Overview

Dataset statistics

Number of variables28
Number of observations100
Missing cells30
Missing cells (%)1.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory23.4 KiB
Average record size in memory239.3 B

Variable types

Numeric9
Text3
Categorical16

Dataset

Description샘플 데이터
Author지디에스컨설팅그룹
URLhttps://www.bigdata-environment.kr/user/data_market/detail.do?id=83927ca0-2dfe-11ea-9c1b-71bfb969ab02

Alerts

기준년도 has constant value ""Constant
대장구분코드 is highly imbalanced (56.4%)Imbalance
대장구분명 is highly imbalanced (56.4%)Imbalance
공유인수 is highly imbalanced (69.7%)Imbalance
기준월 is highly imbalanced (80.6%)Imbalance
표준지여부 is highly imbalanced (80.6%)Imbalance
소유구분코드 has 10 (10.0%) missing valuesMissing
소유권변동원인코드 has 10 (10.0%) missing valuesMissing
소유권변동일자 has 10 (10.0%) missing valuesMissing
토지정보 ID has unique valuesUnique
지번지목부호 has unique valuesUnique

Reproduction

Analysis started2023-12-10 11:09:35.582322
Analysis finished2023-12-10 11:09:36.171427
Duration0.59 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지가정보 ID
Real number (ℝ)

Distinct15
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.7
Minimum1
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:09:36.226318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median7.5
Q312
95-th percentile15
Maximum15
Range14
Interquartile range (IQR)9

Descriptive statistics

Standard deviation4.802146
Coefficient of variation (CV)0.62365532
Kurtosis-1.4802814
Mean7.7
Median Absolute Deviation (MAD)4.5
Skewness0.045178564
Sum770
Variance23.060606
MonotonicityIncreasing
2023-12-10T20:09:36.337229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
1 11
11.0%
2 9
9.0%
3 9
9.0%
12 8
 
8.0%
13 8
 
8.0%
14 8
 
8.0%
15 7
 
7.0%
4 6
 
6.0%
5 6
 
6.0%
7 6
 
6.0%
Other values (5) 22
22.0%
ValueCountFrequency (%)
1 11
11.0%
2 9
9.0%
3 9
9.0%
4 6
6.0%
5 6
6.0%
6 3
 
3.0%
7 6
6.0%
8 5
5.0%
9 3
 
3.0%
10 5
5.0%
ValueCountFrequency (%)
15 7
7.0%
14 8
8.0%
13 8
8.0%
12 8
8.0%
11 6
6.0%
10 5
5.0%
9 3
 
3.0%
8 5
5.0%
7 6
6.0%
6 3
 
3.0%

토지정보 ID
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean375274.73
Minimum763
Maximum980982
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:09:36.546443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum763
5-th percentile95392.45
Q1152004.25
median332658.5
Q3587193.25
95-th percentile801753.5
Maximum980982
Range980219
Interquartile range (IQR)435189

Descriptive statistics

Standard deviation245411.73
Coefficient of variation (CV)0.65395219
Kurtosis-0.74304118
Mean375274.73
Median Absolute Deviation (MAD)186257.5
Skewness0.52798828
Sum37527473
Variance6.0226917 × 1010
MonotonicityNot monotonic
2023-12-10T20:09:36.849203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
269741 1
 
1.0%
36080 1
 
1.0%
587197 1
 
1.0%
541757 1
 
1.0%
36428 1
 
1.0%
415823 1
 
1.0%
204302 1
 
1.0%
599552 1
 
1.0%
206251 1
 
1.0%
140405 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
763 1
1.0%
15997 1
1.0%
36080 1
1.0%
36428 1
1.0%
37888 1
1.0%
98419 1
1.0%
104662 1
1.0%
104663 1
1.0%
116248 1
1.0%
132721 1
1.0%
ValueCountFrequency (%)
980982 1
1.0%
970369 1
1.0%
911684 1
1.0%
826544 1
1.0%
823309 1
1.0%
800619 1
1.0%
784618 1
1.0%
767573 1
1.0%
742632 1
1.0%
718108 1
1.0%

법정동 코드
Real number (ℝ)

Distinct52
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.3306513 × 109
Minimum1.1590102 × 109
Maximum5.0130259 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:09:37.059555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.1590102 × 109
5-th percentile2.7140136 × 109
Q14.1131116 × 109
median4.482533 × 109
Q34.729025 × 109
95-th percentile4.874033 × 109
Maximum5.0130259 × 109
Range3.8540157 × 109
Interquartile range (IQR)6.1591343 × 108

Descriptive statistics

Standard deviation6.4051477 × 108
Coefficient of variation (CV)0.14790264
Kurtosis6.7220741
Mean4.3306513 × 109
Median Absolute Deviation (MAD)3.09501 × 108
Skewness-2.3437758
Sum4.3306513 × 1011
Variance4.1025917 × 1017
MonotonicityNot monotonic
2023-12-10T20:09:37.333107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4113111600 15
 
15.0%
4874033032 7
 
7.0%
4792034029 6
 
6.0%
4572035021 5
 
5.0%
4113110200 5
 
5.0%
2671031031 3
 
3.0%
4784032045 3
 
3.0%
4680033023 3
 
3.0%
2714013600 3
 
3.0%
4717039025 2
 
2.0%
Other values (42) 48
48.0%
ValueCountFrequency (%)
1159010200 1
 
1.0%
2671031031 3
 
3.0%
2714013600 3
 
3.0%
2811015100 1
 
1.0%
3171031021 1
 
1.0%
3611036023 1
 
1.0%
4113110100 1
 
1.0%
4113110200 5
 
5.0%
4113111600 15
15.0%
4150032026 1
 
1.0%
ValueCountFrequency (%)
5013025925 1
 
1.0%
4888034023 1
 
1.0%
4885036022 1
 
1.0%
4874033032 7
7.0%
4817044031 1
 
1.0%
4812312900 1
 
1.0%
4792034029 6
6.0%
4792032027 1
 
1.0%
4790039021 1
 
1.0%
4784039038 1
 
1.0%

법정동명
Text

Distinct52
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T20:09:37.867954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length15.55
Min length12

Characters and Unicode

Total characters1555
Distinct characters127
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)36.0%

Sample

1st row강원도 원주시 귀래면 운남리
2nd row경상북도 안동시 도산면 온혜리
3rd row경기도 성남시 수정구 신흥동
4th row경기도 성남시 수정구 금토동
5th row충청남도 예산군 삽교읍 신리
ValueCountFrequency (%)
경기도 24
 
6.1%
경상북도 23
 
5.9%
수정구 21
 
5.4%
성남시 21
 
5.4%
금토동 15
 
3.8%
경상남도 11
 
2.8%
안동시 8
 
2.0%
충청남도 8
 
2.0%
전라북도 7
 
1.8%
충청북도 7
 
1.8%
Other values (135) 247
63.0%
2023-12-10T20:09:38.499603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
293
18.8%
도 95
 
6.1%
리 71
 
4.6%
면 61
 
3.9%
경 60
 
3.9%
시 54
 
3.5%
남 53
 
3.4%
동 51
 
3.3%
군 50
 
3.2%
북 38
 
2.4%
Other values (117) 729
46.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1262
81.2%
Space Separator 293
 
18.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 95
 
7.5%
리 71
 
5.6%
면 61
 
4.8%
경 60
 
4.8%
시 54
 
4.3%
남 53
 
4.2%
동 51
 
4.0%
군 50
 
4.0%
북 38
 
3.0%
상 37
 
2.9%
Other values (116) 692
54.8%
Space Separator
ValueCountFrequency (%)
293
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1262
81.2%
Common 293
 
18.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 95
 
7.5%
리 71
 
5.6%
면 61
 
4.8%
경 60
 
4.8%
시 54
 
4.3%
남 53
 
4.2%
동 51
 
4.0%
군 50
 
4.0%
북 38
 
3.0%
상 37
 
2.9%
Other values (116) 692
54.8%
Common
ValueCountFrequency (%)
293
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1262
81.2%
ASCII 293
 
18.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
293
100.0%
Hangul
ValueCountFrequency (%)
도 95
 
7.5%
리 71
 
5.6%
면 61
 
4.8%
경 60
 
4.8%
시 54
 
4.3%
남 53
 
4.2%
동 51
 
4.0%
군 50
 
4.0%
북 38
 
3.0%
상 37
 
2.9%
Other values (116) 692
54.8%

대장구분코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1
91 
2
 
9

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 91
91.0%
2 9
 
9.0%

Length

2023-12-10T20:09:38.740882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:09:38.885551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 91
91.0%
2 9
 
9.0%

대장구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
토지대장
91 
임야대장
 
9

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
토지대장 91
91.0%
임야대장 9
 
9.0%

Length

2023-12-10T20:09:39.133541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:09:39.300771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
토지대장 91
91.0%
임야대장 9
 
9.0%

지번 명
Text

Distinct99
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T20:09:39.700538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5.5
Mean length4.42
Min length1

Characters and Unicode

Total characters442
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique98 ?
Unique (%)98.0%

Sample

1st row555-14
2nd row593
3rd row6759
4th row572
5th row65-7
ValueCountFrequency (%)
607 2
 
2.0%
626-2 1
 
1.0%
509-12 1
 
1.0%
64-86 1
 
1.0%
509-7 1
 
1.0%
661-5 1
 
1.0%
579-2 1
 
1.0%
52 1
 
1.0%
557-1 1
 
1.0%
579-1 1
 
1.0%
Other values (89) 89
89.0%
2023-12-10T20:09:40.248382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 89
20.1%
- 68
15.4%
6 64
14.5%
7 42
9.5%
1 42
9.5%
2 33
 
7.5%
3 28
 
6.3%
4 23
 
5.2%
0 19
 
4.3%
9 19
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 374
84.6%
Dash Punctuation 68
 
15.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 89
23.8%
6 64
17.1%
7 42
11.2%
1 42
11.2%
2 33
 
8.8%
3 28
 
7.5%
4 23
 
6.1%
0 19
 
5.1%
9 19
 
5.1%
8 15
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 68
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 442
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 89
20.1%
- 68
15.4%
6 64
14.5%
7 42
9.5%
1 42
9.5%
2 33
 
7.5%
3 28
 
6.3%
4 23
 
5.2%
0 19
 
4.3%
9 19
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 442
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 89
20.1%
- 68
15.4%
6 64
14.5%
7 42
9.5%
1 42
9.5%
2 33
 
7.5%
3 28
 
6.3%
4 23
 
5.2%
0 19
 
4.3%
9 19
 
4.3%

지번지목부호
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T20:09:40.643176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length5.87
Min length3

Characters and Unicode

Total characters587
Distinct characters25
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)100.0%

Sample

1st row555-14 도
2nd row593대
3rd row6759대
4th row572전
5th row65-7답
ValueCountFrequency (%)
도 9
 
6.6%
답 9
 
6.6%
대 6
 
4.4%
전 5
 
3.7%
임 4
 
2.9%
장 2
 
1.5%
615-5임 1
 
0.7%
509-7 1
 
0.7%
661-5 1
 
0.7%
579-2도 1
 
0.7%
Other values (97) 97
71.3%
2023-12-10T20:09:41.592551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 89
15.2%
- 68
11.6%
6 64
10.9%
1 42
 
7.2%
7 42
 
7.2%
36
 
6.1%
2 33
 
5.6%
3 28
 
4.8%
4 23
 
3.9%
전 22
 
3.7%
Other values (15) 140
23.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 374
63.7%
Other Letter 109
 
18.6%
Dash Punctuation 68
 
11.6%
Space Separator 36
 
6.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 22
20.2%
대 21
19.3%
답 21
19.3%
도 14
12.8%
임 12
11.0%
산 9
8.3%
장 3
 
2.8%
제 2
 
1.8%
천 1
 
0.9%
과 1
 
0.9%
Other values (3) 3
 
2.8%
Decimal Number
ValueCountFrequency (%)
5 89
23.8%
6 64
17.1%
1 42
11.2%
7 42
11.2%
2 33
 
8.8%
3 28
 
7.5%
4 23
 
6.1%
9 19
 
5.1%
0 19
 
5.1%
8 15
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 68
100.0%
Space Separator
ValueCountFrequency (%)
36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 478
81.4%
Hangul 109
 
18.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 22
20.2%
대 21
19.3%
답 21
19.3%
도 14
12.8%
임 12
11.0%
산 9
8.3%
장 3
 
2.8%
제 2
 
1.8%
천 1
 
0.9%
과 1
 
0.9%
Other values (3) 3
 
2.8%
Common
ValueCountFrequency (%)
5 89
18.6%
- 68
14.2%
6 64
13.4%
1 42
8.8%
7 42
8.8%
36
7.5%
2 33
 
6.9%
3 28
 
5.9%
4 23
 
4.8%
9 19
 
4.0%
Other values (2) 34
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 478
81.4%
Hangul 109
 
18.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 89
18.6%
- 68
14.2%
6 64
13.4%
1 42
8.8%
7 42
8.8%
36
7.5%
2 33
 
6.9%
3 28
 
5.9%
4 23
 
4.8%
9 19
 
4.0%
Other values (2) 34
 
7.1%
Hangul
ValueCountFrequency (%)
전 22
20.2%
대 21
19.3%
답 21
19.3%
도 14
12.8%
임 12
11.0%
산 9
8.3%
장 3
 
2.8%
제 2
 
1.8%
천 1
 
0.9%
과 1
 
0.9%
Other values (3) 3
 
2.8%

소유구분코드
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)7.8%
Missing10
Missing (%)10.0%
Infinite0
Infinite (%)0.0%
Mean1.9
Minimum0
Maximum7
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:09:41.791868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q32
95-th percentile5.55
Maximum7
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.6628796
Coefficient of variation (CV)0.87519979
Kurtosis1.218168
Mean1.9
Median Absolute Deviation (MAD)0
Skewness1.6317266
Sum171
Variance2.7651685
MonotonicityNot monotonic
2023-12-10T20:09:41.950999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 61
61.0%
2 11
 
11.0%
5 9
 
9.0%
6 4
 
4.0%
4 3
 
3.0%
7 1
 
1.0%
0 1
 
1.0%
(Missing) 10
 
10.0%
ValueCountFrequency (%)
0 1
 
1.0%
1 61
61.0%
2 11
 
11.0%
4 3
 
3.0%
5 9
 
9.0%
6 4
 
4.0%
7 1
 
1.0%
ValueCountFrequency (%)
7 1
 
1.0%
6 4
 
4.0%
5 9
 
9.0%
4 3
 
3.0%
2 11
 
11.0%
1 61
61.0%
0 1
 
1.0%

소유구분명
Categorical

Distinct8
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
개인
61 
국유지
11 
<NA>
10 
군유지
9 
법인
 
4
Other values (3)
 
5

Length

Max length9
Median length2
Mean length2.59
Min length2

Unique

Unique2 ?
Unique (%)2.0%

Sample

1st row군유지
2nd row개인
3rd row개인
4th row개인
5th row개인

Common Values

ValueCountFrequency (%)
개인 61
61.0%
국유지 11
 
11.0%
<NA> 10
 
10.0%
군유지 9
 
9.0%
법인 4
 
4.0%
시, 도유지 3
 
3.0%
종중 1
 
1.0%
일본인, 창씨명등 1
 
1.0%

Length

2023-12-10T20:09:42.153708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:09:42.351171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 61
58.7%
국유지 11
 
10.6%
na 10
 
9.6%
군유지 9
 
8.7%
법인 4
 
3.8%
시 3
 
2.9%
도유지 3
 
2.9%
종중 1
 
1.0%
일본인 1
 
1.0%
창씨명등 1
 
1.0%

공유인수
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1
90 
2
 
5
3
 
4
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 90
90.0%
2 5
 
5.0%
3 4
 
4.0%
4 1
 
1.0%

Length

2023-12-10T20:09:42.555852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:09:42.707143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 90
90.0%
2 5
 
5.0%
3 4
 
4.0%
4 1
 
1.0%

연령대구분코드
Categorical

Distinct11
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
ZZ
23 
07
19 
06
15 
11
11 
<NA>
10 
Other values (6)
22 

Length

Max length4
Median length2
Mean length2.2
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st rowZZ
2nd row07
3rd row01
4th row05
5th row06

Common Values

ValueCountFrequency (%)
ZZ 23
23.0%
07 19
19.0%
06 15
15.0%
11 11
11.0%
<NA> 10
10.0%
08 10
10.0%
05 3
 
3.0%
04 3
 
3.0%
09 3
 
3.0%
01 2
 
2.0%

Length

2023-12-10T20:09:42.892267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
zz 23
23.0%
07 19
19.0%
06 15
15.0%
11 11
11.0%
na 10
10.0%
08 10
10.0%
05 3
 
3.0%
04 3
 
3.0%
09 3
 
3.0%
01 2
 
2.0%

연령대구분명
Categorical

Distinct11
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
구분없음
23 
60대
19 
50대
15 
100세이상
11 
<NA>
10 
Other values (6)
22 

Length

Max length6
Median length3
Mean length3.7
Min length3

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row구분없음
2nd row60대
3rd row10세미만
4th row40대
5th row50대

Common Values

ValueCountFrequency (%)
구분없음 23
23.0%
60대 19
19.0%
50대 15
15.0%
100세이상 11
11.0%
<NA> 10
10.0%
70대 10
10.0%
40대 3
 
3.0%
30대 3
 
3.0%
80대 3
 
3.0%
10세미만 2
 
2.0%

Length

2023-12-10T20:09:43.110980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
구분없음 23
23.0%
60대 19
19.0%
50대 15
15.0%
100세이상 11
11.0%
na 10
10.0%
70대 10
10.0%
40대 3
 
3.0%
30대 3
 
3.0%
80대 3
 
3.0%
10세미만 2
 
2.0%

거주지구분코드
Categorical

Distinct9
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
ZZ
36 
03
26 
<NA>
10 
01
8 
02
8 
Other values (4)
12 

Length

Max length4
Median length2
Mean length2.2
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st rowZZ
2nd row03
3rd row11
4th row11
5th row41

Common Values

ValueCountFrequency (%)
ZZ 36
36.0%
03 26
26.0%
<NA> 10
 
10.0%
01 8
 
8.0%
02 8
 
8.0%
11 7
 
7.0%
41 2
 
2.0%
28 2
 
2.0%
27 1
 
1.0%

Length

2023-12-10T20:09:43.322821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:09:43.513779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
zz 36
36.0%
03 26
26.0%
na 10
 
10.0%
01 8
 
8.0%
02 8
 
8.0%
11 7
 
7.0%
41 2
 
2.0%
28 2
 
2.0%
27 1
 
1.0%

거주지구분명
Categorical

Distinct9
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
구분없음
36 
읍면동내
26 
<NA>
10 
시군구내
8 
시도내
8 
Other values (4)
12 

Length

Max length6
Median length4
Mean length4.16
Min length3

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row구분없음
2nd row읍면동내
3rd row관외(서울)
4th row관외(서울)
5th row관외(경기)

Common Values

ValueCountFrequency (%)
구분없음 36
36.0%
읍면동내 26
26.0%
<NA> 10
 
10.0%
시군구내 8
 
8.0%
시도내 8
 
8.0%
관외(서울) 7
 
7.0%
관외(경기) 2
 
2.0%
관외(인천) 2
 
2.0%
관외(대구) 1
 
1.0%

Length

2023-12-10T20:09:43.714355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:09:43.902832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
구분없음 36
36.0%
읍면동내 26
26.0%
na 10
 
10.0%
시군구내 8
 
8.0%
시도내 8
 
8.0%
관외(서울 7
 
7.0%
관외(경기 2
 
2.0%
관외(인천 2
 
2.0%
관외(대구 1
 
1.0%

국가기관구분코드
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
ZZ
76 
01
11 
<NA>
10 
02
 
3

Length

Max length4
Median length2
Mean length2.2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
ZZ 76
76.0%
01 11
 
11.0%
<NA> 10
 
10.0%
02 3
 
3.0%

Length

2023-12-10T20:09:44.104143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:09:44.259764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
zz 76
76.0%
01 11
 
11.0%
na 10
 
10.0%
02 3
 
3.0%

국가기관구분명
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
구분없음
76 
중앙부처
11 
<NA>
10 
지자체
 
3

Length

Max length4
Median length4
Mean length3.97
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
구분없음 76
76.0%
중앙부처 11
 
11.0%
<NA> 10
 
10.0%
지자체 3
 
3.0%

Length

2023-12-10T20:09:44.432410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:09:44.584913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
구분없음 76
76.0%
중앙부처 11
 
11.0%
na 10
 
10.0%
지자체 3
 
3.0%

소유권변동원인코드
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)8.9%
Missing10
Missing (%)10.0%
Infinite0
Infinite (%)0.0%
Mean3.5666667
Minimum1
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:09:44.744165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q33
95-th percentile7.2
Maximum18
Range17
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.1043027
Coefficient of variation (CV)0.58999141
Kurtosis26.220112
Mean3.5666667
Median Absolute Deviation (MAD)0
Skewness4.588433
Sum321
Variance4.4280899
MonotonicityNot monotonic
2023-12-10T20:09:44.903922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3 65
65.0%
4 7
 
7.0%
2 6
 
6.0%
5 6
 
6.0%
9 3
 
3.0%
10 1
 
1.0%
1 1
 
1.0%
18 1
 
1.0%
(Missing) 10
 
10.0%
ValueCountFrequency (%)
1 1
 
1.0%
2 6
 
6.0%
3 65
65.0%
4 7
 
7.0%
5 6
 
6.0%
9 3
 
3.0%
10 1
 
1.0%
18 1
 
1.0%
ValueCountFrequency (%)
18 1
 
1.0%
10 1
 
1.0%
9 3
 
3.0%
5 6
 
6.0%
4 7
 
7.0%
3 65
65.0%
2 6
 
6.0%
1 1
 
1.0%

소유권변동원인명
Categorical

Distinct9
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
소유권이전
65 
<NA>
10 
주소변경
7 
소유권보존
 
6
성명(명칭)변경
 
6
Other values (4)
 
6

Length

Max length8
Median length5
Mean length4.96
Min length2

Unique

Unique3 ?
Unique (%)3.0%

Sample

1st row소유자복구
2nd row소유권이전
3rd row소유권이전
4th row소유권이전
5th row소유권이전

Common Values

ValueCountFrequency (%)
소유권이전 65
65.0%
<NA> 10
 
10.0%
주소변경 7
 
7.0%
소유권보존 6
 
6.0%
성명(명칭)변경 6
 
6.0%
촉탁등기 3
 
3.0%
소유자복구 1
 
1.0%
사정 1
 
1.0%
등록번호경정 1
 
1.0%

Length

2023-12-10T20:09:45.108978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:09:45.309711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
소유권이전 65
65.0%
na 10
 
10.0%
주소변경 7
 
7.0%
소유권보존 6
 
6.0%
성명(명칭)변경 6
 
6.0%
촉탁등기 3
 
3.0%
소유자복구 1
 
1.0%
사정 1
 
1.0%
등록번호경정 1
 
1.0%

소유권변동일자
Real number (ℝ)

MISSING 

Distinct83
Distinct (%)92.2%
Missing10
Missing (%)10.0%
Infinite0
Infinite (%)0.0%
Mean20000638
Minimum19190809
Maximum20190925
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:09:45.510561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19190809
5-th percentile19694862
Q119921125
median20050766
Q320150328
95-th percentile20190472
Maximum20190925
Range1000116
Interquartile range (IQR)229203

Descriptive statistics

Standard deviation191961.71
Coefficient of variation (CV)0.0095977792
Kurtosis3.9533623
Mean20000638
Median Absolute Deviation (MAD)109990.5
Skewness-1.7438417
Sum1.8000574 × 109
Variance3.6849298 × 1010
MonotonicityNot monotonic
2023-12-10T20:09:45.715999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19921125 2
 
2.0%
19730627 2
 
2.0%
19840707 2
 
2.0%
20180726 2
 
2.0%
20150909 2
 
2.0%
20051013 2
 
2.0%
20190925 2
 
2.0%
20130416 1
 
1.0%
19921124 1
 
1.0%
20020723 1
 
1.0%
Other values (73) 73
73.0%
(Missing) 10
 
10.0%
ValueCountFrequency (%)
19190809 1
1.0%
19350330 1
1.0%
19440331 1
1.0%
19650406 1
1.0%
19690326 1
1.0%
19700407 1
1.0%
19730627 2
2.0%
19731022 1
1.0%
19740809 1
1.0%
19740812 1
1.0%
ValueCountFrequency (%)
20190925 2
2.0%
20190828 1
1.0%
20190702 1
1.0%
20190531 1
1.0%
20190401 1
1.0%
20181219 1
1.0%
20180726 2
2.0%
20180518 1
1.0%
20180131 1
1.0%
20171215 1
1.0%

지목코드
Real number (ℝ)

Distinct12
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.21
Minimum1
Maximum27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:09:45.899606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median5
Q38
95-th percentile15.05
Maximum27
Range26
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.4203041
Coefficient of variation (CV)0.87283481
Kurtosis0.8760746
Mean6.21
Median Absolute Deviation (MAD)3
Skewness1.0632699
Sum621
Variance29.379697
MonotonicityNot monotonic
2023-12-10T20:09:46.078463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 22
22.0%
2 22
22.0%
8 20
20.0%
14 14
14.0%
5 12
12.0%
9 3
 
3.0%
16 2
 
2.0%
17 1
 
1.0%
3 1
 
1.0%
27 1
 
1.0%
Other values (2) 2
 
2.0%
ValueCountFrequency (%)
1 22
22.0%
2 22
22.0%
3 1
 
1.0%
5 12
12.0%
8 20
20.0%
9 3
 
3.0%
14 14
14.0%
15 1
 
1.0%
16 2
 
2.0%
17 1
 
1.0%
ValueCountFrequency (%)
27 1
 
1.0%
18 1
 
1.0%
17 1
 
1.0%
16 2
 
2.0%
15 1
 
1.0%
14 14
14.0%
9 3
 
3.0%
8 20
20.0%
5 12
12.0%
3 1
 
1.0%

지목명
Categorical

Distinct12
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
전
22 
답
22 
대
20 
도로
14 
임야
12 
Other values (7)
10 

Length

Max length4
Median length1
Mean length1.45
Min length1

Unique

Unique5 ?
Unique (%)5.0%

Sample

1st row도로
2nd row대
3rd row대
4th row전
5th row답

Common Values

ValueCountFrequency (%)
전 22
22.0%
답 22
22.0%
대 20
20.0%
도로 14
14.0%
임야 12
12.0%
공장용지 3
 
3.0%
제방 2
 
2.0%
하천 1
 
1.0%
과수원 1
 
1.0%
묘지 1
 
1.0%
Other values (2) 2
 
2.0%

Length

2023-12-10T20:09:46.263688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전 22
22.0%
답 22
22.0%
대 20
20.0%
도로 14
14.0%
임야 12
12.0%
공장용지 3
 
3.0%
제방 2
 
2.0%
하천 1
 
1.0%
과수원 1
 
1.0%
묘지 1
 
1.0%
Other values (2) 2
 
2.0%

라벨
Categorical

Distinct6
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
개인
61 
국유지
23 
공유지
10 
법인
 
4
비법인
 
1

Length

Max length3
Median length2
Mean length2.34
Min length2

Unique

Unique2 ?
Unique (%)2.0%

Sample

1st row국유지
2nd row개인
3rd row개인
4th row개인
5th row개인

Common Values

ValueCountFrequency (%)
개인 61
61.0%
국유지 23
 
23.0%
공유지 10
 
10.0%
법인 4
 
4.0%
비법인 1
 
1.0%
기타 1
 
1.0%

Length

2023-12-10T20:09:46.457705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:09:46.608099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 61
61.0%
국유지 23
 
23.0%
공유지 10
 
10.0%
법인 4
 
4.0%
비법인 1
 
1.0%
기타 1
 
1.0%

토지면적
Real number (ℝ)

Distinct96
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2326.1768
Minimum7
Maximum77554
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:09:46.778970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile32.5
Q1163.25
median571.5
Q31645.325
95-th percentile6747.15
Maximum77554
Range77547
Interquartile range (IQR)1482.075

Descriptive statistics

Standard deviation8195.1946
Coefficient of variation (CV)3.5230317
Kurtosis73.608331
Mean2326.1768
Median Absolute Deviation (MAD)510.5
Skewness8.1760617
Sum232617.68
Variance67161215
MonotonicityNot monotonic
2023-12-10T20:09:47.079115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
58.0 2
 
2.0%
64.5 2
 
2.0%
33.0 2
 
2.0%
417.0 2
 
2.0%
990.0 1
 
1.0%
503.0 1
 
1.0%
38.0 1
 
1.0%
298.0 1
 
1.0%
3134.0 1
 
1.0%
1408.0 1
 
1.0%
Other values (86) 86
86.0%
ValueCountFrequency (%)
7.0 1
1.0%
8.0 1
1.0%
10.0 1
1.0%
20.0 1
1.0%
23.0 1
1.0%
33.0 2
2.0%
38.0 1
1.0%
42.0 1
1.0%
47.0 1
1.0%
58.0 2
2.0%
ValueCountFrequency (%)
77554.0 1
1.0%
23007.99 1
1.0%
13939.0 1
1.0%
11345.0 1
1.0%
6807.0 1
1.0%
6744.0 1
1.0%
6085.0 1
1.0%
4802.0 1
1.0%
4689.0 1
1.0%
4548.0 1
1.0%

기준년도
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2019
100 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019
2nd row2019
3rd row2019
4th row2019
5th row2019

Common Values

ValueCountFrequency (%)
2019 100
100.0%

Length

2023-12-10T20:09:47.337927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:09:47.500674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019 100
100.0%

기준월
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1
97 
7
 
3

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 97
97.0%
7 3
 
3.0%

Length

2023-12-10T20:09:47.645918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:09:47.819652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 97
97.0%
7 3
 
3.0%

개별공시지가
Real number (ℝ)

Distinct79
Distinct (%)79.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean277789.65
Minimum432
Maximum2570000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:09:48.050625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum432
5-th percentile816.55
Q110675
median28800
Q3190800
95-th percentile2358500
Maximum2570000
Range2569568
Interquartile range (IQR)180125

Descriptive statistics

Standard deviation637086.31
Coefficient of variation (CV)2.2934127
Kurtosis7.2729564
Mean277789.65
Median Absolute Deviation (MAD)26685
Skewness2.898824
Sum27778965
Variance4.0587897 × 1011
MonotonicityNot monotonic
2023-12-10T20:09:48.282717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
190800 4
 
4.0%
2520000 3
 
3.0%
28800 3
 
3.0%
4780 3
 
3.0%
21500 3
 
3.0%
274400 3
 
3.0%
770 2
 
2.0%
2570000 2
 
2.0%
566800 2
 
2.0%
94300 2
 
2.0%
Other values (69) 73
73.0%
ValueCountFrequency (%)
432 1
1.0%
557 1
1.0%
730 1
1.0%
770 2
2.0%
819 1
1.0%
957 1
1.0%
1190 1
1.0%
1220 1
1.0%
1910 2
2.0%
2320 1
1.0%
ValueCountFrequency (%)
2570000 2
2.0%
2520000 3
3.0%
2350000 1
 
1.0%
1707000 1
 
1.0%
1560000 1
 
1.0%
1524000 1
 
1.0%
653400 1
 
1.0%
601500 1
 
1.0%
566800 2
2.0%
400600 1
 
1.0%

표준지여부
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
97 
1
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 97
97.0%
1 3
 
3.0%

Length

2023-12-10T20:09:48.496962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:09:48.667707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 97
97.0%
1 3
 
3.0%

Sample

지가정보 ID토지정보 ID법정동 코드법정동명대장구분코드대장구분명지번 명지번지목부호소유구분코드소유구분명공유인수연령대구분코드연령대구분명거주지구분코드거주지구분명국가기관구분코드국가기관구분명소유권변동원인코드소유권변동원인명소유권변동일자지목코드지목명라벨토지면적기준년도기준월개별공시지가표준지여부
012697414213036021강원도 원주시 귀래면 운남리1토지대장555-14555-14 도5군유지1ZZ구분없음ZZ구분없음ZZ구분없음10소유자복구1974080914도로국유지299.020191564000
116204404717042028경상북도 안동시 도산면 온혜리1토지대장593593대1개인10760대03읍면동내ZZ구분없음3소유권이전201210048대개인291.020191211000
211625924113110100경기도 성남시 수정구 신흥동1토지대장67596759대1개인10110세미만11관외(서울)ZZ구분없음3소유권이전201503318대개인64.52019123500000
311403244113111600경기도 성남시 수정구 금토동1토지대장572572전1개인10540대11관외(서울)ZZ구분없음3소유권이전201606101전개인198.0201911908000
412244584481025327충청남도 예산군 삽교읍 신리1토지대장65-765-7답1개인10650대41관외(경기)ZZ구분없음3소유권이전201109092답개인2969.020191465001
514985694573032021전라북도 무주군 설천면 기곡리2임야대장65산65임1개인111100세이상ZZ구분없음ZZ구분없음2소유권보존197004075임야개인6744.0201918190
619116844790039021경상북도 예천군 개포면 금리2임야대장52-1산52-1 임1개인10430대28관외(인천)ZZ구분없음3소유권이전200912155임야개인13939.02019112200
713641414680033023전라남도 장흥군 장동면 배산리1토지대장577-15577-15제2국유지1ZZ구분없음ZZ구분없음01중앙부처9촉탁등기1992122216제방국유지2308.02019128300
81378884427032026충청남도 당진시 석문면 난지도리1토지대장578-3578-3 답1개인10760대28관외(인천)ZZ구분없음9촉탁등기200211052답개인518.520191155000
911343592714013600대구광역시 동구 미곡동1토지대장596-1596-1 답1개인10760대01시군구내ZZ구분없음4주소변경199003272답개인1405.020191943000
지가정보 ID토지정보 ID법정동 코드법정동명대장구분코드대장구분명지번 명지번지목부호소유구분코드소유구분명공유인수연령대구분코드연령대구분명거주지구분코드거주지구분명국가기관구분코드국가기관구분명소유권변동원인코드소유권변동원인명소유권변동일자지목코드지목명라벨토지면적기준년도기준월개별공시지가표준지여부
90145164944717039025경상북도 안동시 길안면 송사리1토지대장60-1260-12 대1개인10870대03읍면동내ZZ구분없음3소유권이전200308288대개인404.020191300000
91146671892671031031부산광역시 기장군 일광면 화전리1토지대장526-7526-7대1개인10650대02시도내ZZ구분없음3소유권이전201807268대개인181.0201915668000
92141520174113110200경기도 성남시 수정구 태평동1토지대장62786278대1개인10650대03읍면동내ZZ구분없음3소유권이전201406258대개인59.22019125700000
93153011764482533025충청남도 태안군 근흥면 용신리2임야대장51-2산51-2임1개인10760대01시군구내ZZ구분없음3소유권이전200210315임야개인1876.020191131000
94151519694113110200경기도 성남시 수정구 태평동1토지대장62796279대1개인10870대03읍면동내ZZ구분없음4주소변경201311278대개인92.62019125700000
95154275774423040022충청남도 논산시 가야곡면 강청리1토지대장612-4612-4 전1개인10650대03읍면동내ZZ구분없음3소유권이전200201101전개인1785.020191156000
96151572094113111600경기도 성남시 수정구 금토동1토지대장580-3580-3전1개인111100세이상ZZ구분없음ZZ구분없음3소유권이전198407071전개인1428.0201912606000
97155871924784032045경상북도 성주군 용암면 용계리1토지대장542-2542-2답1개인10650대11관외(서울)ZZ구분없음3소유권이전201301152답개인1957.020191215000
98154712904680035030전라남도 장흥군 유치면 관동리1토지대장634-9634-9 답6법인111100세이상ZZ구분없음ZZ구분없음3소유권이전201111082답법인2114.820191107000
99156675772671031031부산광역시 기장군 일광면 화전리1토지대장526-9526-9대1개인10650대02시도내ZZ구분없음3소유권이전201807268대개인20.0201915668000