Overview

Dataset statistics

Number of variables21
Number of observations28
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.2 KiB
Average record size in memory191.7 B

Variable types

Categorical1
Text1
Numeric19

Dataset

Description- 2022년 중 양도소득세 결정분 또는 경정분을 기준으로 작성 (과세미달 제외, 양도차익은 비과세 양도차익 제외, 과세표준은 양도차손을 반영하여 작성)- 부동산 소재지별 현황은 토지, 건물 등 부동산에 한하여 통계를 작성- 양도가액 규모별 현황은 전체 자산에 대하여 통계를 작성(단위: 건, 백만원)
Author국세청
URLhttps://www.data.go.kr/data/15118234/fileData.do

Alerts

구분2 has unique valuesUnique
자산건수 has unique valuesUnique
신고(당초) 양도가액 has unique valuesUnique
결정(경정) 양도가액 has unique valuesUnique
양도가액 증감액 has unique valuesUnique
신고(당초) 취득가액 has unique valuesUnique
결정(경정) 취득가액 has unique valuesUnique
취득가액 증감액 has unique valuesUnique
신고(당초) 필요경비 has unique valuesUnique
결정(경정) 필요경비 has unique valuesUnique
필요경비 증감액 has unique valuesUnique
신고(당초) 양도차익 has unique valuesUnique
결정(경정) 양도차익 has unique valuesUnique
양도차익 증감액 has unique valuesUnique
신고(당초) 장기보유 특별공제 has unique valuesUnique
결정(경정) 장기보유 특별공제 has unique valuesUnique
장기보유 특별공제 증감액 has unique valuesUnique
신고(당초) 양도소득 has unique valuesUnique
결정(경정) 양도소득 has unique valuesUnique
양도소득 증감액 has unique valuesUnique
신고(당초) 장기보유 특별공제 has 1 (3.6%) zerosZeros
결정(경정) 장기보유 특별공제 has 1 (3.6%) zerosZeros
장기보유 특별공제 증감액 has 1 (3.6%) zerosZeros

Reproduction

Analysis started2023-12-12 17:24:21.525580
Analysis finished2023-12-12 17:24:21.762146
Duration0.24 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분1
Categorical

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
부동산 소재지별
18 
양도가액 규모별
10 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row부동산 소재지별
2nd row부동산 소재지별
3rd row부동산 소재지별
4th row부동산 소재지별
5th row부동산 소재지별

Common Values

ValueCountFrequency (%)
부동산 소재지별 18
64.3%
양도가액 규모별 10
35.7%

Length

2023-12-13T02:24:21.835801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:24:21.938393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부동산 18
32.1%
소재지별 18
32.1%
양도가액 10
17.9%
규모별 10
17.9%

구분2
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-13T02:24:22.102589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length2
Mean length3.2857143
Min length2

Characters and Unicode

Total characters92
Distinct characters35
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

Unique28 ?
Unique (%)100.0%

Sample

1st row서울
2nd row인천
3rd row경기
4th row강원
5th row대전
ValueCountFrequency (%)
이하 9
23.7%
50억 2
 
5.3%
서울 1
 
2.6%
경남 1
 
2.6%
30억 1
 
2.6%
20억 1
 
2.6%
10억 1
 
2.6%
5억 1
 
2.6%
3억 1
 
2.6%
2억 1
 
2.6%
Other values (19) 19
50.0%
2023-12-13T02:24:22.494559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10
 
10.9%
이 9
 
9.8%
하 9
 
9.8%
억 9
 
9.8%
0 5
 
5.4%
5 4
 
4.3%
남 3
 
3.3%
북 3
 
3.3%
경 3
 
3.3%
전 3
 
3.3%
Other values (25) 34
37.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 67
72.8%
Decimal Number 15
 
16.3%
Space Separator 10
 
10.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 9
13.4%
하 9
13.4%
억 9
13.4%
남 3
 
4.5%
북 3
 
4.5%
경 3
 
4.5%
전 3
 
4.5%
대 2
 
3.0%
산 2
 
3.0%
충 2
 
3.0%
Other values (19) 22
32.8%
Decimal Number
ValueCountFrequency (%)
0 5
33.3%
5 4
26.7%
2 2
 
13.3%
3 2
 
13.3%
1 2
 
13.3%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 67
72.8%
Common 25
 
27.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 9
13.4%
하 9
13.4%
억 9
13.4%
남 3
 
4.5%
북 3
 
4.5%
경 3
 
4.5%
전 3
 
4.5%
대 2
 
3.0%
산 2
 
3.0%
충 2
 
3.0%
Other values (19) 22
32.8%
Common
ValueCountFrequency (%)
10
40.0%
0 5
20.0%
5 4
 
16.0%
2 2
 
8.0%
3 2
 
8.0%
1 2
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 67
72.8%
ASCII 25
 
27.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10
40.0%
0 5
20.0%
5 4
 
16.0%
2 2
 
8.0%
3 2
 
8.0%
1 2
 
8.0%
Hangul
ValueCountFrequency (%)
이 9
13.4%
하 9
13.4%
억 9
13.4%
남 3
 
4.5%
북 3
 
4.5%
경 3
 
4.5%
전 3
 
4.5%
대 2
 
3.0%
산 2
 
3.0%
충 2
 
3.0%
Other values (19) 22
32.8%

자산건수
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10427.25
Minimum34
Maximum57992
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-13T02:24:22.668451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34
5-th percentile1204.05
Q12766.75
median6576.5
Q313823
95-th percentile28860.7
Maximum57992
Range57958
Interquartile range (IQR)11056.25

Descriptive statistics

Standard deviation12185.427
Coefficient of variation (CV)1.1686137
Kurtosis8.0395641
Mean10427.25
Median Absolute Deviation (MAD)4239.5
Skewness2.5575895
Sum291963
Variance1.4848463 × 108
MonotonicityNot monotonic
2023-12-13T02:24:22.867400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
15308 1
 
3.6%
9138 1
 
3.6%
1987 1
 
3.6%
1492 1
 
3.6%
2094 1
 
3.6%
7383 1
 
3.6%
13442 1
 
3.6%
15036 1
 
3.6%
14966 1
 
3.6%
26080 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
34 1
3.6%
1049 1
3.6%
1492 1
3.6%
1987 1
3.6%
2024 1
3.6%
2094 1
3.6%
2580 1
3.6%
2829 1
3.6%
2881 1
3.6%
4402 1
3.6%
ValueCountFrequency (%)
57992 1
3.6%
30358 1
3.6%
26080 1
3.6%
24690 1
3.6%
15308 1
3.6%
15036 1
3.6%
14966 1
3.6%
13442 1
3.6%
9628 1
3.6%
9138 1
3.6%

신고(당초) 양도가액
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3889544.6
Minimum40899
Maximum47283514
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-13T02:24:23.024101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum40899
5-th percentile285858.15
Q1544103.5
median1036806.5
Q33834436.5
95-th percentile9069870.9
Maximum47283514
Range47242615
Interquartile range (IQR)3290333

Descriptive statistics

Standard deviation8906830.1
Coefficient of variation (CV)2.2899416
Kurtosis22.730037
Mean3889544.6
Median Absolute Deviation (MAD)560149
Skewness4.597466
Sum1.0890725 × 108
Variance7.9331623 × 1013
MonotonicityNot monotonic
2023-12-13T02:24:23.207855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
9783326 1
 
3.6%
1010675 1
 
3.6%
47283514 1
 
3.6%
4347435 1
 
3.6%
3907452 1
 
3.6%
7688290 1
 
3.6%
6546936 1
 
3.6%
3810098 1
 
3.6%
2385073 1
 
3.6%
2415540 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
40899 1
3.6%
199685 1
3.6%
445894 1
3.6%
458899 1
3.6%
494416 1
3.6%
496298 1
3.6%
513586 1
3.6%
554276 1
3.6%
618187 1
3.6%
644440 1
3.6%
ValueCountFrequency (%)
47283514 1
3.6%
9783326 1
3.6%
7744883 1
3.6%
7688290 1
3.6%
6546936 1
3.6%
4347435 1
3.6%
3907452 1
3.6%
3810098 1
3.6%
2415540 1
3.6%
2385073 1
3.6%

결정(경정) 양도가액
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5343472.4
Minimum54730
Maximum78444230
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-13T02:24:23.360235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum54730
5-th percentile340452.85
Q1688923.75
median1296110
Q34282805
95-th percentile9954381.3
Maximum78444230
Range78389500
Interquartile range (IQR)3593881.2

Descriptive statistics

Standard deviation14621433
Coefficient of variation (CV)2.7363167
Kurtosis25.551303
Mean5343472.4
Median Absolute Deviation (MAD)669869.5
Skewness4.9660394
Sum1.4961723 × 108
Variance2.1378629 × 1014
MonotonicityNot monotonic
2023-12-13T02:24:23.574407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
10495993 1
 
3.6%
1269210 1
 
3.6%
78444230 1
 
3.6%
4644914 1
 
3.6%
4162102 1
 
3.6%
8367734 1
 
3.6%
7745139 1
 
3.6%
4785226 1
 
3.6%
3043339 1
 
3.6%
3104313 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
54730 1
3.6%
246873 1
3.6%
514244 1
3.6%
617646 1
3.6%
634835 1
3.6%
666295 1
3.6%
669108 1
3.6%
695529 1
3.6%
760202 1
3.6%
798872 1
3.6%
ValueCountFrequency (%)
78444230 1
3.6%
10495993 1
3.6%
8948531 1
3.6%
8367734 1
3.6%
7745139 1
3.6%
4785226 1
3.6%
4644914 1
3.6%
4162102 1
3.6%
3104313 1
3.6%
3043339 1
3.6%

양도가액 증감액
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1453928
Minimum13831
Maximum31160716
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-13T02:24:23.773938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13831
5-th percentile50043.6
Q1136848.25
median238670.5
Q3663561.5
95-th percentile1201742.9
Maximum31160716
Range31146885
Interquartile range (IQR)526713.25

Descriptive statistics

Standard deviation5831736.5
Coefficient of variation (CV)4.0110215
Kurtosis27.791399
Mean1453928
Median Absolute Deviation (MAD)121987
Skewness5.2632429
Sum40709984
Variance3.400915 × 1013
MonotonicityNot monotonic
2023-12-13T02:24:23.919386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
712666 1
 
3.6%
258534 1
 
3.6%
31160716 1
 
3.6%
297479 1
 
3.6%
254651 1
 
3.6%
679445 1
 
3.6%
1198203 1
 
3.6%
975129 1
 
3.6%
658267 1
 
3.6%
688774 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
13831 1
3.6%
47189 1
3.6%
55345 1
3.6%
101986 1
3.6%
102282 1
3.6%
112019 1
3.6%
121348 1
3.6%
142015 1
3.6%
154432 1
3.6%
156382 1
3.6%
ValueCountFrequency (%)
31160716 1
3.6%
1203649 1
3.6%
1198203 1
3.6%
975129 1
3.6%
712666 1
3.6%
688774 1
3.6%
679445 1
3.6%
658267 1
3.6%
327889 1
3.6%
297479 1
3.6%

신고(당초) 취득가액
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2506961.5
Minimum27781
Maximum41279674
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-13T02:24:24.085831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum27781
5-th percentile105486.8
Q1232168.5
median462733.5
Q32026960.2
95-th percentile3745295.3
Maximum41279674
Range41251893
Interquartile range (IQR)1794791.8

Descriptive statistics

Standard deviation7690722.3
Coefficient of variation (CV)3.0677465
Kurtosis26.530413
Mean2506961.5
Median Absolute Deviation (MAD)272406
Skewness5.094228
Sum70194922
Variance5.9147209 × 1013
MonotonicityNot monotonic
2023-12-13T02:24:24.255487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
3746626 1
 
3.6%
432779 1
 
3.6%
41279674 1
 
3.6%
2306843 1
 
3.6%
1980195 1
 
3.6%
3742824 1
 
3.6%
3416618 1
 
3.6%
2167256 1
 
3.6%
1395150 1
 
3.6%
1424472 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
27781 1
3.6%
62567 1
3.6%
185195 1
3.6%
186792 1
3.6%
193863 1
3.6%
207035 1
3.6%
221304 1
3.6%
235790 1
3.6%
264013 1
3.6%
278603 1
3.6%
ValueCountFrequency (%)
41279674 1
3.6%
3746626 1
3.6%
3742824 1
3.6%
3416618 1
3.6%
2984324 1
3.6%
2306843 1
3.6%
2167256 1
3.6%
1980195 1
3.6%
1424472 1
3.6%
1395150 1
3.6%

결정(경정) 취득가액
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3792191
Minimum35279
Maximum72207428
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-13T02:24:24.405293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35279
5-th percentile129974.7
Q1325230
median600389
Q32212685
95-th percentile4045472.1
Maximum72207428
Range72172149
Interquartile range (IQR)1887455

Descriptive statistics

Standard deviation13474124
Coefficient of variation (CV)3.5531237
Kurtosis27.391906
Mean3792191
Median Absolute Deviation (MAD)351598.5
Skewness5.2093353
Sum1.0618135 × 108
Variance1.8155201 × 1014
MonotonicityNot monotonic
2023-12-13T02:24:24.533019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
4049284 1
 
3.6%
575039 1
 
3.6%
72207428 1
 
3.6%
2532380 1
 
3.6%
2106120 1
 
3.6%
4038393 1
 
3.6%
4029405 1
 
3.6%
2787471 1
 
3.6%
1825883 1
 
3.6%
1830239 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
35279 1
3.6%
81625 1
3.6%
219767 1
3.6%
221357 1
3.6%
276224 1
3.6%
285550 1
3.6%
296088 1
3.6%
334944 1
3.6%
344877 1
3.6%
355014 1
3.6%
ValueCountFrequency (%)
72207428 1
3.6%
4049284 1
3.6%
4038393 1
3.6%
4029405 1
3.6%
3572108 1
3.6%
2787471 1
3.6%
2532380 1
3.6%
2106120 1
3.6%
1830239 1
3.6%
1825883 1
3.6%

취득가액 증감액
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1285229.6
Minimum7499
Maximum30927753
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-13T02:24:24.685346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7499
5-th percentile23842.8
Q163435.5
median122581
Q3297341.5
95-th percentile617615.2
Maximum30927753
Range30920254
Interquartile range (IQR)233906

Descriptive statistics

Standard deviation5812290.1
Coefficient of variation (CV)4.5223747
Kurtosis27.93765
Mean1285229.6
Median Absolute Deviation (MAD)86735
Skewness5.2830165
Sum35986430
Variance3.3782716 × 1013
MonotonicityNot monotonic
2023-12-13T02:24:24.852365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
302659 1
 
3.6%
142260 1
 
3.6%
30927753 1
 
3.6%
225538 1
 
3.6%
125925 1
 
3.6%
295569 1
 
3.6%
612787 1
 
3.6%
620215 1
 
3.6%
430733 1
 
3.6%
405767 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
7499 1
3.6%
19059 1
3.6%
32727 1
3.6%
32975 1
3.6%
35530 1
3.6%
36162 1
3.6%
54920 1
3.6%
66274 1
3.6%
82021 1
3.6%
89053 1
3.6%
ValueCountFrequency (%)
30927753 1
3.6%
620215 1
3.6%
612787 1
3.6%
587785 1
3.6%
430733 1
3.6%
405767 1
3.6%
302659 1
3.6%
295569 1
3.6%
225538 1
3.6%
166499 1
3.6%

신고(당초) 필요경비
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40490.393
Minimum1385
Maximum173027
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-13T02:24:24.976624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1385
5-th percentile4324.6
Q18790.25
median20658.5
Q352554.25
95-th percentile141795
Maximum173027
Range171642
Interquartile range (IQR)43764

Descriptive statistics

Standard deviation47267.922
Coefficient of variation (CV)1.1673861
Kurtosis1.8785382
Mean40490.393
Median Absolute Deviation (MAD)13675
Skewness1.6675951
Sum1133731
Variance2.2342565 × 109
MonotonicityNot monotonic
2023-12-13T02:24:25.423992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
122815 1
 
3.6%
22955 1
 
3.6%
152015 1
 
3.6%
57256 1
 
3.6%
52310 1
 
3.6%
117461 1
 
3.6%
91168 1
 
3.6%
53287 1
 
3.6%
34021 1
 
3.6%
34995 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
1385 1
3.6%
3612 1
3.6%
5648 1
3.6%
6706 1
3.6%
7261 1
3.6%
7382 1
3.6%
8494 1
3.6%
8889 1
3.6%
9186 1
3.6%
11496 1
3.6%
ValueCountFrequency (%)
173027 1
3.6%
152015 1
3.6%
122815 1
3.6%
117461 1
3.6%
91168 1
3.6%
57256 1
3.6%
53287 1
3.6%
52310 1
3.6%
35354 1
3.6%
34995 1
3.6%

결정(경정) 필요경비
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43360.821
Minimum2677
Maximum190339
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-13T02:24:25.593965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2677
5-th percentile5068.1
Q19535.75
median21305
Q354480.75
95-th percentile155623.5
Maximum190339
Range187662
Interquartile range (IQR)44945

Descriptive statistics

Standard deviation50775.396
Coefficient of variation (CV)1.1709971
Kurtosis2.5091595
Mean43360.821
Median Absolute Deviation (MAD)12939.5
Skewness1.7895809
Sum1214103
Variance2.5781409 × 109
MonotonicityNot monotonic
2023-12-13T02:24:25.774794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
122532 1
 
3.6%
26671 1
 
3.6%
190339 1
 
3.6%
60063 1
 
3.6%
52620 1
 
3.6%
113148 1
 
3.6%
99385 1
 
3.6%
60968 1
 
3.6%
39583 1
 
3.6%
41625 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
2677 1
3.6%
3869 1
3.6%
7295 1
3.6%
7626 1
3.6%
9105 1
3.6%
9344 1
3.6%
9412 1
3.6%
9577 1
3.6%
10193 1
3.6%
14103 1
3.6%
ValueCountFrequency (%)
190339 1
3.6%
173442 1
3.6%
122532 1
3.6%
113148 1
3.6%
99385 1
3.6%
60968 1
3.6%
60063 1
3.6%
52620 1
3.6%
41625 1
3.6%
39583 1
3.6%

필요경비 증감액
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2870.3571
Minimum-5632
Maximum38324
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)17.9%
Memory size384.0 B
2023-12-13T02:24:25.941715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-5632
5-th percentile-3979.75
Q1253.75
median1402
Q33493
95-th percentile8029.4
Maximum38324
Range43956
Interquartile range (IQR)3239.25

Descriptive statistics

Standard deviation7659.7777
Coefficient of variation (CV)2.66858
Kurtosis18.033013
Mean2870.3571
Median Absolute Deviation (MAD)1545
Skewness3.8505674
Sum80370
Variance58672195
MonotonicityNot monotonic
2023-12-13T02:24:26.073181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
-283 1
 
3.6%
3715 1
 
3.6%
38324 1
 
3.6%
2807 1
 
3.6%
310 1
 
3.6%
-4314 1
 
3.6%
8217 1
 
3.6%
7681 1
 
3.6%
5562 1
 
3.6%
6630 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
-5632 1
3.6%
-4314 1
3.6%
-3359 1
3.6%
-2227 1
3.6%
-283 1
3.6%
31 1
3.6%
244 1
3.6%
257 1
3.6%
310 1
3.6%
415 1
3.6%
ValueCountFrequency (%)
38324 1
3.6%
8217 1
3.6%
7681 1
3.6%
6630 1
3.6%
5562 1
3.6%
3750 1
3.6%
3715 1
3.6%
3419 1
3.6%
3275 1
3.6%
2807 1
3.6%

신고(당초) 양도차익
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1257237.9
Minimum11713
Maximum5836806
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-13T02:24:26.228203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11713
5-th percentile166119.35
Q1311145.25
median519352.5
Q31598811.5
95-th percentile4857295.4
Maximum5836806
Range5825093
Interquartile range (IQR)1287666.2

Descriptive statistics

Standard deviation1575697.8
Coefficient of variation (CV)1.2533013
Kurtosis2.5568699
Mean1257237.9
Median Absolute Deviation (MAD)275677
Skewness1.8429916
Sum35202660
Variance2.4828235 × 1012
MonotonicityNot monotonic
2023-12-13T02:24:26.414311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
5121683 1
 
3.6%
551048 1
 
3.6%
5836806 1
 
3.6%
1928937 1
 
3.6%
1740440 1
 
3.6%
3179599 1
 
3.6%
2756177 1
 
3.6%
1551602 1
 
3.6%
946731 1
 
3.6%
948718 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
11713 1
3.6%
127822 1
3.6%
237243 1
3.6%
250108 1
3.6%
255946 1
3.6%
261928 1
3.6%
295768 1
3.6%
316271 1
3.6%
357591 1
3.6%
357959 1
3.6%
ValueCountFrequency (%)
5836806 1
3.6%
5121683 1
3.6%
4366290 1
3.6%
3179599 1
3.6%
2756177 1
3.6%
1928937 1
3.6%
1740440 1
3.6%
1551602 1
3.6%
948718 1
3.6%
946731 1
3.6%

결정(경정) 양도차익
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1422805.2
Minimum16754
Maximum6021788
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-13T02:24:26.564872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16754
5-th percentile197512.45
Q1388673
median647732.5
Q31880801.5
95-th percentile5332846.4
Maximum6021788
Range6005034
Interquartile range (IQR)1492128.5

Descriptive statistics

Standard deviation1691830.1
Coefficient of variation (CV)1.1890806
Kurtosis1.9713016
Mean1422805.2
Median Absolute Deviation (MAD)322235
Skewness1.7279084
Sum39838546
Variance2.862289 × 1012
MonotonicityNot monotonic
2023-12-13T02:24:26.728592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
5525793 1
 
3.6%
664966 1
 
3.6%
6021788 1
 
3.6%
2003057 1
 
3.6%
1877331 1
 
3.6%
3583989 1
 
3.6%
3310054 1
 
3.6%
1891213 1
 
3.6%
1167195 1
 
3.6%
1227265 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
16754 1
3.6%
155720 1
3.6%
275127 1
3.6%
324359 1
3.6%
326636 1
3.6%
331850 1
3.6%
388055 1
3.6%
388879 1
3.6%
426433 1
3.6%
428045 1
3.6%
ValueCountFrequency (%)
6021788 1
3.6%
5525793 1
3.6%
4974517 1
3.6%
3583989 1
3.6%
3310054 1
3.6%
2003057 1
3.6%
1891213 1
3.6%
1877331 1
3.6%
1227265 1
3.6%
1167195 1
3.6%

양도차익 증감액
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean165567.29
Minimum5041
Maximum608227
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-13T02:24:26.888789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5041
5-th percentile22231.6
Q173742
median100916.5
Q3193852.25
95-th percentile501556.55
Maximum608227
Range603186
Interquartile range (IQR)120110.25

Descriptive statistics

Standard deviation157936.21
Coefficient of variation (CV)0.95390953
Kurtosis1.9124841
Mean165567.29
Median Absolute Deviation (MAD)36091.5
Skewness1.6284594
Sum4635884
Variance2.4943847 × 1010
MonotonicityNot monotonic
2023-12-13T02:24:27.055658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
404110 1
 
3.6%
113918 1
 
3.6%
184982 1
 
3.6%
74120 1
 
3.6%
136891 1
 
3.6%
404390 1
 
3.6%
553877 1
 
3.6%
339611 1
 
3.6%
220463 1
 
3.6%
278547 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
5041 1
3.6%
19181 1
3.6%
27897 1
3.6%
63238 1
3.6%
64708 1
3.6%
68842 1
3.6%
72608 1
3.6%
74120 1
3.6%
74251 1
3.6%
76034 1
3.6%
ValueCountFrequency (%)
608227 1
3.6%
553877 1
3.6%
404390 1
3.6%
404110 1
3.6%
339611 1
3.6%
278547 1
3.6%
220463 1
3.6%
184982 1
3.6%
159054 1
3.6%
136891 1
3.6%

신고(당초) 장기보유 특별공제
Real number (ℝ)

UNIQUE  ZEROS 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean290742.07
Minimum0
Maximum1569925
Zeros1
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-13T02:24:27.198785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile34876.95
Q165066.25
median127052
Q3338772.75
95-th percentile1030781
Maximum1569925
Range1569925
Interquartile range (IQR)273706.5

Descriptive statistics

Standard deviation382018.5
Coefficient of variation (CV)1.313943
Kurtosis3.986998
Mean290742.07
Median Absolute Deviation (MAD)67486.5
Skewness2.0536088
Sum8140778
Variance1.4593814 × 1011
MonotonicityNot monotonic
2023-12-13T02:24:27.336820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
1569925 1
 
3.6%
132090 1
 
3.6%
905162 1
 
3.6%
464499 1
 
3.6%
465005 1
 
3.6%
831205 1
 
3.6%
606213 1
 
3.6%
296864 1
 
3.6%
175548 1
 
3.6%
177406 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
0 1
3.6%
26023 1
3.6%
51320 1
3.6%
57183 1
3.6%
57863 1
3.6%
61268 1
3.6%
61473 1
3.6%
66264 1
3.6%
77778 1
3.6%
77917 1
3.6%
ValueCountFrequency (%)
1569925 1
3.6%
1098422 1
3.6%
905162 1
3.6%
831205 1
3.6%
606213 1
3.6%
465005 1
3.6%
464499 1
3.6%
296864 1
3.6%
218821 1
3.6%
177406 1
3.6%

결정(경정) 장기보유 특별공제
Real number (ℝ)

UNIQUE  ZEROS 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean314988.25
Minimum0
Maximum1589123
Zeros1
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-13T02:24:27.480985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile43071.4
Q177446.75
median149307
Q3369722.5
95-th percentile1108019.4
Maximum1589123
Range1589123
Interquartile range (IQR)292275.75

Descriptive statistics

Standard deviation394728.61
Coefficient of variation (CV)1.2531535
Kurtosis3.4586895
Mean314988.25
Median Absolute Deviation (MAD)77402.5
Skewness1.9707348
Sum8819671
Variance1.5581068 × 1011
MonotonicityNot monotonic
2023-12-13T02:24:27.640228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
1589123 1
 
3.6%
154091 1
 
3.6%
929584 1
 
3.6%
461503 1
 
3.6%
483529 1
 
3.6%
882965 1
 
3.6%
693830 1
 
3.6%
339129 1
 
3.6%
206752 1
 
3.6%
221058 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
0 1
3.6%
31450 1
3.6%
64654 1
3.6%
69466 1
3.6%
70905 1
3.6%
72904 1
3.6%
75601 1
3.6%
78062 1
3.6%
88835 1
3.6%
89200 1
3.6%
ValueCountFrequency (%)
1589123 1
3.6%
1204100 1
3.6%
929584 1
3.6%
882965 1
3.6%
693830 1
3.6%
483529 1
3.6%
461503 1
3.6%
339129 1
3.6%
236048 1
3.6%
221058 1
3.6%

장기보유 특별공제 증감액
Real number (ℝ)

UNIQUE  ZEROS 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24246.107
Minimum-2996
Maximum105678
Zeros1
Zeros (%)3.6%
Negative2
Negative (%)7.1%
Memory size384.0 B
2023-12-13T02:24:27.797285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-2996
5-th percentile-1046.5
Q112206.75
median17875.5
Q325701.25
95-th percentile75067.05
Maximum105678
Range108674
Interquartile range (IQR)13494.5

Descriptive statistics

Standard deviation24144.903
Coefficient of variation (CV)0.99582598
Kurtosis5.1488315
Mean24246.107
Median Absolute Deviation (MAD)6221.5
Skewness2.1471232
Sum678891
Variance5.8297636 × 108
MonotonicityNot monotonic
2023-12-13T02:24:27.988943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
19198 1
 
3.6%
22001 1
 
3.6%
24421 1
 
3.6%
-2996 1
 
3.6%
18524 1
 
3.6%
51760 1
 
3.6%
87617 1
 
3.6%
42265 1
 
3.6%
31203 1
 
3.6%
43652 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
-2996 1
3.6%
-1610 1
3.6%
0 1
3.6%
5427 1
3.6%
11057 1
3.6%
11283 1
3.6%
11978 1
3.6%
12283 1
3.6%
13450 1
3.6%
14128 1
3.6%
ValueCountFrequency (%)
105678 1
3.6%
87617 1
3.6%
51760 1
3.6%
43652 1
3.6%
42265 1
3.6%
31203 1
3.6%
29542 1
3.6%
24421 1
3.6%
22509 1
3.6%
22001 1
3.6%

신고(당초) 양도소득
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean966495.86
Minimum11713
Maximum4931644
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-13T02:24:28.151597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11713
5-th percentile131243.05
Q1237494.75
median399247.5
Q31259912.2
95-th percentile3452396.5
Maximum4931644
Range4919931
Interquartile range (IQR)1022417.5

Descriptive statistics

Standard deviation1218204.7
Coefficient of variation (CV)1.2604345
Kurtosis3.5747736
Mean966495.86
Median Absolute Deviation (MAD)211445
Skewness1.9859597
Sum27061884
Variance1.4840227 × 1012
MonotonicityNot monotonic
2023-12-13T02:24:28.325651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
3551758 1
 
3.6%
418958 1
 
3.6%
4931644 1
 
3.6%
1464438 1
 
3.6%
1275435 1
 
3.6%
2348393 1
 
3.6%
2149964 1
 
3.6%
1254738 1
 
3.6%
771183 1
 
3.6%
771313 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
11713 1
3.6%
101800 1
3.6%
185923 1
3.6%
189682 1
3.6%
192245 1
3.6%
204745 1
3.6%
234500 1
3.6%
238493 1
3.6%
276849 1
3.6%
280042 1
3.6%
ValueCountFrequency (%)
4931644 1
3.6%
3551758 1
3.6%
3267868 1
3.6%
2348393 1
3.6%
2149964 1
3.6%
1464438 1
3.6%
1275435 1
3.6%
1254738 1
3.6%
771313 1
3.6%
771183 1
3.6%

결정(경정) 양도소득
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1107817
Minimum16754
Maximum5092204
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-13T02:24:28.498945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16754
5-th percentile154441.05
Q1307505.75
median503521
Q31430740
95-th percentile3878481.4
Maximum5092204
Range5075450
Interquartile range (IQR)1123234.2

Descriptive statistics

Standard deviation1317846.2
Coefficient of variation (CV)1.1895883
Kurtosis2.547146
Mean1107817
Median Absolute Deviation (MAD)249208.5
Skewness1.8079884
Sum31018876
Variance1.7367186 × 1012
MonotonicityNot monotonic
2023-12-13T02:24:28.676208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
3936670 1
 
3.6%
510876 1
 
3.6%
5092204 1
 
3.6%
1541554 1
 
3.6%
1393802 1
 
3.6%
2701024 1
 
3.6%
2616224 1
 
3.6%
1552084 1
 
3.6%
960443 1
 
3.6%
1006208 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
16754 1
3.6%
124270 1
3.6%
210473 1
3.6%
251455 1
3.6%
257170 1
3.6%
260944 1
3.6%
300044 1
3.6%
309993 1
3.6%
326637 1
3.6%
344793 1
3.6%
ValueCountFrequency (%)
5092204 1
3.6%
3936670 1
3.6%
3770417 1
3.6%
2701024 1
3.6%
2616224 1
3.6%
1552084 1
3.6%
1541554 1
3.6%
1393802 1
3.6%
1006208 1
3.6%
960443 1
3.6%

양도소득 증감액
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean141321.14
Minimum5041
Maximum502550
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-13T02:24:28.840745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5041
5-th percentile21378.65
Q160965.75
median83839
Q3167735
95-th percentile437788.2
Maximum502550
Range497509
Interquartile range (IQR)106769.25

Descriptive statistics

Standard deviation136110.67
Coefficient of variation (CV)0.96313027
Kurtosis1.4307349
Mean141321.14
Median Absolute Deviation (MAD)32732.5
Skewness1.5548564
Sum3956992
Variance1.8526115 × 1010
MonotonicityNot monotonic
2023-12-13T02:24:29.000764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
384912 1
 
3.6%
91917 1
 
3.6%
160560 1
 
3.6%
77116 1
 
3.6%
118367 1
 
3.6%
352630 1
 
3.6%
466260 1
 
3.6%
297345 1
 
3.6%
189260 1
 
3.6%
234895 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
5041 1
3.6%
20791 1
3.6%
22470 1
3.6%
49788 1
3.6%
52425 1
3.6%
54714 1
3.6%
59210 1
3.6%
61551 1
3.6%
63405 1
3.6%
64751 1
3.6%
ValueCountFrequency (%)
502550 1
3.6%
466260 1
3.6%
384912 1
3.6%
352630 1
3.6%
297345 1
3.6%
234895 1
3.6%
189260 1
3.6%
160560 1
3.6%
129513 1
3.6%
118367 1
3.6%

Sample

구분1구분2자산건수신고(당초) 양도가액결정(경정) 양도가액양도가액 증감액신고(당초) 취득가액결정(경정) 취득가액취득가액 증감액신고(당초) 필요경비결정(경정) 필요경비필요경비 증감액신고(당초) 양도차익결정(경정) 양도차익양도차익 증감액신고(당초) 장기보유 특별공제결정(경정) 장기보유 특별공제장기보유 특별공제 증감액신고(당초) 양도소득결정(경정) 양도소득양도소득 증감액
0부동산 소재지별서울1530897833261049599371266637466264049284302659122815122532-28351216835525793404110156992515891231919835517583936670384912
1부동산 소재지별인천565010629381323010260072492688637811145123183621987515135371326516751145441352991555092021040183249616694334
2부동산 소재지별경기3035877448838948531120364929843243572108587785173027173442415436629049745176082271098422120410010567832678683770417502550
3부동산 소재지별강원630644589463483518894119386328555091687114961524737502372433318509460651320709051958518592326094475022
4부동산 소재지별대전2881618187760202142015278603344877662748494957710843162713888797260877778888351105723849330004461551
5부동산 소재지별충북58876444407988721544322640133550149100114071141033136480842804563238879591014091345027684932663749788
6부동산 소재지별충남96288867611146175259415363569504087140518173862080434195015736178801163071220141445232250937955947335693798
7부동산 소재지별세종10491996852468734718962567816251905936123869257127822155720278972602331450542710180012427022470
8부동산 소재지별광주282949629861764612134822130427622454920738276262442619283266366470857183694661228320474525717052425
9부동산 소재지별전북6847494416669108174692235790334944991546706934426392501083243597425157863729041504019224525145559210
구분1구분2자산건수신고(당초) 양도가액결정(경정) 양도가액양도가액 증감액신고(당초) 취득가액결정(경정) 취득가액취득가액 증감액신고(당초) 필요경비결정(경정) 필요경비필요경비 증감액신고(당초) 양도차익결정(경정) 양도차익양도차익 증감액신고(당초) 장기보유 특별공제결정(경정) 장기보유 특별공제장기보유 특별공제 증감액신고(당초) 양도소득결정(경정) 양도소득양도소득 증감액
18양도가액 규모별5천만 이하579927704258724111019864030874358143272791861019310073575914264336884261473756011412829611935083354714
19양도가액 규모별1억 이하2469011575131485401327889654993821492166499158761915132754847356437901590548807211761429542396663526176129513
20양도가액 규모별2억 이하260802415540310431368877414244721830239405767349954162566309487181227265278547177406221058436527713131006208234895
21양도가액 규모별3억 이하14966238507330433396582671395150182588343073334021395835562946731116719522046317554820675231203771183960443189260
22양도가액 규모별5억 이하15036381009847852269751292167256278747162021553287609687681155160218912133396112968643391294226512547381552084297345
23양도가액 규모별10억 이하134426546936774513911982033416618402940561278791168993858217275617733100545538776062136938308761721499642616224466260
24양도가액 규모별20억 이하73837688290836773467944537428244038393295569117461113148-4314317959935839894043908312058829655176023483932701024352630
25양도가액 규모별30억 이하209439074524162102254651198019521061201259255231052620310174044018773311368914650054835291852412754351393802118367
26양도가액 규모별50억 이하14924347435464491429747923068432532380225538572566006328071928937200305774120464499461503-29961464438154155477116
27양도가액 규모별50억 초과198747283514784442303116071641279674722074283092775315201519033938324583680660217881849829051629295842442149316445092204160560