Overview

Dataset statistics

Number of variables9
Number of observations259
Missing cells2
Missing cells (%)0.1%
Duplicate rows67
Duplicate rows (%)25.9%
Total size in memory19.6 KiB
Average record size in memory77.5 B

Variable types

Categorical3
Numeric5
Text1

Alerts

Dataset has 67 (25.9%) duplicate rowsDuplicates
시군명 is highly overall correlated with 소재지우편번호 and 3 other fieldsHigh correlation
소재지도로명주소 is highly overall correlated with 면적(㎡) and 6 other fieldsHigh correlation
면적(㎡) is highly overall correlated with 취득액(천원) and 2 other fieldsHigh correlation
취득액(천원) is highly overall correlated with 면적(㎡) and 3 other fieldsHigh correlation
소재지우편번호 is highly overall correlated with 면적(㎡) and 4 other fieldsHigh correlation
WGS84위도 is highly overall correlated with 소재지우편번호 and 3 other fieldsHigh correlation
WGS84경도 is highly overall correlated with WGS84위도 and 2 other fieldsHigh correlation
구분명 is highly overall correlated with 취득액(천원) and 1 other fieldsHigh correlation

Reproduction

Analysis started2023-12-10 22:12:45.292652
Analysis finished2023-12-10 22:12:47.565469
Duration2.27 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
의정부시
170 
수원시
84 
화성시
 
3
광주시
 
2

Length

Max length4
Median length4
Mean length3.6563707
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row광주시
2nd row광주시
3rd row수원시
4th row수원시
5th row수원시

Common Values

ValueCountFrequency (%)
의정부시 170
65.6%
수원시 84
32.4%
화성시 3
 
1.2%
광주시 2
 
0.8%

Length

2023-12-11T07:12:47.829485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:12:47.911366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의정부시 170
65.6%
수원시 84
32.4%
화성시 3
 
1.2%
광주시 2
 
0.8%

구분명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
전세
158 
소유
101 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전세 158
61.0%
소유 101
39.0%

Length

2023-12-11T07:12:47.993027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:12:48.062881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전세 158
61.0%
소유 101
39.0%

면적(㎡)
Real number (ℝ)

HIGH CORRELATION 

Distinct31
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.344324
Minimum17.12
Maximum914
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-11T07:12:48.138870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17.12
5-th percentile17.19
Q123.455
median59
Q360
95-th percentile85
Maximum914
Range896.88
Interquartile range (IQR)36.545

Descriptive statistics

Standard deviation78.916833
Coefficient of variation (CV)1.4793858
Kurtosis109.22138
Mean53.344324
Median Absolute Deviation (MAD)1
Skewness10.11459
Sum13816.18
Variance6227.8666
MonotonicityNot monotonic
2023-12-11T07:12:48.228924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
59.0 87
33.6%
60.0 54
20.8%
18.93 25
 
9.7%
17.19 13
 
5.0%
85.0 10
 
3.9%
18.96 10
 
3.9%
23.49 9
 
3.5%
25.9 7
 
2.7%
28.0 4
 
1.5%
23.42 4
 
1.5%
Other values (21) 36
13.9%
ValueCountFrequency (%)
17.12 4
 
1.5%
17.19 13
5.0%
18.93 25
9.7%
18.96 10
 
3.9%
20.0 1
 
0.4%
20.04 1
 
0.4%
21.0 2
 
0.8%
23.0 3
 
1.2%
23.4 2
 
0.8%
23.42 4
 
1.5%
ValueCountFrequency (%)
914.0 2
 
0.8%
121.0 1
 
0.4%
117.0 1
 
0.4%
85.0 10
 
3.9%
71.0 1
 
0.4%
70.0 1
 
0.4%
68.0 1
 
0.4%
67.0 1
 
0.4%
62.0 1
 
0.4%
60.0 54
20.8%

취득액(천원)
Real number (ℝ)

HIGH CORRELATION 

Distinct65
Distinct (%)25.3%
Missing2
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean172249.18
Minimum16193
Maximum390000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-11T07:12:48.338398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16193
5-th percentile83600
Q1100000
median160000
Q3230000
95-th percentile300000
Maximum390000
Range373807
Interquartile range (IQR)130000

Descriptive statistics

Standard deviation72710.273
Coefficient of variation (CV)0.42212261
Kurtosis-0.6945128
Mean172249.18
Median Absolute Deviation (MAD)60000
Skewness0.45889864
Sum44268039
Variance5.2867838 × 109
MonotonicityNot monotonic
2023-12-11T07:12:48.477660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100000 27
 
10.4%
91500 17
 
6.6%
160000 17
 
6.6%
300000 16
 
6.2%
240000 11
 
4.2%
280000 10
 
3.9%
220000 9
 
3.5%
200000 9
 
3.5%
155000 8
 
3.1%
83600 7
 
2.7%
Other values (55) 126
48.6%
ValueCountFrequency (%)
16193 1
 
0.4%
55000 1
 
0.4%
80000 1
 
0.4%
82010 1
 
0.4%
82750 5
1.9%
83600 7
2.7%
83700 1
 
0.4%
84450 1
 
0.4%
84550 2
 
0.8%
90670 1
 
0.4%
ValueCountFrequency (%)
390000 1
 
0.4%
360000 1
 
0.4%
330000 1
 
0.4%
320000 1
 
0.4%
310000 1
 
0.4%
305000 1
 
0.4%
300000 16
6.2%
297675 1
 
0.4%
290000 1
 
0.4%
280000 10
3.9%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct37
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13338.394
Minimum11627
Maximum18550
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-11T07:12:48.581264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11627
5-th percentile11670
Q111696
median11772
Q316425
95-th percentile16509
Maximum18550
Range6923
Interquartile range (IQR)4729

Descriptive statistics

Standard deviation2268.3068
Coefficient of variation (CV)0.17005847
Kurtosis-1.3771942
Mean13338.394
Median Absolute Deviation (MAD)76
Skewness0.73448133
Sum3454644
Variance5145215.9
MonotonicityNot monotonic
2023-12-11T07:12:48.681283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
11696 45
17.4%
11670 35
13.5%
11772 30
11.6%
16435 20
 
7.7%
16509 16
 
6.2%
16295 15
 
5.8%
11756 15
 
5.8%
11777 14
 
5.4%
11750 10
 
3.9%
16519 6
 
2.3%
Other values (27) 53
20.5%
ValueCountFrequency (%)
11627 2
 
0.8%
11670 35
13.5%
11696 45
17.4%
11740 4
 
1.5%
11741 4
 
1.5%
11745 2
 
0.8%
11750 10
 
3.9%
11752 1
 
0.4%
11756 15
 
5.8%
11772 30
11.6%
ValueCountFrequency (%)
18550 3
 
1.2%
16550 1
 
0.4%
16526 1
 
0.4%
16519 6
 
2.3%
16509 16
6.2%
16498 1
 
0.4%
16497 2
 
0.8%
16496 2
 
0.8%
16489 1
 
0.4%
16485 1
 
0.4%

소재지지번주소
Text

Distinct73
Distinct (%)28.2%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-11T07:12:48.842676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length33
Mean length28.830116
Min length18

Characters and Unicode

Total characters7467
Distinct characters133
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)6.6%

Sample

1st row경기도 광주시 곤지암읍 곤지암리 593 삼주노블리제
2nd row경기도 광주시 곤지암읍 곤지암리 459 쌍용아파트
3rd row경기도 수원시 영통구 이의동 1351 광교경동해피리움
4th row경기도 수원시 영통구 이의동 1351 광교경동해피리움
5th row경기도 수원시 영통구 이의동 1351 광교경동해피리움
ValueCountFrequency (%)
경기도 259
17.8%
의정부시 170
 
11.7%
수원시 84
 
5.8%
의정부동 80
 
5.5%
167-1 45
 
3.1%
메트로타워 45
 
3.1%
팔달구 40
 
2.7%
용현동 36
 
2.5%
442-2 35
 
2.4%
이든타워 35
 
2.4%
Other values (142) 630
43.2%
2023-12-11T07:12:49.125789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1280
 
17.1%
1 368
 
4.9%
도 273
 
3.7%
동 272
 
3.6%
경 268
 
3.6%
의 266
 
3.6%
시 261
 
3.5%
- 259
 
3.5%
기 259
 
3.5%
정 253
 
3.4%
Other values (123) 3708
49.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4412
59.1%
Decimal Number 1510
 
20.2%
Space Separator 1280
 
17.1%
Dash Punctuation 259
 
3.5%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 273
 
6.2%
동 272
 
6.2%
경 268
 
6.1%
의 266
 
6.0%
시 261
 
5.9%
기 259
 
5.9%
정 253
 
5.7%
부 250
 
5.7%
트 131
 
3.0%
원 131
 
3.0%
Other values (108) 2048
46.4%
Decimal Number
ValueCountFrequency (%)
1 368
24.4%
4 207
13.7%
0 173
11.5%
5 144
 
9.5%
2 141
 
9.3%
7 140
 
9.3%
6 133
 
8.8%
3 116
 
7.7%
8 63
 
4.2%
9 25
 
1.7%
Space Separator
ValueCountFrequency (%)
1280
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 259
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Punctuation
ValueCountFrequency (%)
@ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4412
59.1%
Common 3055
40.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 273
 
6.2%
동 272
 
6.2%
경 268
 
6.1%
의 266
 
6.0%
시 261
 
5.9%
기 259
 
5.9%
정 253
 
5.7%
부 250
 
5.7%
트 131
 
3.0%
원 131
 
3.0%
Other values (108) 2048
46.4%
Common
ValueCountFrequency (%)
1280
41.9%
1 368
 
12.0%
- 259
 
8.5%
4 207
 
6.8%
0 173
 
5.7%
5 144
 
4.7%
2 141
 
4.6%
7 140
 
4.6%
6 133
 
4.4%
3 116
 
3.8%
Other values (5) 94
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4412
59.1%
ASCII 3055
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1280
41.9%
1 368
 
12.0%
- 259
 
8.5%
4 207
 
6.8%
0 173
 
5.7%
5 144
 
4.7%
2 141
 
4.6%
7 140
 
4.6%
6 133
 
4.4%
3 116
 
3.8%
Other values (5) 94
 
3.1%
Hangul
ValueCountFrequency (%)
도 273
 
6.2%
동 272
 
6.2%
경 268
 
6.1%
의 266
 
6.0%
시 261
 
5.9%
기 259
 
5.9%
정 253
 
5.7%
부 250
 
5.7%
트 131
 
3.0%
원 131
 
3.0%
Other values (108) 2048
46.4%

소재지도로명주소
Categorical

HIGH CORRELATION 

Distinct44
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
경기도 의정부시 평화로483번길 30-3
45 
경기도 의정부시 흥선로154번길 51
35 
경기도 의정부시 부용로 233
30 
경기도 수원시 팔달구 덕영대로697번길 48
19 
경기도 의정부시 부용로 137
15 
Other values (39)
115 

Length

Max length28
Median length25
Mean length19.876448
Min length14

Unique

Unique17 ?
Unique (%)6.6%

Sample

1st row경기도 광주시 곤지암읍 곤지암로11번길 11-10
2nd row경기도 광주시 곤지암읍 곤지암로 120
3rd row경기도 수원시 영통구 에듀타운로 108
4th row경기도 수원시 영통구 에듀타운로 108
5th row경기도 수원시 영통구 에듀타운로 108

Common Values

ValueCountFrequency (%)
경기도 의정부시 평화로483번길 30-3 45
17.4%
경기도 의정부시 흥선로154번길 51 35
13.5%
경기도 의정부시 부용로 233 30
11.6%
경기도 수원시 팔달구 덕영대로697번길 48 19
 
7.3%
경기도 의정부시 부용로 137 15
 
5.8%
경기도 수원시 장안구 경수대로976번길 22 15
 
5.8%
경기도 의정부시 장곡로 514 14
 
5.4%
경기도 수원시 영통구 에듀타운로 108 8
 
3.1%
경기도 의정부시 호국로 1369 6
 
2.3%
경기도 수원시 영통구 중부대로448번길 28 6
 
2.3%
Other values (34) 66
25.5%

Length

2023-12-11T07:12:49.240938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 259
22.9%
의정부시 170
15.1%
수원시 84
 
7.4%
부용로 46
 
4.1%
평화로483번길 45
 
4.0%
30-3 45
 
4.0%
팔달구 40
 
3.5%
흥선로154번길 35
 
3.1%
51 35
 
3.1%
233 30
 
2.7%
Other values (83) 340
30.1%

WGS84위도
Real number (ℝ)

HIGH CORRELATION 

Distinct58
Distinct (%)22.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.585544
Minimum37.213937
Maximum37.753713
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-11T07:12:49.348273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.213937
5-th percentile37.274195
Q137.29089
median37.734144
Q337.746438
95-th percentile37.752022
Maximum37.753713
Range0.53977566
Interquartile range (IQR)0.45554875

Descriptive statistics

Standard deviation0.21710123
Coefficient of variation (CV)0.0057761896
Kurtosis-1.5477971
Mean37.585544
Median Absolute Deviation (MAD)0.014651864
Skewness-0.66930387
Sum9734.6559
Variance0.047132944
MonotonicityNot monotonic
2023-12-11T07:12:49.462880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.7341444077 45
17.4%
37.7389281776 35
 
13.5%
37.2846881529 19
 
7.3%
37.305819745 15
 
5.8%
37.2903280245 8
 
3.1%
37.7488441473 8
 
3.1%
37.752022332 7
 
2.7%
37.7487962713 6
 
2.3%
37.7466159961 6
 
2.3%
37.268490116 6
 
2.3%
Other values (48) 104
40.2%
ValueCountFrequency (%)
37.2139370063 1
 
0.4%
37.2160613749 2
 
0.8%
37.2534401967 1
 
0.4%
37.2666685379 1
 
0.4%
37.268490116 6
2.3%
37.2697194417 1
 
0.4%
37.2739482856 1
 
0.4%
37.2742229011 1
 
0.4%
37.2764562949 2
 
0.8%
37.2764695312 1
 
0.4%
ValueCountFrequency (%)
37.7537126614 2
 
0.8%
37.7535376323 2
 
0.8%
37.7533819396 4
1.5%
37.7524096923 1
 
0.4%
37.752022332 7
2.7%
37.7497957543 4
1.5%
37.7496360512 4
1.5%
37.7493821192 2
 
0.8%
37.7491132946 4
1.5%
37.7488441473 8
3.1%

WGS84경도
Real number (ℝ)

HIGH CORRELATION 

Distinct58
Distinct (%)22.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.04363
Minimum126.73395
Maximum127.34512
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-11T07:12:49.575923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.73395
5-th percentile126.9929
Q1127.0433
median127.04703
Q3127.0606
95-th percentile127.08345
Maximum127.34512
Range0.61116244
Interquartile range (IQR)0.017296648

Descriptive statistics

Standard deviation0.050516264
Coefficient of variation (CV)0.00039762926
Kurtosis23.62499
Mean127.04363
Median Absolute Deviation (MAD)0.013507857
Skewness-1.1665567
Sum32904.3
Variance0.0025518929
MonotonicityNot monotonic
2023-12-11T07:12:49.688015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0470277963 45
17.4%
127.0441044853 35
 
13.5%
126.9929017018 19
 
7.3%
127.0085803035 15
 
5.8%
127.0454601187 8
 
3.1%
127.0834549596 8
 
3.1%
127.0724146699 7
 
2.7%
127.0826606453 6
 
2.3%
127.0605954979 6
 
2.3%
127.0605356533 6
 
2.3%
Other values (48) 104
40.2%
ValueCountFrequency (%)
126.7339536587 2
 
0.8%
126.7344034122 1
 
0.4%
126.9793126439 1
 
0.4%
126.9869075566 5
 
1.9%
126.9874688289 1
 
0.4%
126.992037217 1
 
0.4%
126.9929017018 19
7.3%
126.996549187 3
 
1.2%
126.998224924 4
 
1.5%
127.0050534272 1
 
0.4%
ValueCountFrequency (%)
127.3451160979 1
 
0.4%
127.3388205722 1
 
0.4%
127.086883319 2
 
0.8%
127.0846032066 2
 
0.8%
127.0834549596 8
3.1%
127.0831015629 4
1.5%
127.0830986301 4
1.5%
127.0826606453 6
2.3%
127.0826573551 2
 
0.8%
127.0823826001 4
1.5%

Interactions

2023-12-11T07:12:47.063709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:12:45.665529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:12:46.000633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:12:46.378244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:12:46.720354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:12:47.127333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:12:45.722239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:12:46.073174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:12:46.442452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:12:46.781790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:12:47.199477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:12:45.801111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:12:46.147969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:12:46.516306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:12:46.857322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:12:47.266549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:12:45.871633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:12:46.227256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:12:46.581808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:12:46.928471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:12:47.333538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:12:45.937897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:12:46.301450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:12:46.649496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:12:46.995443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T07:12:49.774704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명구분명면적(㎡)취득액(천원)소재지우편번호소재지지번주소소재지도로명주소WGS84위도WGS84경도
시군명1.0000.5610.0000.5941.0001.0001.0000.9970.997
구분명0.5611.0000.0790.8200.3210.9900.9900.5620.359
면적(㎡)0.0000.0791.0000.0000.0000.9530.9570.0000.000
취득액(천원)0.5940.8200.0001.0000.5810.9370.9080.5910.549
소재지우편번호1.0000.3210.0000.5811.0001.0001.0000.9190.962
소재지지번주소1.0000.9900.9530.9371.0001.0001.0001.0001.000
소재지도로명주소1.0000.9900.9570.9081.0001.0001.0001.0001.000
WGS84위도0.9970.5620.0000.5910.9191.0001.0001.0000.987
WGS84경도0.9970.3590.0000.5490.9621.0001.0000.9871.000
2023-12-11T07:12:49.893640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분명시군명소재지도로명주소
구분명1.0000.3830.847
시군명0.3831.0000.918
소재지도로명주소0.8470.9181.000
2023-12-11T07:12:49.977859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
면적(㎡)취득액(천원)소재지우편번호WGS84위도WGS84경도시군명구분명소재지도로명주소
면적(㎡)1.0000.8220.724-0.295-0.1500.0000.1300.776
취득액(천원)0.8221.0000.687-0.215-0.0580.4180.8330.625
소재지우편번호0.7240.6871.000-0.546-0.1980.9980.3830.920
WGS84위도-0.295-0.215-0.5461.0000.7440.9280.3830.918
WGS84경도-0.150-0.058-0.1980.7441.0000.9250.2390.918
시군명0.0000.4180.9980.9280.9251.0000.3830.918
구분명0.1300.8330.3830.3830.2390.3831.0000.847
소재지도로명주소0.7760.6250.9200.9180.9180.9180.8471.000

Missing values

2023-12-11T07:12:47.422081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:12:47.523685image/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

시군명구분명면적(㎡)취득액(천원)소재지우편번호소재지지번주소소재지도로명주소WGS84위도WGS84경도
0광주시전세85.027000012804경기도 광주시 곤지암읍 곤지암리 593 삼주노블리제경기도 광주시 곤지암읍 곤지암로11번길 11-1037.3475127.345116
1광주시전세85.024950012804경기도 광주시 곤지암읍 곤지암리 459 쌍용아파트경기도 광주시 곤지암읍 곤지암로 12037.345346127.338821
2수원시전세21.014500016509경기도 수원시 영통구 이의동 1351 광교경동해피리움경기도 수원시 영통구 에듀타운로 10837.290328127.04546
3수원시전세21.014500016509경기도 수원시 영통구 이의동 1351 광교경동해피리움경기도 수원시 영통구 에듀타운로 10837.290328127.04546
4수원시전세23.014500016509경기도 수원시 영통구 이의동 1351 광교경동해피리움경기도 수원시 영통구 에듀타운로 10837.290328127.04546
5수원시전세23.015000016509경기도 수원시 영통구 이의동 1351 광교경동해피리움경기도 수원시 영통구 에듀타운로 10837.290328127.04546
6수원시전세23.016000016509경기도 수원시 영통구 이의동 1351 광교경동해피리움경기도 수원시 영통구 에듀타운로 10837.290328127.04546
7수원시전세28.017500016509경기도 수원시 영통구 이의동 1351 광교경동해피리움경기도 수원시 영통구 에듀타운로 10837.290328127.04546
8수원시전세28.017500016509경기도 수원시 영통구 이의동 1351 광교경동해피리움경기도 수원시 영통구 에듀타운로 10837.290328127.04546
9수원시전세28.018000016509경기도 수원시 영통구 이의동 1351 광교경동해피리움경기도 수원시 영통구 에듀타운로 10837.290328127.04546
시군명구분명면적(㎡)취득액(천원)소재지우편번호소재지지번주소소재지도로명주소WGS84위도WGS84경도
249의정부시전세59.018000011777경기도 의정부시 신곡동 755-1 주공그린빌 401-106경기도 의정부시 장곡로 51437.747083127.060116
250의정부시전세59.016000011772경기도 의정부시 용현동 547-3 송산주공아파트 107-306경기도 의정부시 부용로 23337.749796127.082383
251의정부시전세59.016500011772경기도 의정부시 용현동 547-3 송산주공아파트 115-804경기도 의정부시 부용로 23337.748844127.083455
252의정부시전세59.020000011627경기도 의정부시 호원동 351-1 삼익1차아파트 105-1103경기도 의정부시 백석로 3337.731048127.041202
253의정부시전세59.015000011793경기도 의정부시 용현동 46 현대1차아파트 103-110경기도 의정부시 오목로 3637.732452127.086883
254의정부시전세59.017000011772경기도 의정부시 용현동 547-3 송산주공아파트 114-1101경기도 의정부시 부용로 23337.748796127.082661
255의정부시전세59.016000011772경기도 의정부시 용현동 547-3 송산주공아파트 113-402경기도 의정부시 부용로 23337.749113127.083102
256화성시전세70.015000018550경기도 화성시 송산면 사강리 602-9번지외2필지 드리움하우스경기도 화성시 송산면 송산포도로150번길 18-1637.216061126.733954
257화성시전세68.015000018550경기도 화성시 송산면 사강리 602-9번지외2필지 드리움하우스경기도 화성시 송산면 송산포도로150번길 18-1637.216061126.733954
258화성시전세58.016000018550경기도 화성시 송산면 사강리 693-1외3필지 영도엘리시아경기도 화성시 송산면 사강시장길43번길 337.213937126.734403

Duplicate rows

Most frequently occurring

시군명구분명면적(㎡)취득액(천원)소재지우편번호소재지지번주소소재지도로명주소WGS84위도WGS84경도# duplicates
13의정부시소유18.939150011670경기도 의정부시 의정부동 442-2 이든타워경기도 의정부시 흥선로154번길 5137.738928127.04410417
21의정부시소유23.4910000011696경기도 의정부시 의정부동 167-1 메트로타워경기도 의정부시 평화로483번길 30-337.734144127.0470289
7수원시전세60.028000016435경기도 수원시 팔달구 화서동 650번지 화서주공아파트경기도 수원시 팔달구 덕영대로697번길 4837.284688126.9929027
12의정부시소유17.198360011696경기도 의정부시 의정부동 167-1 메트로타워경기도 의정부시 평화로483번길 30-337.734144127.0470287
24의정부시소유25.910000011696경기도 의정부시 의정부동 167-1 메트로타워경기도 의정부시 평화로483번길 30-337.734144127.0470287
15의정부시소유18.939400011670경기도 의정부시 의정부동 442-2 이든타워경기도 의정부시 흥선로154번길 5137.738928127.0441045
8수원시전세60.030000016435경기도 수원시 팔달구 화서동 650번지 화서주공아파트경기도 수원시 팔달구 덕영대로697번길 4837.284688126.9929024
9수원시전세60.030000016519경기도 수원시 영통구 원천동 548 원천레이크파크경기도 수원시 영통구 중부대로448번길 2837.26849127.0605364
11의정부시소유17.198275011696경기도 의정부시 의정부동 167-1 메트로타워경기도 의정부시 평화로483번길 30-337.734144127.0470284
16의정부시소유18.969300011670경기도 의정부시 의정부동 442-2 이든타워경기도 의정부시 흥선로154번길 5137.738928127.0441044