 
< 0.1%
2549 1
 
< 0.1%
9145 1
 
< 0.1%
9402 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
11 1
< 0.1%
ValueCountFrequency (%)
10498 1
< 0.1%
10497 1
< 0.1%
10496 1
< 0.1%
10495 1
< 0.1%
10493 1
< 0.1%
10492 1
< 0.1%
10491 1
< 0.1%
10490 1
< 0.1%
10489 1
< 0.1%
10488 1
< 0.1%

지역코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
44000
10000 

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 10000
100.0%

Length

2024-01-10T05:33:10.103729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:33:10.187933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
44000 10000
100.0%

지역명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
충남
10000 

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 10000
100.0%

Length

2024-01-10T05:33:10.278072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:33:10.359309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
충남 10000
100.0%

조사일자
Real number (ℝ)

HIGH CORRELATION 

Distinct657
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12302538
Minimum201201
Maximum20220711
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T05:33:10.463680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201201
5-th percentile201308
Q1201812
median20140217
Q320180507
95-th percentile20210913
Maximum20220711
Range20019510
Interquartile range (IQR)19978695

Descriptive statistics

Standard deviation9757748.7
Coefficient of variation (CV)0.79314922
Kurtosis-1.8120613
Mean12302538
Median Absolute Deviation (MAD)60788
Skewness-0.43390971
Sum1.2302538 × 1011
Variance9.521366 × 1013
MonotonicityNot monotonic
2024-01-10T05:33:10.608194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202010 36
 
0.4%
201807 36
 
0.4%
201705 36
 
0.4%
201509 36
 
0.4%
201802 36
 
0.4%
201510 36
 
0.4%
202002 36
 
0.4%
202112 36
 
0.4%
201612 36
 
0.4%
201801 36
 
0.4%
Other values (647) 9640
96.4%
ValueCountFrequency (%)
201201 25
0.2%
201202 26
0.3%
201203 26
0.3%
201204 25
0.2%
201205 25
0.2%
201206 25
0.2%
201207 24
0.2%
201208 24
0.2%
201209 26
0.3%
201210 26
0.3%
ValueCountFrequency (%)
20220711 12
0.1%
20220704 11
0.1%
20220627 12
0.1%
20220620 12
0.1%
20220613 10
0.1%
20220606 10
0.1%
20220530 12
0.1%
20220523 11
0.1%
20220516 10
0.1%
20220509 12
0.1%

주택유형구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
8002 
3
1285 
7
 
713

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row7
5th row1

Common Values

ValueCountFrequency (%)
1 8002
80.0%
3 1285
 
12.8%
7 713
 
7.1%

Length

2024-01-10T05:33:10.809590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:33:10.910244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 8002
80.0%
3 1285
 
12.8%
7 713
 
7.1%

사이즈구분
Real number (ℝ)

HIGH CORRELATION 

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.1842
Minimum10
Maximum73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T05:33:11.014247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile10
Q111
median13
Q315
95-th percentile71
Maximum73
Range63
Interquartile range (IQR)4

Descriptive statistics

Standard deviation16.023912
Coefficient of variation (CV)0.83526609
Kurtosis5.5179193
Mean19.1842
Median Absolute Deviation (MAD)2
Skewness2.5469984
Sum191842
Variance256.76575
MonotonicityNot monotonic
2024-01-10T05:33:11.116035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
15 1348
13.5%
10 1346
13.5%
11 1332
13.3%
14 1327
13.3%
13 1327
13.3%
12 1322
13.2%
31 324
 
3.2%
33 322
 
3.2%
30 321
 
3.2%
32 318
 
3.2%
Other values (3) 713
7.1%
ValueCountFrequency (%)
10 1346
13.5%
11 1332
13.3%
12 1322
13.2%
13 1327
13.3%
14 1327
13.3%
15 1348
13.5%
30 321
 
3.2%
31 324
 
3.2%
32 318
 
3.2%
33 322
 
3.2%
ValueCountFrequency (%)
73 240
 
2.4%
72 238
 
2.4%
71 235
 
2.4%
33 322
 
3.2%
32 318
 
3.2%
31 324
 
3.2%
30 321
 
3.2%
15 1348
13.5%
14 1327
13.3%
13 1327
13.3%

매매전세월세구분
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
S
4593 
D
4593 
R
814 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowS
2nd rowS
3rd rowD
4th rowS
5th rowD

Common Values

ValueCountFrequency (%)
S 4593
45.9%
D 4593
45.9%
R 814
 
8.1%

Length

2024-01-10T05:33:11.224507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:33:11.312630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
s 4593
45.9%
d 4593
45.9%
r 814
 
8.1%

월간구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
W
6060 
M
3940 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
W 6060
60.6%
M 3940
39.4%

Length

2024-01-10T05:33:11.406208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:33:11.486355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
w 6060
60.6%
m 3940
39.4%

지수
Real number (ℝ)

MISSING 

Distinct7534
Distinct (%)82.6%
Missing881
Missing (%)8.8%
Infinite0
Infinite (%)0.0%
Mean94.35006
Minimum66.135458
Maximum115.08757
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T05:33:11.589095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum66.135458
5-th percentile76.617399
Q187.697338
median96.574432
Q3100.88133
95-th percentile107.45929
Maximum115.08757
Range48.952108
Interquartile range (IQR)13.183996

Descriptive statistics

Standard deviation9.6343787
Coefficient of variation (CV)0.10211312
Kurtosis-0.55677293
Mean94.35006
Median Absolute Deviation (MAD)6.2282468
Skewness-0.47045313
Sum860378.2
Variance92.821254
MonotonicityNot monotonic
2024-01-10T05:33:11.712025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.0 76
 
0.8%
97.3684210526321 61
 
0.6%
98.9473684210531 21
 
0.2%
83.1496062992125 17
 
0.2%
84.0946777628792 17
 
0.2%
76.3906684317302 17
 
0.2%
92.0871233489061 17
 
0.2%
93.8002031983616 15
 
0.1%
96.0526315789479 14
 
0.1%
99.53543299035 14
 
0.1%
Other values (7524) 8850
88.5%
(Missing) 881
 
8.8%
ValueCountFrequency (%)
66.1354583063669 9
0.1%
66.1569521810431 14
0.1%
66.2181329677625 2
 
< 0.1%
66.2725505180006 1
 
< 0.1%
66.3418823067371 1
 
< 0.1%
67.0057970436401 1
 
< 0.1%
67.2835707415315 2
 
< 0.1%
67.8591955634575 1
 
< 0.1%
68.281634091893 1
 
< 0.1%
69.2838359596129 1
 
< 0.1%
ValueCountFrequency (%)
115.087566362187 1
< 0.1%
114.970160216285 1
< 0.1%
114.918537649636 1
< 0.1%
114.917948978131 1
< 0.1%
114.799724285133 1
< 0.1%
114.79942467811 1
< 0.1%
114.761430819663 1
< 0.1%
114.742815580908 1
< 0.1%
114.730495116242 1
< 0.1%
114.719416247598 1
< 0.1%

지역구분 레벨
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

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 10000
100.0%

Length

2024-01-10T05:33:11.823997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:33:11.901014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

정렬순서
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
178
10000 

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 10000
100.0%

Length

2024-01-10T05:33:11.980980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:33:12.061494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
178 10000
100.0%

Interactions

2024-01-10T05:33:09.090226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:33:08.052860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:33:08.371577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:33:08.741499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:33:09.169714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:33:08.130211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:33:08.457960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:33:08.822063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:33:09.265791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:33:08.220593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:33:08.552888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:33:08.918926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:33:09.357941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:33:08.295584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:33:08.655853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:33:09.002862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T05:33:12.117676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호조사일자주택유형구분사이즈구분매매전세월세구분월간구분지수
번호1.0000.0990.0620.0620.0460.0980.059
조사일자0.0991.0000.3930.3930.2271.0000.328
주택유형구분0.0620.3931.0001.0000.4500.3920.506
사이즈구분0.0620.3931.0001.0000.4500.3920.506
매매전세월세구분0.0460.2270.4500.4501.0000.2260.432
월간구분0.0981.0000.3920.3920.2261.0000.325
지수0.0590.3280.5060.5060.4320.3251.000
2024-01-10T05:33:12.209091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
매매전세월세구분월간구분주택유형구분
매매전세월세구분1.0000.3690.174
월간구분0.3691.0000.620
주택유형구분0.1740.6201.000
2024-01-10T05:33:12.285753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호조사일자사이즈구분지수주택유형구분매매전세월세구분월간구분
번호1.0000.0130.0050.0020.0370.0270.075
조사일자0.0131.000-0.371-0.0540.6200.3691.000
사이즈구분0.005-0.3711.000-0.0191.0000.1740.620
지수0.002-0.054-0.0191.0000.3520.2880.249
주택유형구분0.0370.6201.0000.3521.0000.1740.620
매매전세월세구분0.0270.3690.1740.2880.1741.0000.369
월간구분0.0751.0000.6200.2490.6200.3691.000

Missing values

2024-01-10T05:33:09.472350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T05:33:09.643760image/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

번호지역코드지역명조사일자주택유형구분사이즈구분매매전세월세구분월간구분지수지역구분 레벨정렬순서
6283628444000충남201901111SM96.959950178
6236623744000충남201303114SM86.4732830178
9994999544000충남20130408111DW90.4761990178
1795179644000충남201810771SM95.1447240178
100101001144000충남20130909110DW<NA>0178
3671367244000충남201501332SM110.7323680178
1562156344000충남201707333RM106.092830178
4776477744000충남20130916115DW92.9308750178
101381013944000충남20160307113SW103.8734330178
2662266344000충남20190401112DW81.916630178
번호지역코드지역명조사일자주택유형구분사이즈구분매매전세월세구분월간구분지수지역구분 레벨정렬순서
12012144000충남20120528115SW78.0704570178
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