Overview

Dataset statistics

Number of variables7
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory673.8 KiB
Average record size in memory69.0 B

Variable types

Numeric4
Categorical3

Dataset

Description경기도 가평군의 2024년 1월 1일 기준 개별공시지가 데이터(법정동, 리, 구분, 본번, 부번, 결정지가)입니다.
Author경기도 가평군
URLhttps://www.data.go.kr/data/15113702/fileData.do

Alerts

리 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
법정동 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
연번 is highly overall correlated with 법정동 and 1 other fieldsHigh correlation
연번 has unique valuesUnique
부번 has 1979 (19.8%) zerosZeros

Reproduction

Analysis started2024-03-15 02:03:15.559649
Analysis finished2024-03-15 02:03:22.800526
Duration7.24 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50319.681
Minimum14
Maximum99965
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T11:03:23.007595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile4921.2
Q125450.25
median50779.5
Q375518.75
95-th percentile94905.2
Maximum99965
Range99951
Interquartile range (IQR)50068.5

Descriptive statistics

Standard deviation28867.424
Coefficient of variation (CV)0.57368059
Kurtosis-1.2051612
Mean50319.681
Median Absolute Deviation (MAD)25070.5
Skewness-0.023089404
Sum5.0319681 × 108
Variance8.3332818 × 108
MonotonicityNot monotonic
2024-03-15T11:03:23.646578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6188 1
 
< 0.1%
85647 1
 
< 0.1%
31693 1
 
< 0.1%
29050 1
 
< 0.1%
12544 1
 
< 0.1%
89032 1
 
< 0.1%
26772 1
 
< 0.1%
3124 1
 
< 0.1%
89821 1
 
< 0.1%
62559 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
14 1
< 0.1%
15 1
< 0.1%
37 1
< 0.1%
54 1
< 0.1%
56 1
< 0.1%
71 1
< 0.1%
72 1
< 0.1%
76 1
< 0.1%
80 1
< 0.1%
82 1
< 0.1%
ValueCountFrequency (%)
99965 1
< 0.1%
99961 1
< 0.1%
99960 1
< 0.1%
99954 1
< 0.1%
99915 1
< 0.1%
99883 1
< 0.1%
99876 1
< 0.1%
99872 1
< 0.1%
99870 1
< 0.1%
99845 1
< 0.1%

법정동
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
가평읍
3894 
설악면
3621 
청평면
2485 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row가평읍
2nd row설악면
3rd row가평읍
4th row설악면
5th row설악면

Common Values

ValueCountFrequency (%)
가평읍 3894
38.9%
설악면 3621
36.2%
청평면 2485
24.9%

Length

2024-03-15T11:03:24.068399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T11:03:24.509993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가평읍 3894
38.9%
설악면 3621
36.2%
청평면 2485
24.9%

리
Categorical

HIGH CORRELATION 

Distinct34
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
상천리
877 
청평리
 
687
대성리
 
465
읍내리
 
437
달전리
 
378
Other values (29)
7156 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대곡리
2nd row묵안리
3rd row경반리
4th row엄소리
5th row신천리

Common Values

ValueCountFrequency (%)
상천리 877
 
8.8%
청평리 687
 
6.9%
대성리 465
 
4.7%
읍내리 437
 
4.4%
달전리 378
 
3.8%
신천리 366
 
3.7%
위곡리 324
 
3.2%
대곡리 313
 
3.1%
하천리 312
 
3.1%
산유리 303
 
3.0%
Other values (24) 5538
55.4%

Length

2024-03-15T11:03:24.792535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
상천리 877
 
8.8%
청평리 687
 
6.9%
대성리 465
 
4.7%
읍내리 437
 
4.4%
달전리 378
 
3.8%
신천리 366
 
3.7%
위곡리 324
 
3.2%
대곡리 313
 
3.1%
하천리 312
 
3.1%
산유리 303
 
3.0%
Other values (24) 5538
55.4%

구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
8303 
2
1697 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 8303
83.0%
2 1697
 
17.0%

Length

2024-03-15T11:03:24.999530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T11:03:25.169228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 8303
83.0%
2 1697
 
17.0%

본번
Real number (ℝ)

Distinct1146
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean346.3559
Minimum1
Maximum1798
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T11:03:25.438387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile21
Q1113
median292
Q3508
95-th percentile866.1
Maximum1798
Range1797
Interquartile range (IQR)395

Descriptive statistics

Standard deviation287.82711
Coefficient of variation (CV)0.83101547
Kurtosis2.0659755
Mean346.3559
Median Absolute Deviation (MAD)192
Skewness1.2733162
Sum3463559
Variance82844.445
MonotonicityNot monotonic
2024-03-15T11:03:25.887773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
143 45
 
0.4%
90 43
 
0.4%
25 41
 
0.4%
3 41
 
0.4%
46 40
 
0.4%
84 40
 
0.4%
6 39
 
0.4%
321 39
 
0.4%
64 37
 
0.4%
324 37
 
0.4%
Other values (1136) 9598
96.0%
ValueCountFrequency (%)
1 27
0.3%
2 31
0.3%
3 41
0.4%
4 20
0.2%
5 10
 
0.1%
6 39
0.4%
7 19
0.2%
8 25
0.2%
9 20
0.2%
10 24
0.2%
ValueCountFrequency (%)
1798 1
 
< 0.1%
1761 1
 
< 0.1%
1758 1
 
< 0.1%
1730 1
 
< 0.1%
1722 3
< 0.1%
1709 1
 
< 0.1%
1707 1
 
< 0.1%
1671 1
 
< 0.1%
1667 1
 
< 0.1%
1661 1
 
< 0.1%

부번
Real number (ℝ)

ZEROS 

Distinct186
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.5149
Minimum0
Maximum249
Zeros1979
Zeros (%)19.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T11:03:26.257429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q311
95-th percentile51.05
Maximum249
Range249
Interquartile range (IQR)10

Descriptive statistics

Standard deviation23.412898
Coefficient of variation (CV)2.0332698
Kurtosis24.728263
Mean11.5149
Median Absolute Deviation (MAD)4
Skewness4.4003794
Sum115149
Variance548.16379
MonotonicityNot monotonic
2024-03-15T11:03:26.518893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1979
19.8%
1 1253
12.5%
2 1011
 
10.1%
3 725
 
7.2%
4 549
 
5.5%
5 467
 
4.7%
6 399
 
4.0%
7 314
 
3.1%
8 273
 
2.7%
10 229
 
2.3%
Other values (176) 2801
28.0%
ValueCountFrequency (%)
0 1979
19.8%
1 1253
12.5%
2 1011
10.1%
3 725
 
7.2%
4 549
 
5.5%
5 467
 
4.7%
6 399
 
4.0%
7 314
 
3.1%
8 273
 
2.7%
9 209
 
2.1%
ValueCountFrequency (%)
249 1
< 0.1%
246 1
< 0.1%
238 1
< 0.1%
234 1
< 0.1%
227 1
< 0.1%
222 1
< 0.1%
216 1
< 0.1%
215 2
< 0.1%
213 1
< 0.1%
211 1
< 0.1%

결정지가
Real number (ℝ)

Distinct3148
Distinct (%)31.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean114671.5
Minimum594
Maximum1921000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T11:03:26.810168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum594
5-th percentile3449.5
Q118100
median52100
Q3122125
95-th percentile459320
Maximum1921000
Range1920406
Interquartile range (IQR)104025

Descriptive statistics

Standard deviation180016.57
Coefficient of variation (CV)1.5698458
Kurtosis17.18473
Mean114671.5
Median Absolute Deviation (MAD)40400
Skewness3.5898368
Sum1.146715 × 109
Variance3.2405965 × 1010
MonotonicityNot monotonic
2024-03-15T11:03:27.208236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11600 35
 
0.4%
13500 31
 
0.3%
59000 31
 
0.3%
16000 30
 
0.3%
10700 29
 
0.3%
20900 29
 
0.3%
13800 28
 
0.3%
19800 27
 
0.3%
11500 26
 
0.3%
17400 25
 
0.2%
Other values (3138) 9709
97.1%
ValueCountFrequency (%)
594 1
< 0.1%
603 1
< 0.1%
693 1
< 0.1%
854 1
< 0.1%
873 1
< 0.1%
889 1
< 0.1%
957 1
< 0.1%
966 1
< 0.1%
969 1
< 0.1%
976 2
< 0.1%
ValueCountFrequency (%)
1921000 2
< 0.1%
1863000 1
< 0.1%
1610000 1
< 0.1%
1523000 1
< 0.1%
1513000 1
< 0.1%
1482000 1
< 0.1%
1476000 2
< 0.1%
1469000 1
< 0.1%
1467000 1
< 0.1%
1455000 1
< 0.1%

Interactions

2024-03-15T11:03:20.564848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T11:03:16.823833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T11:03:17.981075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T11:03:19.210106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T11:03:20.936983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T11:03:17.080730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T11:03:18.281884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T11:03:19.494690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T11:03:21.307065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T11:03:17.350063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T11:03:18.566159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T11:03:19.889094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T11:03:21.728266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T11:03:17.645011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T11:03:18.862025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T11:03:20.161236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T11:03:27.545974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번법정동리구분본번부번결정지가
연번1.0000.9530.9920.2190.4950.2770.446
법정동0.9531.0001.0000.0270.2840.2930.211
리0.9921.0001.0000.1910.5360.2940.485
구분0.2190.0270.1911.0000.5330.1630.241
본번0.4950.2840.5360.5331.0000.1080.236
부번0.2770.2930.2940.1630.1081.0000.067
결정지가0.4460.2110.4850.2410.2360.0671.000
2024-03-15T11:03:27.897507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분리법정동
구분1.0000.1510.046
리0.1511.0000.998
법정동0.0460.9981.000
2024-03-15T11:03:28.254872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번본번부번결정지가법정동리구분
연번1.0000.0190.150-0.1040.9480.9320.168
본번0.0191.000-0.0860.2230.1770.2190.411
부번0.150-0.0861.0000.0270.1830.1070.125
결정지가-0.1040.2230.0271.0000.1280.1920.185
법정동0.9480.1770.1830.1281.0000.9980.046
리0.9320.2190.1070.1920.9981.0000.151
구분0.1680.4110.1250.1850.0460.1511.000

Missing values

2024-03-15T11:03:22.336808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T11:03:22.716684image/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

연번법정동리구분본번부번결정지가
61876188가평읍대곡리129415169800
6725067251설악면묵안리1690135800
1998219983가평읍경반리1533710900
6091660917설악면엄소리145345400
3937039371설악면신천리113923400
7981879819청평면청평리15562436200
1537215373가평읍상색리14781722200
9525995260청평면대성리134017386800
2563925640가평읍마장리1884554200
2616926170가평읍마장리25448580
연번법정동리구분본번부번결정지가
80088009가평읍달전리1997272000
5229152292설악면송산리19964132800
9175091751청평면하천리12306339300
1892518926가평읍경반리1110066300
46724673가평읍대곡리1582266400
7079570796설악면방일리1409129400
8269882699청평면상천리15315156900
6170761708설악면엄소리1277434600
3745037451가평읍금대리128424246900
9559695597청평면대성리13711133700