Overview

Dataset statistics

Number of variables6
Number of observations3994
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory202.9 KiB
Average record size in memory52.0 B

Variable types

Categorical2
Text1
Numeric3

Dataset

Description토지 소유 세대수 집계 현황
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=HVAB1W16CWO263XSDIW124399037&infSeq=1

Alerts

지번수(개) is highly overall correlated with 소유자수(명) and 1 other fieldsHigh correlation
소유자수(명) is highly overall correlated with 지번수(개)High correlation
토지면적(㎡) is highly overall correlated with 지번수(개)High correlation

Reproduction

Analysis started2023-12-16 06:03:23.222739
Analysis finished2023-12-16 06:03:32.711528
Duration9.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년월
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size31.3 KiB
201712
1998 
201212
1996 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row201712
2nd row201712
3rd row201712
4th row201712
5th row201712

Common Values

ValueCountFrequency (%)
201712 1998
50.0%
201212 1996
50.0%

Length

2023-12-16T06:03:32.981819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T06:03:33.571674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
201712 1998
50.0%
201212 1996
50.0%

시군명
Categorical

Distinct31
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size31.3 KiB
화성시
386 
안성시
382 
여주시
291 
평택시
272 
이천시
264 
Other values (26)
2399 

Length

Max length4
Median length3
Mean length3.0425638
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
화성시 386
 
9.7%
안성시 382
 
9.6%
여주시 291
 
7.3%
평택시 272
 
6.8%
이천시 264
 
6.6%
파주시 252
 
6.3%
양평군 220
 
5.5%
용인시 214
 
5.4%
포천시 176
 
4.4%
연천군 172
 
4.3%
Other values (21) 1365
34.2%

Length

2023-12-16T06:03:34.160941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
화성시 386
 
9.7%
안성시 382
 
9.6%
여주시 291
 
7.3%
평택시 272
 
6.8%
이천시 264
 
6.6%
파주시 252
 
6.3%
양평군 220
 
5.5%
용인시 214
 
5.4%
포천시 176
 
4.4%
연천군 172
 
4.3%
Other values (21) 1365
34.2%

법정동명
Text

Distinct2234
Distinct (%)55.9%
Missing0
Missing (%)0.0%
Memory size31.3 KiB
2023-12-16T06:03:35.371549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length15
Mean length14.502253
Min length10

Characters and Unicode

Total characters57922
Distinct characters316
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique474 ?
Unique (%)11.9%

Sample

1st row경기도 가평군 가평읍 개곡리
2nd row경기도 가평군 가평읍 경반리
3rd row경기도 가평군 가평읍 금대리
4th row경기도 가평군 가평읍 달전리
5th row경기도 가평군 가평읍 대곡리
ValueCountFrequency (%)
경기도 3994
25.9%
화성시 386
 
2.5%
안성시 382
 
2.5%
평택시 272
 
1.8%
이천시 264
 
1.7%
파주시 252
 
1.6%
양평군 220
 
1.4%
용인시 214
 
1.4%
포천시 176
 
1.1%
연천군 172
 
1.1%
Other values (1981) 9097
59.0%
2023-12-16T06:03:37.236771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11435
19.7%
도 4162
 
7.2%
기 4072
 
7.0%
경 4004
 
6.9%
시 3410
 
5.9%
리 2871
 
5.0%
면 2099
 
3.6%
동 1468
 
2.5%
성 1127
 
1.9%
주 1009
 
1.7%
Other values (306) 22265
38.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 46475
80.2%
Space Separator 11435
 
19.7%
Decimal Number 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 4162
 
9.0%
기 4072
 
8.8%
경 4004
 
8.6%
시 3410
 
7.3%
리 2871
 
6.2%
면 2099
 
4.5%
동 1468
 
3.2%
성 1127
 
2.4%
주 1009
 
2.2%
양 935
 
2.0%
Other values (302) 21318
45.9%
Decimal Number
ValueCountFrequency (%)
1 4
33.3%
3 4
33.3%
2 4
33.3%
Space Separator
ValueCountFrequency (%)
11435
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 46475
80.2%
Common 11447
 
19.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 4162
 
9.0%
기 4072
 
8.8%
경 4004
 
8.6%
시 3410
 
7.3%
리 2871
 
6.2%
면 2099
 
4.5%
동 1468
 
3.2%
성 1127
 
2.4%
주 1009
 
2.2%
양 935
 
2.0%
Other values (302) 21318
45.9%
Common
ValueCountFrequency (%)
11435
99.9%
1 4
 
< 0.1%
3 4
 
< 0.1%
2 4
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 46475
80.2%
ASCII 11447
 
19.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11435
99.9%
1 4
 
< 0.1%
3 4
 
< 0.1%
2 4
 
< 0.1%
Hangul
ValueCountFrequency (%)
도 4162
 
9.0%
기 4072
 
8.8%
경 4004
 
8.6%
시 3410
 
7.3%
리 2871
 
6.2%
면 2099
 
4.5%
동 1468
 
3.2%
성 1127
 
2.4%
주 1009
 
2.2%
양 935
 
2.0%
Other values (302) 21318
45.9%

지번수(개)
Real number (ℝ)

HIGH CORRELATION 

Distinct2113
Distinct (%)52.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1427.2308
Minimum0
Maximum11676
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size35.2 KiB
2023-12-16T06:03:37.851338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile249.65
Q1838
median1277.5
Q31817.75
95-th percentile2984.4
Maximum11676
Range11676
Interquartile range (IQR)979.75

Descriptive statistics

Standard deviation949.66895
Coefficient of variation (CV)0.66539267
Kurtosis14.301709
Mean1427.2308
Median Absolute Deviation (MAD)481.5
Skewness2.5275595
Sum5700360
Variance901871.11
MonotonicityNot monotonic
2023-12-16T06:03:38.646661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1425 8
 
0.2%
843 8
 
0.2%
930 7
 
0.2%
1118 7
 
0.2%
1222 7
 
0.2%
1434 7
 
0.2%
1637 7
 
0.2%
1117 7
 
0.2%
1256 7
 
0.2%
846 6
 
0.2%
Other values (2103) 3923
98.2%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 2
0.1%
2 2
0.1%
3 3
0.1%
4 2
0.1%
5 4
0.1%
6 3
0.1%
7 2
0.1%
8 2
0.1%
10 1
 
< 0.1%
ValueCountFrequency (%)
11676 1
< 0.1%
10411 1
< 0.1%
9548 1
< 0.1%
8935 1
< 0.1%
8899 1
< 0.1%
7828 1
< 0.1%
7726 1
< 0.1%
7660 1
< 0.1%
7395 1
< 0.1%
7309 1
< 0.1%

소유자수(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct2126
Distinct (%)53.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2148.5796
Minimum1
Maximum44335
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.2 KiB
2023-12-16T06:03:39.583324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile205
Q1484
median781.5
Q31559.75
95-th percentile9685.25
Maximum44335
Range44334
Interquartile range (IQR)1075.75

Descriptive statistics

Standard deviation4203.4522
Coefficient of variation (CV)1.9563865
Kurtosis26.084107
Mean2148.5796
Median Absolute Deviation (MAD)386.5
Skewness4.5364675
Sum8581427
Variance17669011
MonotonicityNot monotonic
2023-12-16T06:03:40.400565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
613 10
 
0.3%
495 10
 
0.3%
571 9
 
0.2%
396 9
 
0.2%
705 9
 
0.2%
764 8
 
0.2%
592 8
 
0.2%
510 8
 
0.2%
768 8
 
0.2%
831 8
 
0.2%
Other values (2116) 3907
97.8%
ValueCountFrequency (%)
1 2
0.1%
2 1
 
< 0.1%
3 3
0.1%
5 2
0.1%
7 2
0.1%
8 3
0.1%
9 3
0.1%
10 3
0.1%
11 1
 
< 0.1%
16 2
0.1%
ValueCountFrequency (%)
44335 1
< 0.1%
43444 1
< 0.1%
41855 1
< 0.1%
39407 1
< 0.1%
38717 1
< 0.1%
36020 1
< 0.1%
35846 1
< 0.1%
35072 1
< 0.1%
35029 1
< 0.1%
34841 1
< 0.1%

토지면적(㎡)
Real number (ℝ)

HIGH CORRELATION 

Distinct3993
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2380412.4
Minimum277.55
Maximum24931714
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.2 KiB
2023-12-16T06:03:41.016987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum277.55
5-th percentile317978.6
Q11258444.1
median2036219.2
Q32996528.7
95-th percentile5370642.1
Maximum24931714
Range24931437
Interquartile range (IQR)1738084.6

Descriptive statistics

Standard deviation1799582.3
Coefficient of variation (CV)0.75599603
Kurtosis18.694502
Mean2380412.4
Median Absolute Deviation (MAD)862192.38
Skewness2.864614
Sum9.5073671 × 109
Variance3.2384965 × 1012
MonotonicityNot monotonic
2023-12-16T06:03:42.003911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
132930.0 2
 
0.1%
11011758.09 1
 
< 0.1%
2056572.05 1
 
< 0.1%
4098900.08 1
 
< 0.1%
2745789.32 1
 
< 0.1%
750841.29 1
 
< 0.1%
1085346.25 1
 
< 0.1%
2006041.3 1
 
< 0.1%
1262813.83 1
 
< 0.1%
953395.06 1
 
< 0.1%
Other values (3983) 3983
99.7%
ValueCountFrequency (%)
277.55 1
< 0.1%
365.25 1
< 0.1%
557.27 1
< 0.1%
3106.33 1
< 0.1%
3649.03 1
< 0.1%
4045.34 1
< 0.1%
6203.29 1
< 0.1%
7305.0 1
< 0.1%
7567.0 1
< 0.1%
8992.0 1
< 0.1%
ValueCountFrequency (%)
24931714.49 1
< 0.1%
24112594.18 1
< 0.1%
18040213.07 1
< 0.1%
18010685.77 1
< 0.1%
13539731.47 1
< 0.1%
13455762.56 1
< 0.1%
12181726.83 1
< 0.1%
12027745.83 1
< 0.1%
11988582.15 1
< 0.1%
11938676.8 1
< 0.1%

Interactions

2023-12-16T06:03:29.811665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T06:03:25.608854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T06:03:28.004542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T06:03:30.627402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T06:03:26.293911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T06:03:28.636334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T06:03:31.187971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T06:03:27.274780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T06:03:29.186773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-16T06:03:42.445696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년월시군명지번수(개)소유자수(명)토지면적(㎡)
기준년월1.0000.0000.0000.0000.000
시군명0.0001.0000.5630.6190.465
지번수(개)0.0000.5631.0000.7230.484
소유자수(명)0.0000.6190.7231.0000.079
토지면적(㎡)0.0000.4650.4840.0791.000
2023-12-16T06:03:42.973753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년월시군명
기준년월1.0000.000
시군명0.0001.000
2023-12-16T06:03:43.508108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지번수(개)소유자수(명)토지면적(㎡)기준년월시군명
지번수(개)1.0000.7090.6370.0000.234
소유자수(명)0.7091.0000.2780.0000.269
토지면적(㎡)0.6370.2781.0000.0000.200
기준년월0.0000.0000.0001.0000.000
시군명0.2340.2690.2000.0001.000

Missing values

2023-12-16T06:03:32.065207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-16T06:03:32.576176image/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

기준년월시군명법정동명지번수(개)소유자수(명)토지면적(㎡)
0201712가평군경기도 가평군 가평읍 개곡리1951105211011758.09
1201712가평군경기도 가평군 가평읍 경반리14987973881524.51
2201712가평군경기도 가평군 가평읍 금대리203731814545943.78
3201712가평군경기도 가평군 가평읍 달전리203823871640496.64
4201712가평군경기도 가평군 가평읍 대곡리177518911551870.49
5201712가평군경기도 가평군 가평읍 두밀리204310535248336.1
6201712가평군경기도 가평군 가평읍 마장리22929844767634.38
7201712가평군경기도 가평군 가평읍 복장리12775802195474.0
8201712가평군경기도 가평군 가평읍 산유리228716085159854.76
9201712가평군경기도 가평군 가평읍 상색리11436743397312.01
기준년월시군명법정동명지번수(개)소유자수(명)토지면적(㎡)
3984201212화성시경기도 화성시 향남읍 요리712275959763.3
3985201212화성시경기도 화성시 향남읍 장짐리98014741186678.09
3986201212화성시경기도 화성시 향남읍 제암리7933961049822.81
3987201212화성시경기도 화성시 향남읍 증거리8774371501597.17
3988201212화성시경기도 화성시 향남읍 평리897678454007.57
3989201212화성시경기도 화성시 향남읍 하길리311418225037676.02
3990201212화성시경기도 화성시 향남읍 행정리90638501169217.03
3991201212화성시경기도 화성시 향남읍 화리현리10275471291220.88
3992201212화성시경기도 화성시 활초동14436912227072.44
3993201212화성시경기도 화성시 황계동1080396772652.58