Overview

Dataset statistics

Number of variables68
Number of observations21
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.6 KiB
Average record size in memory616.3 B

Variable types

Categorical1
DateTime1
Text1
Numeric65

Dataset

Description- 2022년 귀속 양도소득세 결정분 또는 경정분을 기준으로 작성 (과세미달 및 비과세는 제외)- 토지, 건물 및 부동산에 관한 권리에 한하여 총계를 작성(단위 : 건수, 백만원)
Author국세청
URLhttps://www.data.go.kr/data/15118244/fileData.do

Alerts

귀속연도 has constant value ""Constant
데이터생성일 has constant value ""Constant
구분 has unique valuesUnique
토지 자산건수 has unique valuesUnique
토지 당초(신고) 양도가액 has unique valuesUnique
토지 결정(경정) 양도가액 has unique valuesUnique
토지 양도가액 증감액 has unique valuesUnique
토지 당초(신고) 취득가액 has unique valuesUnique
토지 결정(경정) 취득가액 has unique valuesUnique
토지 취득가액 증감액 has unique valuesUnique
토지 당초(신고) 필요경비 has unique valuesUnique
토지 결정(경정) 필요경비 has unique valuesUnique
토지 필요경비 증감액 has unique valuesUnique
고가주택 자산건수 has unique valuesUnique
고가주택 당초(신고) 양도가액 has unique valuesUnique
고가주택 결정(경정) 양도가액 has unique valuesUnique
고가주택 양도가액 증감액 has unique valuesUnique
고가주택 당초(신고) 취득가액 has unique valuesUnique
고가주택 결정(경정) 취득가액 has unique valuesUnique
고가주택 취득가액 증감액 has unique valuesUnique
고가주택 당초(신고) 필요경비 has unique valuesUnique
고가주택 결정(경정) 필요경비 has unique valuesUnique
고가주택 필요경비 증감액 has unique valuesUnique
기타주택 자산건수 has unique valuesUnique
기타주택 당초(신고) 양도가액 has unique valuesUnique
기타주택 결정(경정) 양도가액 has unique valuesUnique
기타주택 양도가액 증감액 has unique valuesUnique
기타주책 당초(신고) 취득가액 has unique valuesUnique
기타주택 결정(경정) 취득가액 has unique valuesUnique
기타주택 취득가액 증감액 has unique valuesUnique
기타주택 당초(신고) 필요경비 has unique valuesUnique
기타주택 결정(경정) 필요경비 has unique valuesUnique
기타주택 필요경비 증감액 has unique valuesUnique
기타건물 자산건수 has unique valuesUnique
기타건물 당초(신고) 양도가액 has unique valuesUnique
기타건물 결정(경정) 양도가액 has unique valuesUnique
기타건물 양도가액 증감액 has unique valuesUnique
기타건물 당초(신고) 취득가액 has unique valuesUnique
기타건물 결정(경정) 취득가액 has unique valuesUnique
기타건물 취득가액 증감액 has unique valuesUnique
기타건물 당초(신고) 필요경비 has unique valuesUnique
기타건물 결정(경정) 필요경비 has unique valuesUnique
부동산에 관한 권리 당초(신고) 양도가액 has unique valuesUnique
부동산에 관한 권리 결정(경정 양도가액 has unique valuesUnique
부동산에 관한 권리 당초(신고) 취득가액 has unique valuesUnique
토지 당초(신고) 장기보유특별공제 has 3 (14.3%) zerosZeros
토지 결정(경정) 장기보유특별공제 has 3 (14.3%) zerosZeros
토지 장기보유특별공제 증감액 has 3 (14.3%) zerosZeros
고가주택 당초(신고) 장기보유특별공제 has 3 (14.3%) zerosZeros
고가주택 결정(경정) 장기보유특별공제 has 3 (14.3%) zerosZeros
고가주택 장기보유특별공제 증감액 has 3 (14.3%) zerosZeros
기타주택 당초(신고) 장기보유특별공제 has 3 (14.3%) zerosZeros
기타주택 결정(경정) 장기보유특별공제 has 3 (14.3%) zerosZeros
기타주택 장기보유특별공제 증감액 has 3 (14.3%) zerosZeros
기타건물 당초(신고) 장기보유특별공제 has 3 (14.3%) zerosZeros
기타건물 결정(경정) 장기보유특별공제 has 3 (14.3%) zerosZeros
기타건물 장기보유특별공제 증감액 has 3 (14.3%) zerosZeros
부동산에 관한 권리 양도가액 증감액 has 2 (9.5%) zerosZeros
부동산에 관한 권리 취득가액 증감액 has 3 (14.3%) zerosZeros
부동산에 관한 권리 당초(신고) 필요경비 has 2 (9.5%) zerosZeros
부동산에 관한 권리 결정(경정) 필요경비 has 2 (9.5%) zerosZeros
부동산에 관한 권리 필요경비 증감액 has 6 (28.6%) zerosZeros
부동산에 관한 권리 당초(신고) 장기보유특별공제 has 5 (23.8%) zerosZeros
부동산에 관한 권리 결정(경정) 장기보유특별공제 has 6 (28.6%) zerosZeros
부동산에 관한 권리 장기보유특별공제 증감액 has 8 (38.1%) zerosZeros

Reproduction

Analysis started2023-12-12 12:51:54.574250
Analysis finished2023-12-12 12:51:55.296766
Duration0.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

귀속연도
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
2022
21 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022
2nd row2022
3rd row2022
4th row2022
5th row2022

Common Values

ValueCountFrequency (%)
2022 21
100.0%

Length

2023-12-12T21:51:55.379777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:51:55.500572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 21
100.0%

데이터생성일
Date

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
Minimum2023-06-30 00:00:00
Maximum2023-06-30 00:00:00
2023-12-12T21:51:55.585352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:51:55.696514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

구분
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-12T21:51:55.853650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.5238095
Min length5

Characters and Unicode

Total characters116
Distinct characters16
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

Unique21 ?
Unique (%)100.0%

Sample

1st row1년 미만
2nd row1년 이상
3rd row2년 이상
4th row3년 이상
5th row4년 이상
ValueCountFrequency (%)
이상 20
47.6%
1년 2
 
4.8%
11년 1
 
2.4%
19년 1
 
2.4%
18년 1
 
2.4%
17년 1
 
2.4%
16년 1
 
2.4%
15년 1
 
2.4%
14년 1
 
2.4%
13년 1
 
2.4%
Other values (12) 12
28.6%
2023-12-12T21:51:56.161320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21
18.1%
21
18.1%
20
17.2%
20
17.2%
1 13
11.2%
2 3
 
2.6%
3 2
 
1.7%
4 2
 
1.7%
5 2
 
1.7%
6 2
 
1.7%
Other values (6) 10
8.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 63
54.3%
Decimal Number 32
27.6%
Space Separator 21
 
18.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 13
40.6%
2 3
 
9.4%
3 2
 
6.2%
4 2
 
6.2%
5 2
 
6.2%
6 2
 
6.2%
7 2
 
6.2%
8 2
 
6.2%
9 2
 
6.2%
0 2
 
6.2%
Other Letter
ValueCountFrequency (%)
21
33.3%
20
31.7%
20
31.7%
1
 
1.6%
1
 
1.6%
Space Separator
ValueCountFrequency (%)
21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 63
54.3%
Common 53
45.7%

Most frequent character per script

Common
ValueCountFrequency (%)
21
39.6%
1 13
24.5%
2 3
 
5.7%
3 2
 
3.8%
4 2
 
3.8%
5 2
 
3.8%
6 2
 
3.8%
7 2
 
3.8%
8 2
 
3.8%
9 2
 
3.8%
Hangul
ValueCountFrequency (%)
21
33.3%
20
31.7%
20
31.7%
1
 
1.6%
1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 63
54.3%
ASCII 53
45.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
21
33.3%
20
31.7%
20
31.7%
1
 
1.6%
1
 
1.6%
ASCII
ValueCountFrequency (%)
21
39.6%
1 13
24.5%
2 3
 
5.7%
3 2
 
3.8%
4 2
 
3.8%
5 2
 
3.8%
6 2
 
3.8%
7 2
 
3.8%
8 2
 
3.8%
9 2
 
3.8%

토지 자산건수
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4254.5714
Minimum1914
Maximum26741
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T21:51:56.311141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1914
5-th percentile2094
Q12473
median2693
Q33914
95-th percentile5218
Maximum26741
Range24827
Interquartile range (IQR)1441

Descriptive statistics

Standard deviation5247.1861
Coefficient of variation (CV)1.2333054
Kurtosis19.284639
Mean4254.5714
Median Absolute Deviation (MAD)327
Skewness4.3202695
Sum89346
Variance27532962
MonotonicityNot monotonic
2023-12-12T21:51:56.450035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
2880 1
 
4.8%
3510 1
 
4.8%
26741 1
 
4.8%
1914 1
 
4.8%
2094 1
 
4.8%
2664 1
 
4.8%
2868 1
 
4.8%
2674 1
 
4.8%
2661 1
 
4.8%
2489 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
1914 1
4.8%
2094 1
4.8%
2293 1
4.8%
2366 1
4.8%
2469 1
4.8%
2473 1
4.8%
2489 1
4.8%
2661 1
4.8%
2664 1
4.8%
2674 1
4.8%
ValueCountFrequency (%)
26741 1
4.8%
5218 1
4.8%
5100 1
4.8%
4671 1
4.8%
4636 1
4.8%
3914 1
4.8%
3510 1
4.8%
3018 1
4.8%
2880 1
4.8%
2868 1
4.8%

토지 당초(신고) 양도가액
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean775437.43
Minimum254622
Maximum5800828
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T21:51:56.583118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum254622
5-th percentile337239
Q1406254
median529468
Q3648503
95-th percentile897897
Maximum5800828
Range5546206
Interquartile range (IQR)242249

Descriptive statistics

Standard deviation1163043.5
Coefficient of variation (CV)1.4998547
Kurtosis20.045655
Mean775437.43
Median Absolute Deviation (MAD)123214
Skewness4.4341779
Sum16284186
Variance1.3526702 × 1012
MonotonicityNot monotonic
2023-12-12T21:51:56.708834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
254622 1
 
4.8%
338650 1
 
4.8%
5800828 1
 
4.8%
529468 1
 
4.8%
545052 1
 
4.8%
654632 1
 
4.8%
768766 1
 
4.8%
897897 1
 
4.8%
528416 1
 
4.8%
425336 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
254622 1
4.8%
337239 1
4.8%
338650 1
4.8%
346347 1
4.8%
352599 1
4.8%
406254 1
4.8%
425336 1
4.8%
450194 1
4.8%
470149 1
4.8%
528416 1
4.8%
ValueCountFrequency (%)
5800828 1
4.8%
897897 1
4.8%
768766 1
4.8%
755084 1
4.8%
654632 1
4.8%
648503 1
4.8%
624159 1
4.8%
579570 1
4.8%
570421 1
4.8%
545052 1
4.8%

토지 결정(경정) 양도가액
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean834561.86
Minimum346367
Maximum6056734
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T21:51:56.837118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum346367
5-th percentile387307
Q1445634
median550962
Q3694224
95-th percentile917924
Maximum6056734
Range5710367
Interquartile range (IQR)248590

Descriptive statistics

Standard deviation1207434
Coefficient of variation (CV)1.4467879
Kurtosis20.134355
Mean834561.86
Median Absolute Deviation (MAD)127801
Skewness4.4484436
Sum17525799
Variance1.4578968 × 1012
MonotonicityNot monotonic
2023-12-12T21:51:56.970382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
346367 1
 
4.8%
423161 1
 
4.8%
6056734 1
 
4.8%
535701 1
 
4.8%
509841 1
 
4.8%
655827 1
 
4.8%
824467 1
 
4.8%
917924 1
 
4.8%
550962 1
 
4.8%
481865 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
346367 1
4.8%
387307 1
4.8%
396059 1
4.8%
397729 1
4.8%
423161 1
4.8%
445634 1
4.8%
481865 1
4.8%
485195 1
4.8%
509841 1
4.8%
535701 1
4.8%
ValueCountFrequency (%)
6056734 1
4.8%
917924 1
4.8%
852948 1
4.8%
824467 1
4.8%
740324 1
4.8%
694224 1
4.8%
655827 1
4.8%
623237 1
4.8%
619461 1
4.8%
580832 1
4.8%

토지 양도가액 증감액
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59124.476
Minimum-35210
Maximum255906
Zeros0
Zeros (%)0.0%
Negative1
Negative (%)4.8%
Memory size321.0 B
2023-12-12T21:51:57.098504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-35210
5-th percentile1195
Q135001
median52817
Q384512
95-th percentile110683
Maximum255906
Range291116
Interquartile range (IQR)49511

Descriptive statistics

Standard deviation57304.209
Coefficient of variation (CV)0.96921296
Kurtosis6.6054088
Mean59124.476
Median Absolute Deviation (MAD)30270
Skewness1.9303515
Sum1241614
Variance3.2837723 × 109
MonotonicityNot monotonic
2023-12-12T21:51:57.214591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
91744 1
 
4.8%
84512 1
 
4.8%
255906 1
 
4.8%
6233 1
 
4.8%
-35210 1
 
4.8%
1195 1
 
4.8%
55701 1
 
4.8%
20027 1
 
4.8%
22547 1
 
4.8%
56529 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
-35210 1
4.8%
1195 1
4.8%
6233 1
4.8%
20027 1
4.8%
22547 1
4.8%
35001 1
4.8%
39379 1
4.8%
39890 1
4.8%
40959 1
4.8%
43460 1
4.8%
ValueCountFrequency (%)
255906 1
4.8%
110683 1
4.8%
97864 1
4.8%
91821 1
4.8%
91744 1
4.8%
84512 1
4.8%
70066 1
4.8%
60490 1
4.8%
56529 1
4.8%
55701 1
4.8%

토지 당초(신고) 취득가액
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean230330.57
Minimum101191
Maximum758628
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T21:51:57.375299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum101191
5-th percentile120946
Q1152591
median181794
Q3254166
95-th percentile385159
Maximum758628
Range657437
Interquartile range (IQR)101575

Descriptive statistics

Standard deviation143948.24
Coefficient of variation (CV)0.62496369
Kurtosis9.0080023
Mean230330.57
Median Absolute Deviation (MAD)52841
Skewness2.6985949
Sum4836942
Variance2.0721097 × 1010
MonotonicityNot monotonic
2023-12-12T21:51:57.491536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
174490 1
 
4.8%
215530 1
 
4.8%
758628 1
 
4.8%
101191 1
 
4.8%
128607 1
 
4.8%
153688 1
 
4.8%
192443 1
 
4.8%
252739 1
 
4.8%
181794 1
 
4.8%
153866 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
101191 1
4.8%
120946 1
4.8%
128607 1
4.8%
128953 1
4.8%
142305 1
4.8%
152591 1
4.8%
153688 1
4.8%
153866 1
4.8%
174490 1
4.8%
178323 1
4.8%
ValueCountFrequency (%)
758628 1
4.8%
385159 1
4.8%
344729 1
4.8%
328983 1
4.8%
279123 1
4.8%
254166 1
4.8%
252739 1
4.8%
215530 1
4.8%
208688 1
4.8%
192443 1
4.8%

토지 결정(경정) 취득가액
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean249435.81
Minimum96271
Maximum753829
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T21:51:57.598432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum96271
5-th percentile111274
Q1156630
median197237
Q3278535
95-th percentile422633
Maximum753829
Range657558
Interquartile range (IQR)121905

Descriptive statistics

Standard deviation147708.65
Coefficient of variation (CV)0.592171
Kurtosis6.102218
Mean249435.81
Median Absolute Deviation (MAD)45780
Skewness2.1770647
Sum5238152
Variance2.1817846 × 1010
MonotonicityNot monotonic
2023-12-12T21:51:57.698509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
235560 1
 
4.8%
266760 1
 
4.8%
753829 1
 
4.8%
96271 1
 
4.8%
111274 1
 
4.8%
156630 1
 
4.8%
188685 1
 
4.8%
241510 1
 
4.8%
176568 1
 
4.8%
155593 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
96271 1
4.8%
111274 1
4.8%
140966 1
4.8%
151457 1
4.8%
155593 1
4.8%
156630 1
4.8%
163962 1
4.8%
171216 1
4.8%
176568 1
4.8%
188685 1
4.8%
ValueCountFrequency (%)
753829 1
4.8%
422633 1
4.8%
381142 1
4.8%
379341 1
4.8%
345249 1
4.8%
278535 1
4.8%
266760 1
4.8%
241510 1
4.8%
235560 1
4.8%
223734 1
4.8%

토지 취득가액 증감액
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19105.19
Minimum-17333
Maximum66126
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)28.6%
Memory size321.0 B
2023-12-12T21:51:57.855587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-17333
5-th percentile-11229
Q1-3758
median18625
Q336413
95-th percentile61070
Maximum66126
Range83459
Interquartile range (IQR)40171

Descriptive statistics

Standard deviation24416.69
Coefficient of variation (CV)1.2780134
Kurtosis-0.79406218
Mean19105.19
Median Absolute Deviation (MAD)18848
Skewness0.43469734
Sum401209
Variance5.9617476 × 108
MonotonicityNot monotonic
2023-12-12T21:51:57.968437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
61070 1
 
4.8%
51230 1
 
4.8%
-4798 1
 
4.8%
-4920 1
 
4.8%
-17333 1
 
4.8%
2942 1
 
4.8%
-3758 1
 
4.8%
-11229 1
 
4.8%
-5226 1
 
4.8%
1727 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
-17333 1
4.8%
-11229 1
4.8%
-5226 1
4.8%
-4920 1
4.8%
-4798 1
4.8%
-3758 1
4.8%
1727 1
4.8%
2942 1
4.8%
12013 1
4.8%
15046 1
4.8%
ValueCountFrequency (%)
66126 1
4.8%
61070 1
4.8%
51230 1
4.8%
50358 1
4.8%
37473 1
4.8%
36413 1
4.8%
30511 1
4.8%
24369 1
4.8%
21657 1
4.8%
18913 1
4.8%

토지 당초(신고) 필요경비
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12452.048
Minimum4350
Maximum54093
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T21:51:58.106112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4350
5-th percentile4733
Q16510
median8977
Q314184
95-th percentile18746
Maximum54093
Range49743
Interquartile range (IQR)7674

Descriptive statistics

Standard deviation10663.009
Coefficient of variation (CV)0.85632573
Kurtosis12.319677
Mean12452.048
Median Absolute Deviation (MAD)4158
Skewness3.1997661
Sum261493
Variance1.1369976 × 108
MonotonicityNot monotonic
2023-12-12T21:51:58.219099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
18104 1
 
4.8%
10532 1
 
4.8%
54093 1
 
4.8%
4350 1
 
4.8%
6510 1
 
4.8%
6365 1
 
4.8%
8977 1
 
4.8%
8608 1
 
4.8%
7355 1
 
4.8%
8167 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
4350 1
4.8%
4733 1
4.8%
4819 1
4.8%
5109 1
4.8%
6365 1
4.8%
6510 1
4.8%
7355 1
4.8%
7404 1
4.8%
8167 1
4.8%
8608 1
4.8%
ValueCountFrequency (%)
54093 1
4.8%
18746 1
4.8%
18190 1
4.8%
18104 1
4.8%
16768 1
4.8%
14184 1
4.8%
13929 1
4.8%
13152 1
4.8%
11398 1
4.8%
10532 1
4.8%

토지 결정(경정) 필요경비
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12668.476
Minimum4361
Maximum49769
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T21:51:58.343264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4361
5-th percentile4766
Q16675
median9662
Q316695
95-th percentile21750
Maximum49769
Range45408
Interquartile range (IQR)10020

Descriptive statistics

Standard deviation10101.993
Coefficient of variation (CV)0.79741182
Kurtosis8.9949242
Mean12668.476
Median Absolute Deviation (MAD)3628
Skewness2.6670857
Sum266038
Variance1.0205026 × 108
MonotonicityNot monotonic
2023-12-12T21:51:58.479227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
21750 1
 
4.8%
9662 1
 
4.8%
49769 1
 
4.8%
4361 1
 
4.8%
4883 1
 
4.8%
6675 1
 
4.8%
10302 1
 
4.8%
7438 1
 
4.8%
7605 1
 
4.8%
6987 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
4361 1
4.8%
4766 1
4.8%
4883 1
4.8%
6034 1
4.8%
6612 1
4.8%
6675 1
4.8%
6987 1
4.8%
6988 1
4.8%
7438 1
4.8%
7605 1
4.8%
ValueCountFrequency (%)
49769 1
4.8%
21750 1
4.8%
20432 1
4.8%
19094 1
4.8%
16958 1
4.8%
16695 1
4.8%
14736 1
4.8%
12469 1
4.8%
11822 1
4.8%
10302 1
4.8%

토지 필요경비 증감액
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean216.28571
Minimum-4323
Maximum3647
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)38.1%
Memory size321.0 B
2023-12-12T21:51:58.633983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4323
5-th percentile-1628
Q1-869
median249
Q31300
95-th percentile2765
Maximum3647
Range7970
Interquartile range (IQR)2169

Descriptive statistics

Standard deviation1724.7187
Coefficient of variation (CV)7.9742607
Kurtosis1.4411217
Mean216.28571
Median Absolute Deviation (MAD)1076
Skewness-0.4619733
Sum4542
Variance2974654.5
MonotonicityNot monotonic
2023-12-12T21:51:58.764718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
3647 1
 
4.8%
-869 1
 
4.8%
-4323 1
 
4.8%
11 1
 
4.8%
-1628 1
 
4.8%
310 1
 
4.8%
1325 1
 
4.8%
-1169 1
 
4.8%
249 1
 
4.8%
-1180 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
-4323 1
4.8%
-1628 1
4.8%
-1330 1
4.8%
-1180 1
4.8%
-1169 1
4.8%
-869 1
4.8%
-792 1
4.8%
-53 1
4.8%
11 1
4.8%
189 1
4.8%
ValueCountFrequency (%)
3647 1
4.8%
2765 1
4.8%
1879 1
4.8%
1686 1
4.8%
1325 1
4.8%
1300 1
4.8%
1070 1
4.8%
903 1
4.8%
552 1
4.8%
310 1
4.8%
Distinct19
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean135562.29
Minimum0
Maximum1505749
Zeros3
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T21:51:58.885094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q134877
median47590
Q3121987
95-th percentile191884
Maximum1505749
Range1505749
Interquartile range (IQR)87110

Descriptive statistics

Standard deviation318901.5
Coefficient of variation (CV)2.3524352
Kurtosis19.522511
Mean135562.29
Median Absolute Deviation (MAD)36129
Skewness4.3551331
Sum2846808
Variance1.0169817 × 1011
MonotonicityNot monotonic
2023-12-12T21:51:59.011889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 3
 
14.3%
19195 1
 
4.8%
1505749 1
 
4.8%
121987 1
 
4.8%
122755 1
 
4.8%
149987 1
 
4.8%
169999 1
 
4.8%
191884 1
 
4.8%
96950 1
 
4.8%
70526 1
 
4.8%
Other values (9) 9
42.9%
ValueCountFrequency (%)
0 3
14.3%
19195 1
 
4.8%
25729 1
 
4.8%
34877 1
 
4.8%
37790 1
 
4.8%
38755 1
 
4.8%
38786 1
 
4.8%
42791 1
 
4.8%
47590 1
 
4.8%
47739 1
 
4.8%
ValueCountFrequency (%)
1505749 1
4.8%
191884 1
4.8%
169999 1
4.8%
149987 1
4.8%
122755 1
4.8%
121987 1
4.8%
96950 1
4.8%
83719 1
4.8%
70526 1
4.8%
47739 1
4.8%
Distinct19
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean143281.86
Minimum0
Maximum1579163
Zeros3
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T21:51:59.425385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q138305
median50982
Q3117222
95-th percentile201415
Maximum1579163
Range1579163
Interquartile range (IQR)78917

Descriptive statistics

Standard deviation334045.71
Coefficient of variation (CV)2.3313888
Kurtosis19.562639
Mean143281.86
Median Absolute Deviation (MAD)41394
Skewness4.3612423
Sum3008919
Variance1.1158654 × 1011
MonotonicityNot monotonic
2023-12-12T21:51:59.580061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 3
 
14.3%
22014 1
 
4.8%
1579163 1
 
4.8%
124662 1
 
4.8%
117222 1
 
4.8%
148425 1
 
4.8%
186533 1
 
4.8%
201415 1
 
4.8%
102118 1
 
4.8%
84871 1
 
4.8%
Other values (9) 9
42.9%
ValueCountFrequency (%)
0 3
14.3%
22014 1
 
4.8%
29738 1
 
4.8%
38305 1
 
4.8%
40159 1
 
4.8%
41123 1
 
4.8%
45705 1
 
4.8%
49563 1
 
4.8%
50982 1
 
4.8%
54545 1
 
4.8%
ValueCountFrequency (%)
1579163 1
4.8%
201415 1
4.8%
186533 1
4.8%
148425 1
4.8%
124662 1
4.8%
117222 1
4.8%
102118 1
4.8%
92376 1
4.8%
84871 1
4.8%
54545 1
4.8%
Distinct18
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7719.5714
Minimum-5503
Maximum73444
Zeros3
Zeros (%)14.3%
Negative2
Negative (%)9.5%
Memory size321.0 B
2023-12-12T21:51:59.719702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-5503
5-th percentile-1538
Q12368
median3424
Q36908
95-th percentile16518
Maximum73444
Range78947
Interquartile range (IQR)4540

Descriptive statistics

Standard deviation15891.442
Coefficient of variation (CV)2.0585912
Kurtosis16.317457
Mean7719.5714
Median Absolute Deviation (MAD)3424
Skewness3.850435
Sum162111
Variance2.5253792 × 108
MonotonicityNot monotonic
2023-12-12T21:51:59.838913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 3
 
14.3%
2368 2
 
9.5%
14319 1
 
4.8%
73444 1
 
4.8%
2685 1
 
4.8%
-5503 1
 
4.8%
-1538 1
 
4.8%
16518 1
 
4.8%
9535 1
 
4.8%
5168 1
 
4.8%
Other values (8) 8
38.1%
ValueCountFrequency (%)
-5503 1
 
4.8%
-1538 1
 
4.8%
0 3
14.3%
2368 2
9.5%
2685 1
 
4.8%
2815 1
 
4.8%
3391 1
 
4.8%
3424 1
 
4.8%
4003 1
 
4.8%
5168 1
 
4.8%
ValueCountFrequency (%)
73444 1
4.8%
16518 1
4.8%
14319 1
4.8%
9535 1
4.8%
8648 1
4.8%
6908 1
4.8%
6797 1
4.8%
6761 1
4.8%
5168 1
4.8%
4003 1
4.8%

고가주택 자산건수
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean115.42857
Minimum17
Maximum378
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T21:51:59.953480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile19
Q169
median85
Q3148
95-th percentile245
Maximum378
Range361
Interquartile range (IQR)79

Descriptive statistics

Standard deviation87.078454
Coefficient of variation (CV)0.75439255
Kurtosis3.0600658
Mean115.42857
Median Absolute Deviation (MAD)22
Skewness1.6971195
Sum2424
Variance7582.6571
MonotonicityNot monotonic
2023-12-12T21:52:00.070939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
19 1
 
4.8%
17 1
 
4.8%
378 1
 
4.8%
57 1
 
4.8%
67 1
 
4.8%
75 1
 
4.8%
76 1
 
4.8%
85 1
 
4.8%
96 1
 
4.8%
70 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
17 1
4.8%
19 1
4.8%
54 1
4.8%
57 1
4.8%
67 1
4.8%
69 1
4.8%
70 1
4.8%
75 1
4.8%
76 1
4.8%
81 1
4.8%
ValueCountFrequency (%)
378 1
4.8%
245 1
4.8%
244 1
4.8%
200 1
4.8%
154 1
4.8%
148 1
4.8%
107 1
4.8%
96 1
4.8%
93 1
4.8%
89 1
4.8%
Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129209.9
Minimum19524
Maximum533494
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T21:52:00.202862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19524
5-th percentile26098
Q180625
median100912
Q3137255
95-th percentile227635
Maximum533494
Range513970
Interquartile range (IQR)56630

Descriptive statistics

Standard deviation108423.91
Coefficient of variation (CV)0.83913001
Kurtosis9.8098681
Mean129209.9
Median Absolute Deviation (MAD)27415
Skewness2.8042156
Sum2713408
Variance1.1755744 × 1010
MonotonicityNot monotonic
2023-12-12T21:52:00.318409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
26098 1
 
4.8%
19524 1
 
4.8%
533494 1
 
4.8%
59538 1
 
4.8%
81607 1
 
4.8%
80625 1
 
4.8%
109195 1
 
4.8%
100912 1
 
4.8%
109630 1
 
4.8%
81661 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
19524 1
4.8%
26098 1
4.8%
59538 1
4.8%
65174 1
4.8%
73497 1
4.8%
80625 1
4.8%
81607 1
4.8%
81661 1
4.8%
91055 1
4.8%
96088 1
4.8%
ValueCountFrequency (%)
533494 1
4.8%
227635 1
4.8%
226914 1
4.8%
196383 1
4.8%
169629 1
4.8%
137255 1
4.8%
113838 1
4.8%
113656 1
4.8%
109630 1
4.8%
109195 1
4.8%
Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean131972.76
Minimum16795
Maximum554423
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T21:52:00.448555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16795
5-th percentile20802
Q184006
median104616
Q3127728
95-th percentile242594
Maximum554423
Range537628
Interquartile range (IQR)43722

Descriptive statistics

Standard deviation113047.14
Coefficient of variation (CV)0.85659446
Kurtosis9.9409011
Mean131972.76
Median Absolute Deviation (MAD)23112
Skewness2.8336629
Sum2771428
Variance1.2779655 × 1010
MonotonicityNot monotonic
2023-12-12T21:52:00.591126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
20802 1
 
4.8%
16795 1
 
4.8%
554423 1
 
4.8%
76216 1
 
4.8%
87540 1
 
4.8%
84006 1
 
4.8%
108080 1
 
4.8%
111570 1
 
4.8%
104616 1
 
4.8%
90397 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
16795 1
4.8%
20802 1
4.8%
59785 1
4.8%
74654 1
4.8%
76216 1
4.8%
84006 1
4.8%
87540 1
4.8%
89149 1
4.8%
90397 1
4.8%
100771 1
4.8%
ValueCountFrequency (%)
554423 1
4.8%
242594 1
4.8%
230674 1
4.8%
207115 1
4.8%
161393 1
4.8%
127728 1
4.8%
113780 1
4.8%
111570 1
4.8%
109340 1
4.8%
108080 1
4.8%

고가주택 양도가액 증감액
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2762.7619
Minimum-9527
Maximum20929
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)42.9%
Memory size321.0 B
2023-12-12T21:52:00.710866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-9527
5-th percentile-8236
Q1-4498
median1156
Q38736
95-th percentile16677
Maximum20929
Range30456
Interquartile range (IQR)13234

Descriptive statistics

Standard deviation8491.4848
Coefficient of variation (CV)3.0735492
Kurtosis-0.49480853
Mean2762.7619
Median Absolute Deviation (MAD)6170
Skewness0.56873684
Sum58018
Variance72105313
MonotonicityNot monotonic
2023-12-12T21:52:00.819460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
-5295 1
 
4.8%
-2730 1
 
4.8%
20929 1
 
4.8%
16677 1
 
4.8%
5933 1
 
4.8%
3381 1
 
4.8%
-1115 1
 
4.8%
10658 1
 
4.8%
-5014 1
 
4.8%
8736 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
-9527 1
4.8%
-8236 1
4.8%
-5389 1
4.8%
-5295 1
4.8%
-5014 1
4.8%
-4498 1
4.8%
-2730 1
4.8%
-1905 1
4.8%
-1115 1
4.8%
124 1
4.8%
ValueCountFrequency (%)
20929 1
4.8%
16677 1
4.8%
14958 1
4.8%
10732 1
4.8%
10658 1
4.8%
8736 1
4.8%
5933 1
4.8%
4683 1
4.8%
3760 1
4.8%
3381 1
4.8%
Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52366.143
Minimum12509
Maximum125362
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T21:52:00.961509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12509
5-th percentile14154
Q129798
median40006
Q380632
95-th percentile120006
Maximum125362
Range112853
Interquartile range (IQR)50834

Descriptive statistics

Standard deviation35028.566
Coefficient of variation (CV)0.66891629
Kurtosis-0.31035753
Mean52366.143
Median Absolute Deviation (MAD)13048
Skewness0.94256568
Sum1099689
Variance1.2270005 × 109
MonotonicityNot monotonic
2023-12-12T21:52:01.104653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
16594 1
 
4.8%
12509 1
 
4.8%
106238 1
 
4.8%
14154 1
 
4.8%
19369 1
 
4.8%
26958 1
 
4.8%
32095 1
 
4.8%
36631 1
 
4.8%
44338 1
 
4.8%
34789 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
12509 1
4.8%
14154 1
4.8%
16594 1
4.8%
19369 1
4.8%
26958 1
4.8%
29798 1
4.8%
32095 1
4.8%
34789 1
4.8%
35486 1
4.8%
36631 1
4.8%
ValueCountFrequency (%)
125362 1
4.8%
120006 1
4.8%
106238 1
4.8%
94854 1
4.8%
84428 1
4.8%
80632 1
4.8%
51291 1
4.8%
48353 1
4.8%
45798 1
4.8%
44338 1
4.8%
Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50880.857
Minimum9067
Maximum126579
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T21:52:01.219061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9067
5-th percentile13399
Q126183
median39263
Q371466
95-th percentile125671
Maximum126579
Range117512
Interquartile range (IQR)45283

Descriptive statistics

Standard deviation35059.984
Coefficient of variation (CV)0.6890604
Kurtosis0.15579566
Mean50880.857
Median Absolute Deviation (MAD)13560
Skewness1.0689354
Sum1068498
Variance1.2292025 × 109
MonotonicityNot monotonic
2023-12-12T21:52:01.342540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
13399 1
 
4.8%
9067 1
 
4.8%
94213 1
 
4.8%
18057 1
 
4.8%
20809 1
 
4.8%
25703 1
 
4.8%
30408 1
 
4.8%
35242 1
 
4.8%
39342 1
 
4.8%
38520 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
9067 1
4.8%
13399 1
4.8%
18057 1
4.8%
20809 1
4.8%
25703 1
4.8%
26183 1
4.8%
30408 1
4.8%
33356 1
4.8%
35242 1
4.8%
38520 1
4.8%
ValueCountFrequency (%)
126579 1
4.8%
125671 1
4.8%
98873 1
4.8%
94213 1
4.8%
79465 1
4.8%
71466 1
4.8%
52517 1
4.8%
45551 1
4.8%
44814 1
4.8%
39342 1
4.8%

고가주택 취득가액 증감액
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1485.4286
Minimum-12025
Maximum6573
Zeros0
Zeros (%)0.0%
Negative14
Negative (%)66.7%
Memory size321.0 B
2023-12-12T21:52:01.445067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-12025
5-th percentile-9166
Q1-3539
median-1389
Q31225
95-th percentile4019
Maximum6573
Range18598
Interquartile range (IQR)4764

Descriptive statistics

Standard deviation4377.2117
Coefficient of variation (CV)-2.9467669
Kurtosis0.72987069
Mean-1485.4286
Median Absolute Deviation (MAD)2226
Skewness-0.46048085
Sum-31194
Variance19159982
MonotonicityNot monotonic
2023-12-12T21:52:01.562328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
-3195 1
 
4.8%
-3443 1
 
4.8%
-12025 1
 
4.8%
3902 1
 
4.8%
1440 1
 
4.8%
-1255 1
 
4.8%
-1686 1
 
4.8%
-1389 1
 
4.8%
-4996 1
 
4.8%
3731 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
-12025 1
4.8%
-9166 1
4.8%
-4996 1
4.8%
-4963 1
4.8%
-3615 1
4.8%
-3539 1
4.8%
-3443 1
4.8%
-3195 1
4.8%
-2131 1
4.8%
-1686 1
4.8%
ValueCountFrequency (%)
6573 1
4.8%
4019 1
4.8%
3902 1
4.8%
3731 1
4.8%
1440 1
4.8%
1225 1
4.8%
309 1
4.8%
-247 1
4.8%
-743 1
4.8%
-1255 1
4.8%
Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1578.5238
Minimum136
Maximum4162
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T21:52:01.708683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum136
5-th percentile167
Q11017
median1340
Q32109
95-th percentile3174
Maximum4162
Range4026
Interquartile range (IQR)1092

Descriptive statistics

Standard deviation1021.0673
Coefficient of variation (CV)0.64684949
Kurtosis0.68038541
Mean1578.5238
Median Absolute Deviation (MAD)534
Skewness0.93024352
Sum33149
Variance1042578.5
MonotonicityNot monotonic
2023-12-12T21:52:01.879945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
167 1
 
4.8%
136 1
 
4.8%
4162 1
 
4.8%
556 1
 
4.8%
1972 1
 
4.8%
806 1
 
4.8%
1340 1
 
4.8%
1050 1
 
4.8%
1363 1
 
4.8%
1430 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
136 1
4.8%
167 1
4.8%
556 1
4.8%
806 1
4.8%
978 1
4.8%
1017 1
4.8%
1025 1
4.8%
1050 1
4.8%
1052 1
4.8%
1313 1
4.8%
ValueCountFrequency (%)
4162 1
4.8%
3174 1
4.8%
3031 1
4.8%
2664 1
4.8%
2254 1
4.8%
2109 1
4.8%
1972 1
4.8%
1550 1
4.8%
1430 1
4.8%
1363 1
4.8%
Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1367.381
Minimum114
Maximum4391
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T21:52:02.088474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum114
5-th percentile148
Q1789
median1289
Q31533
95-th percentile2666
Maximum4391
Range4277
Interquartile range (IQR)744

Descriptive statistics

Standard deviation933.06487
Coefficient of variation (CV)0.68237375
Kurtosis4.7671508
Mean1367.381
Median Absolute Deviation (MAD)500
Skewness1.719262
Sum28715
Variance870610.05
MonotonicityNot monotonic
2023-12-12T21:52:02.257680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
114 1
 
4.8%
148 1
 
4.8%
4391 1
 
4.8%
789 1
 
4.8%
1470 1
 
4.8%
699 1
 
4.8%
1304 1
 
4.8%
1289 1
 
4.8%
709 1
 
4.8%
1342 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
114 1
4.8%
148 1
4.8%
474 1
4.8%
699 1
4.8%
709 1
4.8%
789 1
4.8%
917 1
4.8%
1185 1
4.8%
1191 1
4.8%
1264 1
4.8%
ValueCountFrequency (%)
4391 1
4.8%
2666 1
4.8%
2188 1
4.8%
1910 1
4.8%
1830 1
4.8%
1533 1
4.8%
1470 1
4.8%
1342 1
4.8%
1304 1
4.8%
1302 1
4.8%

고가주택 필요경비 증감액
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-211.09524
Minimum-1264
Maximum250
Zeros0
Zeros (%)0.0%
Negative15
Negative (%)71.4%
Memory size321.0 B
2023-12-12T21:52:02.387637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1264
5-th percentile-1132
Q1-365
median-88
Q312
95-th percentile247
Maximum250
Range1514
Interquartile range (IQR)377

Descriptive statistics

Standard deviation424.40475
Coefficient of variation (CV)-2.0104894
Kurtosis1.114641
Mean-211.09524
Median Absolute Deviation (MAD)277
Skewness-1.1688916
Sum-4433
Variance180119.39
MonotonicityNot monotonic
2023-12-12T21:52:02.530465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
-53 1
 
4.8%
12 1
 
4.8%
229 1
 
4.8%
234 1
 
4.8%
-502 1
 
4.8%
-107 1
 
4.8%
-35 1
 
4.8%
239 1
 
4.8%
-654 1
 
4.8%
-88 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
-1264 1
4.8%
-1132 1
4.8%
-654 1
4.8%
-551 1
4.8%
-502 1
4.8%
-365 1
4.8%
-359 1
4.8%
-279 1
4.8%
-129 1
4.8%
-107 1
4.8%
ValueCountFrequency (%)
250 1
4.8%
247 1
4.8%
239 1
4.8%
234 1
4.8%
229 1
4.8%
12 1
4.8%
-35 1
4.8%
-53 1
4.8%
-61 1
4.8%
-65 1
4.8%
Distinct19
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20042.286
Minimum0
Maximum167919
Zeros3
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T21:52:02.666724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19966
median13439
Q317893
95-th percentile30297
Maximum167919
Range167919
Interquartile range (IQR)7927

Descriptive statistics

Standard deviation34628.64
Coefficient of variation (CV)1.727779
Kurtosis18.979403
Mean20042.286
Median Absolute Deviation (MAD)3527
Skewness4.2633472
Sum420888
Variance1.1991427 × 109
MonotonicityNot monotonic
2023-12-12T21:52:02.789406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 3
 
14.3%
7693 1
 
4.8%
167919 1
 
4.8%
14040 1
 
4.8%
19858 1
 
4.8%
17893 1
 
4.8%
30297 1
 
4.8%
20758 1
 
4.8%
18606 1
 
4.8%
13439 1
 
4.8%
Other values (9) 9
42.9%
ValueCountFrequency (%)
0 3
14.3%
7693 1
 
4.8%
9912 1
 
4.8%
9966 1
 
4.8%
10766 1
 
4.8%
12357 1
 
4.8%
12759 1
 
4.8%
13422 1
 
4.8%
13439 1
 
4.8%
13463 1
 
4.8%
ValueCountFrequency (%)
167919 1
4.8%
30297 1
4.8%
20758 1
4.8%
19858 1
4.8%
18606 1
4.8%
17893 1
4.8%
14100 1
4.8%
14040 1
4.8%
13640 1
4.8%
13463 1
4.8%
Distinct19
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19240.81
Minimum0
Maximum169521
Zeros3
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T21:52:02.908953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18585
median11835
Q316978
95-th percentile24949
Maximum169521
Range169521
Interquartile range (IQR)8393

Descriptive statistics

Standard deviation35098.44
Coefficient of variation (CV)1.8241665
Kurtosis19.214088
Mean19240.81
Median Absolute Deviation (MAD)4697
Skewness4.3001726
Sum404057
Variance1.2319005 × 109
MonotonicityNot monotonic
2023-12-12T21:52:03.053403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 3
 
14.3%
7138 1
 
4.8%
169521 1
 
4.8%
16540 1
 
4.8%
18333 1
 
4.8%
16978 1
 
4.8%
24949 1
 
4.8%
23549 1
 
4.8%
18629 1
 
4.8%
13267 1
 
4.8%
Other values (9) 9
42.9%
ValueCountFrequency (%)
0 3
14.3%
7138 1
 
4.8%
8496 1
 
4.8%
8585 1
 
4.8%
9746 1
 
4.8%
10059 1
 
4.8%
10071 1
 
4.8%
11162 1
 
4.8%
11835 1
 
4.8%
12120 1
 
4.8%
ValueCountFrequency (%)
169521 1
4.8%
24949 1
4.8%
23549 1
4.8%
18629 1
4.8%
18333 1
4.8%
16978 1
4.8%
16540 1
4.8%
13267 1
4.8%
13079 1
4.8%
12120 1
4.8%
Distinct19
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-801.2381
Minimum-5348
Maximum2790
Zeros3
Zeros (%)14.3%
Negative14
Negative (%)66.7%
Memory size321.0 B
2023-12-12T21:52:03.210780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-5348
5-th percentile-2938
Q1-1804
median-554
Q30
95-th percentile2500
Maximum2790
Range8138
Interquartile range (IQR)1804

Descriptive statistics

Standard deviation1848.5856
Coefficient of variation (CV)-2.3071614
Kurtosis1.070371
Mean-801.2381
Median Absolute Deviation (MAD)861
Skewness-0.17006045
Sum-16826
Variance3417268.7
MonotonicityNot monotonic
2023-12-12T21:52:03.350409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 3
 
14.3%
-554 1
 
4.8%
1602 1
 
4.8%
2500 1
 
4.8%
-1524 1
 
4.8%
-914 1
 
4.8%
-5348 1
 
4.8%
2790 1
 
4.8%
23 1
 
4.8%
-171 1
 
4.8%
Other values (9) 9
42.9%
ValueCountFrequency (%)
-5348 1
4.8%
-2938 1
4.8%
-2700 1
4.8%
-2286 1
4.8%
-2181 1
4.8%
-1804 1
4.8%
-1524 1
4.8%
-1415 1
4.8%
-1343 1
4.8%
-914 1
4.8%
ValueCountFrequency (%)
2790 1
 
4.8%
2500 1
 
4.8%
1602 1
 
4.8%
23 1
 
4.8%
0 3
14.3%
-171 1
 
4.8%
-220 1
 
4.8%
-343 1
 
4.8%
-554 1
 
4.8%
-914 1
 
4.8%

기타주택 자산건수
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1349.5714
Minimum411
Maximum2708
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T21:52:03.489294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum411
5-th percentile559
Q1853
median1072
Q31884
95-th percentile2374
Maximum2708
Range2297
Interquartile range (IQR)1031

Descriptive statistics

Standard deviation711.02585
Coefficient of variation (CV)0.52685307
Kurtosis-1.1502657
Mean1349.5714
Median Absolute Deviation (MAD)464
Skewness0.52177412
Sum28341
Variance505557.76
MonotonicityNot monotonic
2023-12-12T21:52:03.638485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
1808 1
 
4.8%
2264 1
 
4.8%
2374 1
 
4.8%
411 1
 
4.8%
559 1
 
4.8%
608 1
 
4.8%
621 1
 
4.8%
694 1
 
4.8%
853 1
 
4.8%
885 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
411 1
4.8%
559 1
4.8%
608 1
4.8%
621 1
4.8%
694 1
4.8%
853 1
4.8%
885 1
4.8%
902 1
4.8%
965 1
4.8%
1045 1
4.8%
ValueCountFrequency (%)
2708 1
4.8%
2374 1
4.8%
2303 1
4.8%
2264 1
4.8%
2239 1
4.8%
1884 1
4.8%
1808 1
4.8%
1725 1
4.8%
1273 1
4.8%
1148 1
4.8%
Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean367779.24
Minimum148176
Maximum1063129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T21:52:03.759225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum148176
5-th percentile175439
Q1226249
median272360
Q3468670
95-th percentile647225
Maximum1063129
Range914953
Interquartile range (IQR)242421

Descriptive statistics

Standard deviation218747.8
Coefficient of variation (CV)0.59478017
Kurtosis3.9385402
Mean367779.24
Median Absolute Deviation (MAD)75634
Skewness1.8082043
Sum7723364
Variance4.7850598 × 1010
MonotonicityNot monotonic
2023-12-12T21:52:03.907962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
342507 1
 
4.8%
468670 1
 
4.8%
1063129 1
 
4.8%
148176 1
 
4.8%
209628 1
 
4.8%
272360 1
 
4.8%
226249 1
 
4.8%
175439 1
 
4.8%
241943 1
 
4.8%
196726 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
148176 1
4.8%
175439 1
4.8%
196726 1
4.8%
209628 1
4.8%
221452 1
4.8%
226249 1
4.8%
237159 1
4.8%
241943 1
4.8%
243074 1
4.8%
247683 1
4.8%
ValueCountFrequency (%)
1063129 1
4.8%
647225 1
4.8%
598809 1
4.8%
574439 1
4.8%
526237 1
4.8%
468670 1
4.8%
430053 1
4.8%
365930 1
4.8%
342507 1
4.8%
286476 1
4.8%
Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean496732.81
Minimum189753
Maximum1283723
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T21:52:04.020729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189753
5-th percentile242533
Q1301874
median354379
Q3659519
95-th percentile906660
Maximum1283723
Range1093970
Interquartile range (IQR)357645

Descriptive statistics

Standard deviation279502.21
Coefficient of variation (CV)0.5626812
Kurtosis1.6306584
Mean496732.81
Median Absolute Deviation (MAD)111846
Skewness1.3480609
Sum10431389
Variance7.8121487 × 1010
MonotonicityNot monotonic
2023-12-12T21:52:04.125414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
509579 1
 
4.8%
659519 1
 
4.8%
1283723 1
 
4.8%
189753 1
 
4.8%
258156 1
 
4.8%
301874 1
 
4.8%
283200 1
 
4.8%
242533 1
 
4.8%
319453 1
 
4.8%
278551 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
189753 1
4.8%
242533 1
4.8%
258156 1
4.8%
278551 1
4.8%
283200 1
4.8%
301874 1
4.8%
314093 1
4.8%
319453 1
4.8%
334294 1
4.8%
346650 1
4.8%
ValueCountFrequency (%)
1283723 1
4.8%
906660 1
4.8%
854475 1
4.8%
797101 1
4.8%
692065 1
4.8%
659519 1
4.8%
580916 1
4.8%
509579 1
4.8%
490858 1
4.8%
433557 1
4.8%

기타주택 양도가액 증감액
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128953.57
Minimum29515
Maximum307851
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T21:52:04.240424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum29515
5-th percentile41577
Q177511
median109491
Q3167071
95-th percentile222662
Maximum307851
Range278336
Interquartile range (IQR)89560

Descriptive statistics

Standard deviation72203.952
Coefficient of variation (CV)0.55992208
Kurtosis0.17904129
Mean128953.57
Median Absolute Deviation (MAD)52540
Skewness0.73633451
Sum2708025
Variance5.2134107 × 109
MonotonicityNot monotonic
2023-12-12T21:52:04.351821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
167071 1
 
4.8%
190849 1
 
4.8%
220593 1
 
4.8%
41577 1
 
4.8%
48528 1
 
4.8%
29515 1
 
4.8%
56951 1
 
4.8%
67094 1
 
4.8%
77511 1
 
4.8%
81825 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
29515 1
4.8%
41577 1
4.8%
48528 1
4.8%
56951 1
4.8%
67094 1
4.8%
77511 1
4.8%
81825 1
4.8%
91220 1
4.8%
92641 1
4.8%
106696 1
4.8%
ValueCountFrequency (%)
307851 1
4.8%
222662 1
4.8%
220593 1
4.8%
207250 1
4.8%
190849 1
4.8%
167071 1
4.8%
165828 1
4.8%
150863 1
4.8%
147081 1
4.8%
124928 1
4.8%
Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean203987.76
Minimum49976
Maximum457937
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T21:52:04.478062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum49976
5-th percentile80348
Q1104014
median145354
Q3280009
95-th percentile435903
Maximum457937
Range407961
Interquartile range (IQR)175995

Descriptive statistics

Standard deviation127208.26
Coefficient of variation (CV)0.62360733
Kurtosis-0.71483698
Mean203987.76
Median Absolute Deviation (MAD)63074
Skewness0.77547279
Sum4283743
Variance1.6181943 × 1010
MonotonicityNot monotonic
2023-12-12T21:52:04.635545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
280009 1
 
4.8%
359445 1
 
4.8%
224525 1
 
4.8%
49976 1
 
4.8%
82280 1
 
4.8%
95613 1
 
4.8%
84960 1
 
4.8%
80348 1
 
4.8%
114120 1
 
4.8%
104014 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
49976 1
4.8%
80348 1
4.8%
82280 1
4.8%
84960 1
4.8%
95613 1
4.8%
104014 1
4.8%
114120 1
4.8%
126506 1
4.8%
132391 1
4.8%
137013 1
4.8%
ValueCountFrequency (%)
457937 1
4.8%
435903 1
4.8%
388884 1
4.8%
359445 1
4.8%
341905 1
4.8%
280009 1
4.8%
268545 1
4.8%
224525 1
4.8%
196703 1
4.8%
177312 1
4.8%
Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean278949.24
Minimum56590
Maximum658789
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T21:52:04.773482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum56590
5-th percentile91170
Q1142915
median214003
Q3414180
95-th percentile593788
Maximum658789
Range602199
Interquartile range (IQR)271265

Descriptive statistics

Standard deviation181651.02
Coefficient of variation (CV)0.65119739
Kurtosis-0.62253509
Mean278949.24
Median Absolute Deviation (MAD)110355
Skewness0.75325392
Sum5857934
Variance3.2997092 × 1010
MonotonicityNot monotonic
2023-12-12T21:52:04.948159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
414180 1
 
4.8%
494471 1
 
4.8%
274652 1
 
4.8%
56590 1
 
4.8%
91170 1
 
4.8%
105335 1
 
4.8%
99621 1
 
4.8%
103648 1
 
4.8%
142915 1
 
4.8%
149588 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
56590 1
4.8%
91170 1
4.8%
99621 1
4.8%
103648 1
4.8%
105335 1
4.8%
142915 1
4.8%
149588 1
4.8%
177984 1
4.8%
180245 1
4.8%
199209 1
4.8%
ValueCountFrequency (%)
658789 1
4.8%
593788 1
4.8%
543394 1
4.8%
494471 1
4.8%
457005 1
4.8%
414180 1
4.8%
359637 1
4.8%
274652 1
4.8%
274007 1
4.8%
267703 1
4.8%

기타주택 취득가액 증감액
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74961.524
Minimum6614
Maximum222885
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T21:52:05.101429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6614
5-th percentile8889
Q128796
median62196
Q3115100
95-th percentile154510
Maximum222885
Range216271
Interquartile range (IQR)86304

Descriptive statistics

Standard deviation57484.272
Coefficient of variation (CV)0.76685036
Kurtosis0.49126888
Mean74961.524
Median Absolute Deviation (MAD)38896
Skewness0.88803744
Sum1574192
Variance3.3044415 × 109
MonotonicityNot monotonic
2023-12-12T21:52:05.242018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
134171 1
 
4.8%
135027 1
 
4.8%
50127 1
 
4.8%
6614 1
 
4.8%
8889 1
 
4.8%
9721 1
 
4.8%
14661 1
 
4.8%
23300 1
 
4.8%
28796 1
 
4.8%
45574 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
6614 1
4.8%
8889 1
4.8%
9721 1
4.8%
14661 1
4.8%
23300 1
4.8%
28796 1
4.8%
45574 1
4.8%
47854 1
4.8%
50127 1
4.8%
51479 1
4.8%
ValueCountFrequency (%)
222885 1
4.8%
154510 1
4.8%
135851 1
4.8%
135027 1
4.8%
134171 1
4.8%
115100 1
4.8%
96695 1
4.8%
91092 1
4.8%
71001 1
4.8%
68649 1
4.8%
Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7900.381
Minimum2774
Maximum15538
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T21:52:05.379221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2774
5-th percentile3340
Q14239
median6382
Q311901
95-th percentile14465
Maximum15538
Range12764
Interquartile range (IQR)7662

Descriptive statistics

Standard deviation4349.9386
Coefficient of variation (CV)0.55059858
Kurtosis-1.2940421
Mean7900.381
Median Absolute Deviation (MAD)2663
Skewness0.57882805
Sum165908
Variance18921966
MonotonicityNot monotonic
2023-12-12T21:52:05.547039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
8708 1
 
4.8%
15538 1
 
4.8%
11752 1
 
4.8%
2774 1
 
4.8%
3711 1
 
4.8%
4239 1
 
4.8%
4726 1
 
4.8%
3719 1
 
4.8%
7768 1
 
4.8%
3340 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
2774 1
4.8%
3340 1
4.8%
3711 1
4.8%
3719 1
4.8%
4158 1
4.8%
4239 1
4.8%
4726 1
4.8%
4853 1
4.8%
4960 1
4.8%
5770 1
4.8%
ValueCountFrequency (%)
15538 1
4.8%
14465 1
4.8%
14309 1
4.8%
14203 1
4.8%
12173 1
4.8%
11901 1
4.8%
11752 1
4.8%
8708 1
4.8%
7768 1
4.8%
6459 1
4.8%
Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8235.1429
Minimum2783
Maximum16805
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T21:52:05.681472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2783
5-th percentile3831
Q14421
median6178
Q312846
95-th percentile15646
Maximum16805
Range14022
Interquartile range (IQR)8425

Descriptive statistics

Standard deviation4598.8575
Coefficient of variation (CV)0.55844296
Kurtosis-1.1091545
Mean8235.1429
Median Absolute Deviation (MAD)2187
Skewness0.68196594
Sum172938
Variance21149491
MonotonicityNot monotonic
2023-12-12T21:52:05.836367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
9255 1
 
4.8%
16805 1
 
4.8%
11009 1
 
4.8%
2783 1
 
4.8%
4046 1
 
4.8%
3831 1
 
4.8%
4421 1
 
4.8%
3991 1
 
4.8%
5552 1
 
4.8%
4215 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
2783 1
4.8%
3831 1
4.8%
3991 1
4.8%
4046 1
4.8%
4215 1
4.8%
4421 1
4.8%
4986 1
4.8%
4998 1
4.8%
5552 1
4.8%
6144 1
4.8%
ValueCountFrequency (%)
16805 1
4.8%
15646 1
4.8%
15412 1
4.8%
13843 1
4.8%
13266 1
4.8%
12846 1
4.8%
11009 1
4.8%
9255 1
4.8%
7260 1
4.8%
6451 1
4.8%

기타주택 필요경비 증감액
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean334.7619
Minimum-2217
Maximum2020
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)23.8%
Memory size321.0 B
2023-12-12T21:52:05.966762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-2217
5-th percentile-1463
Q110
median335
Q31181
95-th percentile1669
Maximum2020
Range4237
Interquartile range (IQR)1171

Descriptive statistics

Standard deviation1018.961
Coefficient of variation (CV)3.0438379
Kurtosis0.81700392
Mean334.7619
Median Absolute Deviation (MAD)640
Skewness-0.72245668
Sum7030
Variance1038281.5
MonotonicityNot monotonic
2023-12-12T21:52:06.427926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
547 1
 
4.8%
1267 1
 
4.8%
-743 1
 
4.8%
10 1
 
4.8%
335 1
 
4.8%
-408 1
 
4.8%
-305 1
 
4.8%
273 1
 
4.8%
-2217 1
 
4.8%
875 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
-2217 1
4.8%
-1463 1
4.8%
-743 1
4.8%
-408 1
4.8%
-305 1
4.8%
10 1
4.8%
26 1
4.8%
68 1
4.8%
145 1
4.8%
273 1
4.8%
ValueCountFrequency (%)
2020 1
4.8%
1669 1
4.8%
1365 1
4.8%
1267 1
4.8%
1209 1
4.8%
1181 1
4.8%
875 1
4.8%
802 1
4.8%
547 1
4.8%
374 1
4.8%
Distinct19
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32053.476
Minimum0
Maximum245651
Zeros3
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T21:52:06.581047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q115422
median20603
Q329491
95-th percentile50428
Maximum245651
Range245651
Interquartile range (IQR)14069

Descriptive statistics

Standard deviation50661.536
Coefficient of variation (CV)1.5805317
Kurtosis17.874717
Mean32053.476
Median Absolute Deviation (MAD)8213
Skewness4.0869731
Sum673123
Variance2.5665912 × 109
MonotonicityNot monotonic
2023-12-12T21:52:06.739339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 3
 
14.3%
9944 1
 
4.8%
245651 1
 
4.8%
29491 1
 
4.8%
35428 1
 
4.8%
50428 1
 
4.8%
40033 1
 
4.8%
27277 1
 
4.8%
33155 1
 
4.8%
24896 1
 
4.8%
Other values (9) 9
42.9%
ValueCountFrequency (%)
0 3
14.3%
9944 1
 
4.8%
13112 1
 
4.8%
15422 1
 
4.8%
16294 1
 
4.8%
16469 1
 
4.8%
17124 1
 
4.8%
20201 1
 
4.8%
20603 1
 
4.8%
24896 1
 
4.8%
ValueCountFrequency (%)
245651 1
4.8%
50428 1
4.8%
40033 1
4.8%
35428 1
4.8%
33155 1
4.8%
29491 1
4.8%
28816 1
4.8%
28779 1
4.8%
27277 1
4.8%
24896 1
4.8%
Distinct19
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39871.857
Minimum0
Maximum285596
Zeros3
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T21:52:06.887916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q120009
median29640
Q337940
95-th percentile54367
Maximum285596
Range285596
Interquartile range (IQR)17931

Descriptive statistics

Standard deviation58497.966
Coefficient of variation (CV)1.4671493
Kurtosis17.57103
Mean39871.857
Median Absolute Deviation (MAD)9631
Skewness4.0290971
Sum837309
Variance3.422012 × 109
MonotonicityNot monotonic
2023-12-12T21:52:07.041835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 3
 
14.3%
13868 1
 
4.8%
285596 1
 
4.8%
36204 1
 
4.8%
46836 1
 
4.8%
54367 1
 
4.8%
50816 1
 
4.8%
37098 1
 
4.8%
45798 1
 
4.8%
31062 1
 
4.8%
Other values (9) 9
42.9%
ValueCountFrequency (%)
0 3
14.3%
13868 1
 
4.8%
17726 1
 
4.8%
20009 1
 
4.8%
20506 1
 
4.8%
21379 1
 
4.8%
25250 1
 
4.8%
27063 1
 
4.8%
29640 1
 
4.8%
31062 1
 
4.8%
ValueCountFrequency (%)
285596 1
4.8%
54367 1
4.8%
50816 1
4.8%
46836 1
4.8%
45798 1
4.8%
37940 1
4.8%
37098 1
4.8%
36204 1
4.8%
36151 1
4.8%
31062 1
4.8%
Distinct19
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7818.2381
Minimum0
Maximum39964
Zeros3
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T21:52:07.182965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13946
median6714
Q39122
95-th percentile12638
Maximum39964
Range39964
Interquartile range (IQR)5176

Descriptive statistics

Standard deviation8208.6723
Coefficient of variation (CV)1.0499389
Kurtosis12.570129
Mean7818.2381
Median Absolute Deviation (MAD)2768
Skewness3.1676186
Sum164183
Variance67382301
MonotonicityNot monotonic
2023-12-12T21:52:07.311709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 3
 
14.3%
3922 1
 
4.8%
39964 1
 
4.8%
6714 1
 
4.8%
11405 1
 
4.8%
3946 1
 
4.8%
10782 1
 
4.8%
9817 1
 
4.8%
12638 1
 
4.8%
6165 1
 
4.8%
Other values (9) 9
42.9%
ValueCountFrequency (%)
0 3
14.3%
3540 1
 
4.8%
3922 1
 
4.8%
3946 1
 
4.8%
4613 1
 
4.8%
5083 1
 
4.8%
5084 1
 
4.8%
6165 1
 
4.8%
6714 1
 
4.8%
6860 1
 
4.8%
ValueCountFrequency (%)
39964 1
4.8%
12638 1
4.8%
11405 1
4.8%
10782 1
4.8%
9817 1
4.8%
9122 1
4.8%
9033 1
4.8%
8123 1
4.8%
7372 1
4.8%
6860 1
4.8%

기타건물 자산건수
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean318.57143
Minimum130
Maximum685
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T21:52:07.445518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum130
5-th percentile173
Q1223
median266
Q3409
95-th percentile561
Maximum685
Range555
Interquartile range (IQR)186

Descriptive statistics

Standard deviation143.45019
Coefficient of variation (CV)0.45029208
Kurtosis0.65157848
Mean318.57143
Median Absolute Deviation (MAD)65
Skewness1.1033191
Sum6690
Variance20577.957
MonotonicityNot monotonic
2023-12-12T21:52:07.590194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
223 1
 
4.8%
367 1
 
4.8%
685 1
 
4.8%
130 1
 
4.8%
173 1
 
4.8%
193 1
 
4.8%
231 1
 
4.8%
215 1
 
4.8%
238 1
 
4.8%
201 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
130 1
4.8%
173 1
4.8%
193 1
4.8%
201 1
4.8%
215 1
4.8%
223 1
4.8%
231 1
4.8%
238 1
4.8%
250 1
4.8%
259 1
4.8%
ValueCountFrequency (%)
685 1
4.8%
561 1
4.8%
510 1
4.8%
461 1
4.8%
447 1
4.8%
409 1
4.8%
367 1
4.8%
310 1
4.8%
291 1
4.8%
270 1
4.8%
Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89238.81
Minimum29543
Maximum230977
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T21:52:07.740472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum29543
5-th percentile49851
Q160032
median77131
Q3112098
95-th percentile138446
Maximum230977
Range201434
Interquartile range (IQR)52066

Descriptive statistics

Standard deviation43244.613
Coefficient of variation (CV)0.48459424
Kurtosis4.8767331
Mean89238.81
Median Absolute Deviation (MAD)17796
Skewness1.819297
Sum1874015
Variance1.8700965 × 109
MonotonicityNot monotonic
2023-12-12T21:52:07.882643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
50609 1
 
4.8%
86163 1
 
4.8%
230977 1
 
4.8%
29543 1
 
4.8%
59406 1
 
4.8%
77131 1
 
4.8%
79342 1
 
4.8%
76622 1
 
4.8%
67476 1
 
4.8%
60032 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
29543 1
4.8%
49851 1
4.8%
50609 1
4.8%
59335 1
4.8%
59406 1
4.8%
60032 1
4.8%
67476 1
4.8%
68588 1
4.8%
73700 1
4.8%
76622 1
4.8%
ValueCountFrequency (%)
230977 1
4.8%
138446 1
4.8%
129237 1
4.8%
121176 1
4.8%
117737 1
4.8%
112098 1
4.8%
100503 1
4.8%
86163 1
4.8%
86043 1
4.8%
79342 1
4.8%
Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean106371.33
Minimum29686
Maximum203245
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T21:52:08.018055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum29686
5-th percentile63357
Q174711
median92662
Q3117484
95-th percentile195305
Maximum203245
Range173559
Interquartile range (IQR)42773

Descriptive statistics

Standard deviation45752.178
Coefficient of variation (CV)0.43011755
Kurtosis0.032075468
Mean106371.33
Median Absolute Deviation (MAD)19407
Skewness0.82858309
Sum2233798
Variance2.0932618 × 109
MonotonicityNot monotonic
2023-12-12T21:52:08.152870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
74711 1
 
4.8%
110011 1
 
4.8%
203245 1
 
4.8%
29686 1
 
4.8%
63357 1
 
4.8%
99129 1
 
4.8%
92662 1
 
4.8%
73255 1
 
4.8%
69584 1
 
4.8%
74270 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
29686 1
4.8%
63357 1
4.8%
69584 1
4.8%
73255 1
4.8%
74270 1
4.8%
74711 1
4.8%
76384 1
4.8%
80787 1
4.8%
84573 1
4.8%
88175 1
4.8%
ValueCountFrequency (%)
203245 1
4.8%
195305 1
4.8%
170017 1
4.8%
169169 1
4.8%
145660 1
4.8%
117484 1
4.8%
114340 1
4.8%
110011 1
4.8%
101994 1
4.8%
99129 1
4.8%

기타건물 양도가액 증감액
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17132.667
Minimum-29562
Maximum66068
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)14.3%
Memory size321.0 B
2023-12-12T21:52:08.299412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-29562
5-th percentile-27732
Q12242
median15951
Q326534
95-th percentile47993
Maximum66068
Range95630
Interquartile range (IQR)24292

Descriptive statistics

Standard deviation23339.4
Coefficient of variation (CV)1.3622748
Kurtosis0.36546784
Mean17132.667
Median Absolute Deviation (MAD)13709
Skewness-0.096401867
Sum359786
Variance5.447276 × 108
MonotonicityNot monotonic
2023-12-12T21:52:08.423555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
24102 1
 
4.8%
23849 1
 
4.8%
-27732 1
 
4.8%
143 1
 
4.8%
3951 1
 
4.8%
21998 1
 
4.8%
13319 1
 
4.8%
-3367 1
 
4.8%
2109 1
 
4.8%
14239 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
-29562 1
4.8%
-27732 1
4.8%
-3367 1
4.8%
143 1
4.8%
2109 1
4.8%
2242 1
4.8%
3951 1
4.8%
12199 1
4.8%
13319 1
4.8%
14239 1
4.8%
ValueCountFrequency (%)
66068 1
4.8%
47993 1
4.8%
45157 1
4.8%
43784 1
4.8%
31571 1
4.8%
26534 1
4.8%
25238 1
4.8%
24102 1
4.8%
23849 1
4.8%
21998 1
4.8%
Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57306.429
Minimum15914
Maximum112293
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T21:52:08.546567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15914
5-th percentile28440
Q137928
median45153
Q378514
95-th percentile97303
Maximum112293
Range96379
Interquartile range (IQR)40586

Descriptive statistics

Standard deviation26795.739
Coefficient of variation (CV)0.46758696
Kurtosis-0.81529139
Mean57306.429
Median Absolute Deviation (MAD)12275
Skewness0.59576615
Sum1203435
Variance7.1801162 × 108
MonotonicityNot monotonic
2023-12-12T21:52:08.680093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
43490 1
 
4.8%
64576 1
 
4.8%
112293 1
 
4.8%
15914 1
 
4.8%
32878 1
 
4.8%
44925 1
 
4.8%
39968 1
 
4.8%
43313 1
 
4.8%
37928 1
 
4.8%
35811 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
15914 1
4.8%
28440 1
4.8%
32878 1
4.8%
35811 1
4.8%
36285 1
4.8%
37928 1
4.8%
39968 1
4.8%
43313 1
4.8%
43490 1
4.8%
44925 1
4.8%
ValueCountFrequency (%)
112293 1
4.8%
97303 1
4.8%
92649 1
4.8%
92063 1
4.8%
86574 1
4.8%
78514 1
4.8%
76811 1
4.8%
64576 1
4.8%
49370 1
4.8%
49177 1
4.8%
Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66768.524
Minimum14155
Maximum149279
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T21:52:08.830410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14155
5-th percentile31957
Q143375
median55106
Q381881
95-th percentile127197
Maximum149279
Range135124
Interquartile range (IQR)38506

Descriptive statistics

Standard deviation34849.785
Coefficient of variation (CV)0.52194931
Kurtosis0.22973426
Mean66768.524
Median Absolute Deviation (MAD)16979
Skewness0.93595432
Sum1402139
Variance1.2145075 × 109
MonotonicityNot monotonic
2023-12-12T21:52:08.973619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
62923 1
 
4.8%
81881 1
 
4.8%
90849 1
 
4.8%
14155 1
 
4.8%
31957 1
 
4.8%
47481 1
 
4.8%
44822 1
 
4.8%
38127 1
 
4.8%
37543 1
 
4.8%
43375 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
14155 1
4.8%
31957 1
4.8%
37543 1
4.8%
38127 1
4.8%
42512 1
4.8%
43375 1
4.8%
44822 1
4.8%
47481 1
4.8%
48380 1
4.8%
53335 1
4.8%
ValueCountFrequency (%)
149279 1
4.8%
127197 1
4.8%
116016 1
4.8%
111298 1
4.8%
90849 1
4.8%
81881 1
4.8%
79381 1
4.8%
70918 1
4.8%
62923 1
4.8%
55604 1
4.8%

기타건물 취득가액 증감액
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9462.0952
Minimum-30970
Maximum51975
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)28.6%
Memory size321.0 B
2023-12-12T21:52:09.122913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-30970
5-th percentile-21443
Q1-384
median7564
Q319434
95-th percentile34547
Maximum51975
Range82945
Interquartile range (IQR)19818

Descriptive statistics

Standard deviation18440.632
Coefficient of variation (CV)1.9488952
Kurtosis0.99584522
Mean9462.0952
Median Absolute Deviation (MAD)9324
Skewness0.07694447
Sum198704
Variance3.4005692 × 108
MonotonicityNot monotonic
2023-12-12T21:52:09.234982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
19434 1
 
4.8%
17305 1
 
4.8%
-21443 1
 
4.8%
-1760 1
 
4.8%
-921 1
 
4.8%
2555 1
 
4.8%
4855 1
 
4.8%
-5186 1
 
4.8%
-384 1
 
4.8%
7564 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
-30970 1
4.8%
-21443 1
4.8%
-5186 1
4.8%
-1760 1
4.8%
-921 1
4.8%
-384 1
4.8%
2555 1
4.8%
2570 1
4.8%
4855 1
4.8%
5736 1
4.8%
ValueCountFrequency (%)
51975 1
4.8%
34547 1
4.8%
32785 1
4.8%
23953 1
4.8%
21741 1
4.8%
19434 1
4.8%
17305 1
4.8%
14072 1
4.8%
12094 1
4.8%
8182 1
4.8%
Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2647.8095
Minimum562
Maximum6095
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T21:52:09.339375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum562
5-th percentile1009
Q11692
median2340
Q32882
95-th percentile5709
Maximum6095
Range5533
Interquartile range (IQR)1190

Descriptive statistics

Standard deviation1483.2089
Coefficient of variation (CV)0.56016452
Kurtosis0.55068801
Mean2647.8095
Median Absolute Deviation (MAD)648
Skewness1.1001098
Sum55604
Variance2199908.8
MonotonicityNot monotonic
2023-12-12T21:52:09.449342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
1692 1
 
4.8%
6095 1
 
4.8%
4491 1
 
4.8%
562 1
 
4.8%
1520 1
 
4.8%
1009 1
 
4.8%
2487 1
 
4.8%
1966 1
 
4.8%
1458 1
 
4.8%
2340 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
562 1
4.8%
1009 1
4.8%
1458 1
4.8%
1520 1
4.8%
1563 1
4.8%
1692 1
4.8%
1843 1
4.8%
1897 1
4.8%
1966 1
4.8%
2053 1
4.8%
ValueCountFrequency (%)
6095 1
4.8%
5709 1
4.8%
4634 1
4.8%
4491 1
4.8%
3783 1
4.8%
2882 1
4.8%
2731 1
4.8%
2488 1
4.8%
2487 1
4.8%
2401 1
4.8%
Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2825.5238
Minimum651
Maximum6595
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T21:52:09.600463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum651
5-th percentile1278
Q11852
median2274
Q33702
95-th percentile5623
Maximum6595
Range5944
Interquartile range (IQR)1850

Descriptive statistics

Standard deviation1475.798
Coefficient of variation (CV)0.52230952
Kurtosis0.89715301
Mean2825.5238
Median Absolute Deviation (MAD)911
Skewness1.0115209
Sum59336
Variance2177979.7
MonotonicityNot monotonic
2023-12-12T21:52:09.708607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
2510 1
 
4.8%
6595 1
 
4.8%
4001 1
 
4.8%
651 1
 
4.8%
1363 1
 
4.8%
1852 1
 
4.8%
2274 1
 
4.8%
1278 1
 
4.8%
2154 1
 
4.8%
2202 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
651 1
4.8%
1278 1
4.8%
1363 1
4.8%
1610 1
4.8%
1799 1
4.8%
1852 1
4.8%
1871 1
4.8%
1968 1
4.8%
2154 1
4.8%
2202 1
4.8%
ValueCountFrequency (%)
6595 1
4.8%
5623 1
4.8%
4135 1
4.8%
4012 1
4.8%
4001 1
4.8%
3702 1
4.8%
3405 1
4.8%
3330 1
4.8%
3001 1
4.8%
2510 1
4.8%
Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean177.52381
Minimum-1574
Maximum1004
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)38.1%
Memory size321.0 B
2023-12-12T21:52:09.835555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1574
5-th percentile-860
Q1-213
median229
Q3820
95-th percentile988
Maximum1004
Range2578
Interquartile range (IQR)1033

Descriptive statistics

Standard deviation703.80414
Coefficient of variation (CV)3.9645619
Kurtosis0.1979569
Mean177.52381
Median Absolute Deviation (MAD)588
Skewness-0.76002709
Sum3728
Variance495340.26
MonotonicityNot monotonic
2023-12-12T21:52:09.975577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
842 2
 
9.5%
817 1
 
4.8%
948 1
 
4.8%
-490 1
 
4.8%
89 1
 
4.8%
-156 1
 
4.8%
-213 1
 
4.8%
-688 1
 
4.8%
696 1
 
4.8%
-138 1
 
4.8%
Other values (10) 10
47.6%
ValueCountFrequency (%)
-1574 1
4.8%
-860 1
4.8%
-688 1
4.8%
-490 1
4.8%
-233 1
4.8%
-213 1
4.8%
-156 1
4.8%
-138 1
4.8%
70 1
4.8%
89 1
4.8%
ValueCountFrequency (%)
1004 1
4.8%
988 1
4.8%
948 1
4.8%
842 2
9.5%
820 1
4.8%
817 1
4.8%
696 1
4.8%
499 1
4.8%
236 1
4.8%
229 1
4.8%
Distinct19
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6119.6667
Minimum0
Maximum34231
Zeros3
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T21:52:10.084245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12559
median4406
Q37868
95-th percentile9924
Maximum34231
Range34231
Interquartile range (IQR)5309

Descriptive statistics

Standard deviation7148.493
Coefficient of variation (CV)1.168118
Kurtosis12.787678
Mean6119.6667
Median Absolute Deviation (MAD)2643
Skewness3.2420496
Sum128513
Variance51100952
MonotonicityNot monotonic
2023-12-12T21:52:10.216057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 3
 
14.3%
1763 1
 
4.8%
34231 1
 
4.8%
3913 1
 
4.8%
7445 1
 
4.8%
9355 1
 
4.8%
8882 1
 
4.8%
9090 1
 
4.8%
7868 1
 
4.8%
5587 1
 
4.8%
Other values (9) 9
42.9%
ValueCountFrequency (%)
0 3
14.3%
1763 1
 
4.8%
2163 1
 
4.8%
2559 1
 
4.8%
3824 1
 
4.8%
3913 1
 
4.8%
3957 1
 
4.8%
4315 1
 
4.8%
4406 1
 
4.8%
4414 1
 
4.8%
ValueCountFrequency (%)
34231 1
4.8%
9924 1
4.8%
9355 1
4.8%
9090 1
4.8%
8882 1
4.8%
7868 1
4.8%
7445 1
4.8%
5587 1
4.8%
4817 1
4.8%
4414 1
4.8%
Distinct19
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7515.381
Minimum0
Maximum32334
Zeros3
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T21:52:10.352438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13739
median7061
Q38994
95-th percentile14605
Maximum32334
Range32334
Interquartile range (IQR)5255

Descriptive statistics

Standard deviation6948.3331
Coefficient of variation (CV)0.92454835
Kurtosis7.8975021
Mean7515.381
Median Absolute Deviation (MAD)3127
Skewness2.350067
Sum157823
Variance48279332
MonotonicityNot monotonic
2023-12-12T21:52:10.484342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 3
 
14.3%
2800 1
 
4.8%
32334 1
 
4.8%
4440 1
 
4.8%
8994 1
 
4.8%
14605 1
 
4.8%
11339 1
 
4.8%
9861 1
 
4.8%
8208 1
 
4.8%
7061 1
 
4.8%
Other values (9) 9
42.9%
ValueCountFrequency (%)
0 3
14.3%
2800 1
 
4.8%
3551 1
 
4.8%
3739 1
 
4.8%
3934 1
 
4.8%
4440 1
 
4.8%
5707 1
 
4.8%
5886 1
 
4.8%
7061 1
 
4.8%
7117 1
 
4.8%
ValueCountFrequency (%)
32334 1
4.8%
14605 1
4.8%
12562 1
4.8%
11339 1
4.8%
9861 1
4.8%
8994 1
4.8%
8417 1
4.8%
8208 1
4.8%
7268 1
4.8%
7117 1
4.8%
Distinct19
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1395.7619
Minimum-1897
Maximum5250
Zeros3
Zeros (%)14.3%
Negative2
Negative (%)9.5%
Memory size321.0 B
2023-12-12T21:52:10.603102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1897
5-th percentile-23
Q1340
median1068
Q32457
95-th percentile4594
Maximum5250
Range7147
Interquartile range (IQR)2117

Descriptive statistics

Standard deviation1632.77
Coefficient of variation (CV)1.1698055
Kurtosis0.98187119
Mean1395.7619
Median Absolute Deviation (MAD)1068
Skewness0.63601713
Sum29311
Variance2665937.8
MonotonicityNot monotonic
2023-12-12T21:52:10.731016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 3
 
14.3%
1037 1
 
4.8%
-1897 1
 
4.8%
527 1
 
4.8%
1549 1
 
4.8%
5250 1
 
4.8%
2457 1
 
4.8%
770 1
 
4.8%
340 1
 
4.8%
1474 1
 
4.8%
Other values (9) 9
42.9%
ValueCountFrequency (%)
-1897 1
 
4.8%
-23 1
 
4.8%
0 3
14.3%
340 1
 
4.8%
527 1
 
4.8%
770 1
 
4.8%
992 1
 
4.8%
1037 1
 
4.8%
1068 1
 
4.8%
1293 1
 
4.8%
ValueCountFrequency (%)
5250 1
4.8%
4594 1
4.8%
2863 1
4.8%
2803 1
4.8%
2638 1
4.8%
2457 1
4.8%
1576 1
4.8%
1549 1
4.8%
1474 1
4.8%
1293 1
4.8%
Distinct14
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.380952
Minimum1
Maximum630
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T21:52:10.870949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median6
Q347
95-th percentile427
Maximum630
Range629
Interquartile range (IQR)43

Descriptive statistics

Standard deviation173.90557
Coefficient of variation (CV)2.0368193
Kurtosis4.7246213
Mean85.380952
Median Absolute Deviation (MAD)5
Skewness2.3543347
Sum1793
Variance30243.148
MonotonicityNot monotonic
2023-12-12T21:52:11.035115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
6 3
14.3%
1 3
14.3%
7 2
9.5%
5 2
9.5%
4 2
9.5%
630 1
 
4.8%
396 1
 
4.8%
427 1
 
4.8%
120 1
 
4.8%
56 1
 
4.8%
Other values (4) 4
19.0%
ValueCountFrequency (%)
1 3
14.3%
3 1
 
4.8%
4 2
9.5%
5 2
9.5%
6 3
14.3%
7 2
9.5%
30 1
 
4.8%
31 1
 
4.8%
47 1
 
4.8%
56 1
 
4.8%
ValueCountFrequency (%)
630 1
 
4.8%
427 1
 
4.8%
396 1
 
4.8%
120 1
 
4.8%
56 1
 
4.8%
47 1
 
4.8%
31 1
 
4.8%
30 1
 
4.8%
7 2
9.5%
6 3
14.3%
Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24067.571
Minimum97
Maximum194693
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T21:52:11.144190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum97
5-th percentile264
Q11333
median2111
Q311389
95-th percentile108946
Maximum194693
Range194596
Interquartile range (IQR)10056

Descriptive statistics

Standard deviation49659.493
Coefficient of variation (CV)2.0633363
Kurtosis6.8015829
Mean24067.571
Median Absolute Deviation (MAD)1847
Skewness2.608979
Sum505419
Variance2.4660652 × 109
MonotonicityNot monotonic
2023-12-12T21:52:11.271882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
194693 1
 
4.8%
94722 1
 
4.8%
13159 1
 
4.8%
516 1
 
4.8%
1440 1
 
4.8%
280 1
 
4.8%
264 1
 
4.8%
649 1
 
4.8%
97 1
 
4.8%
2111 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
97 1
4.8%
264 1
4.8%
280 1
4.8%
516 1
4.8%
649 1
4.8%
1333 1
4.8%
1440 1
4.8%
1529 1
4.8%
1775 1
4.8%
2065 1
4.8%
ValueCountFrequency (%)
194693 1
4.8%
108946 1
4.8%
94722 1
4.8%
47556 1
4.8%
13159 1
4.8%
11389 1
4.8%
9371 1
4.8%
6302 1
4.8%
4534 1
4.8%
2688 1
4.8%
Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34903.333
Minimum97
Maximum280109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T21:52:11.396617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum97
5-th percentile264
Q11843
median3078
Q312202
95-th percentile167151
Maximum280109
Range280012
Interquartile range (IQR)10359

Descriptive statistics

Standard deviation73250.732
Coefficient of variation (CV)2.0986744
Kurtosis6.1475678
Mean34903.333
Median Absolute Deviation (MAD)2814
Skewness2.5458196
Sum732970
Variance5.3656697 × 109
MonotonicityNot monotonic
2023-12-12T21:52:11.518064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
280109 1
 
4.8%
150522 1
 
4.8%
18904 1
 
4.8%
2983 1
 
4.8%
2265 1
 
4.8%
326 1
 
4.8%
264 1
 
4.8%
6484 1
 
4.8%
97 1
 
4.8%
1396 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
97 1
4.8%
264 1
4.8%
326 1
4.8%
1330 1
4.8%
1396 1
4.8%
1843 1
4.8%
2260 1
4.8%
2265 1
4.8%
2735 1
4.8%
2983 1
4.8%
ValueCountFrequency (%)
280109 1
4.8%
167151 1
4.8%
150522 1
4.8%
55031 1
4.8%
18904 1
4.8%
12202 1
4.8%
12026 1
4.8%
7170 1
4.8%
6484 1
4.8%
4794 1
4.8%
Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10836
Minimum-716
Maximum85416
Zeros2
Zeros (%)9.5%
Negative2
Negative (%)9.5%
Memory size321.0 B
2023-12-12T21:52:11.631723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-716
5-th percentile-3
Q148
median826
Q35744
95-th percentile58205
Maximum85416
Range86132
Interquartile range (IQR)5696

Descriptive statistics

Standard deviation23950.109
Coefficient of variation (CV)2.2102352
Kurtosis4.7504345
Mean10836
Median Absolute Deviation (MAD)826
Skewness2.3946994
Sum227556
Variance5.7360771 × 108
MonotonicityNot monotonic
2023-12-12T21:52:11.764334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 2
 
9.5%
85416 1
 
4.8%
195 1
 
4.8%
5744 1
 
4.8%
2468 1
 
4.8%
826 1
 
4.8%
46 1
 
4.8%
5835 1
 
4.8%
-716 1
 
4.8%
48 1
 
4.8%
Other values (10) 10
47.6%
ValueCountFrequency (%)
-716 1
4.8%
-3 1
4.8%
0 2
9.5%
46 1
4.8%
48 1
4.8%
195 1
4.8%
260 1
4.8%
314 1
4.8%
814 1
4.8%
826 1
4.8%
ValueCountFrequency (%)
85416 1
4.8%
58205 1
4.8%
55800 1
4.8%
7476 1
4.8%
5835 1
4.8%
5744 1
4.8%
2656 1
4.8%
2468 1
4.8%
1303 1
4.8%
869 1
4.8%
Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19445.857
Minimum45
Maximum181359
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T21:52:11.888327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum45
5-th percentile53
Q1344
median1284
Q37689
95-th percentile80262
Maximum181359
Range181314
Interquartile range (IQR)7345

Descriptive statistics

Standard deviation44219.281
Coefficient of variation (CV)2.2739693
Kurtosis9.1308965
Mean19445.857
Median Absolute Deviation (MAD)1231
Skewness2.9330843
Sum408363
Variance1.9553448 × 109
MonotonicityNot monotonic
2023-12-12T21:52:11.998885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
181359 1
 
4.8%
80262 1
 
4.8%
3482 1
 
4.8%
118 1
 
4.8%
145 1
 
4.8%
45 1
 
4.8%
66 1
 
4.8%
344 1
 
4.8%
53 1
 
4.8%
993 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
45 1
4.8%
53 1
4.8%
66 1
4.8%
118 1
4.8%
145 1
4.8%
344 1
4.8%
483 1
4.8%
627 1
4.8%
798 1
4.8%
993 1
4.8%
ValueCountFrequency (%)
181359 1
4.8%
80262 1
4.8%
79099 1
4.8%
36031 1
4.8%
7946 1
4.8%
7689 1
4.8%
3607 1
4.8%
3482 1
4.8%
2566 1
4.8%
1366 1
4.8%
Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28177.857
Minimum53
Maximum253250
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T21:52:12.121919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum53
5-th percentile66
Q1669
median1460
Q38853
95-th percentile129644
Maximum253250
Range253197
Interquartile range (IQR)8184

Descriptive statistics

Standard deviation63993.478
Coefficient of variation (CV)2.2710555
Kurtosis7.645676
Mean28177.857
Median Absolute Deviation (MAD)1382
Skewness2.7559623
Sum591735
Variance4.0951652 × 109
MonotonicityNot monotonic
2023-12-12T21:52:12.250770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
669 2
 
9.5%
253250 1
 
4.8%
1460 1
 
4.8%
7758 1
 
4.8%
974 1
 
4.8%
78 1
 
4.8%
66 1
 
4.8%
2032 1
 
4.8%
53 1
 
4.8%
1366 1
 
4.8%
Other values (10) 10
47.6%
ValueCountFrequency (%)
53 1
4.8%
66 1
4.8%
78 1
4.8%
626 1
4.8%
669 2
9.5%
888 1
4.8%
974 1
4.8%
1094 1
4.8%
1366 1
4.8%
1460 1
4.8%
ValueCountFrequency (%)
253250 1
4.8%
129644 1
4.8%
125417 1
4.8%
40465 1
4.8%
9628 1
4.8%
8853 1
4.8%
7758 1
4.8%
4001 1
4.8%
2744 1
4.8%
2032 1
4.8%
Distinct19
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8731.8095
Minimum-324
Maximum71891
Zeros3
Zeros (%)14.3%
Negative2
Negative (%)9.5%
Memory size321.0 B
2023-12-12T21:52:12.355733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-324
5-th percentile-1
Q132
median551
Q31939
95-th percentile49382
Maximum71891
Range72215
Interquartile range (IQR)1907

Descriptive statistics

Standard deviation20246.222
Coefficient of variation (CV)2.3186742
Kurtosis4.819459
Mean8731.8095
Median Absolute Deviation (MAD)551
Skewness2.4157853
Sum183368
Variance4.0990949 × 108
MonotonicityNot monotonic
2023-12-12T21:52:12.494401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 3
 
14.3%
71891 1
 
4.8%
49382 1
 
4.8%
4276 1
 
4.8%
551 1
 
4.8%
828 1
 
4.8%
32 1
 
4.8%
1688 1
 
4.8%
-324 1
 
4.8%
176 1
 
4.8%
Other values (9) 9
42.9%
ValueCountFrequency (%)
-324 1
 
4.8%
-1 1
 
4.8%
0 3
14.3%
32 1
 
4.8%
89 1
 
4.8%
176 1
 
4.8%
178 1
 
4.8%
394 1
 
4.8%
551 1
 
4.8%
610 1
 
4.8%
ValueCountFrequency (%)
71891 1
4.8%
49382 1
4.8%
46318 1
4.8%
4434 1
4.8%
4276 1
4.8%
1939 1
4.8%
1688 1
4.8%
907 1
4.8%
828 1
4.8%
610 1
4.8%
Distinct18
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean157.61905
Minimum0
Maximum1068
Zeros2
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T21:52:12.626411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median21
Q3168
95-th percentile662
Maximum1068
Range1068
Interquartile range (IQR)162

Descriptive statistics

Standard deviation275.18711
Coefficient of variation (CV)1.7459001
Kurtosis5.4926386
Mean157.61905
Median Absolute Deviation (MAD)21
Skewness2.3084319
Sum3310
Variance75727.948
MonotonicityNot monotonic
2023-12-12T21:52:12.746991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
6 2
 
9.5%
0 2
 
9.5%
15 2
 
9.5%
662 1
 
4.8%
86 1
 
4.8%
1 1
 
4.8%
14 1
 
4.8%
21 1
 
4.8%
42 1
 
4.8%
7 1
 
4.8%
Other values (8) 8
38.1%
ValueCountFrequency (%)
0 2
9.5%
1 1
4.8%
4 1
4.8%
6 2
9.5%
7 1
4.8%
14 1
4.8%
15 2
9.5%
21 1
4.8%
36 1
4.8%
42 1
4.8%
ValueCountFrequency (%)
1068 1
4.8%
662 1
4.8%
384 1
4.8%
378 1
4.8%
354 1
4.8%
168 1
4.8%
86 1
4.8%
43 1
4.8%
42 1
4.8%
36 1
4.8%
Distinct18
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean183.95238
Minimum0
Maximum1074
Zeros2
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T21:52:12.878537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median18
Q3214
95-th percentile931
Maximum1074
Range1074
Interquartile range (IQR)208

Descriptive statistics

Standard deviation320.25529
Coefficient of variation (CV)1.7409684
Kurtosis2.8919495
Mean183.95238
Median Absolute Deviation (MAD)16
Skewness1.9478351
Sum3863
Variance102563.45
MonotonicityNot monotonic
2023-12-12T21:52:13.066468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
6 3
 
14.3%
0 2
 
9.5%
931 1
 
4.8%
30 1
 
4.8%
79 1
 
4.8%
10 1
 
4.8%
18 1
 
4.8%
2 1
 
4.8%
16 1
 
4.8%
15 1
 
4.8%
Other values (8) 8
38.1%
ValueCountFrequency (%)
0 2
9.5%
2 1
 
4.8%
6 3
14.3%
7 1
 
4.8%
10 1
 
4.8%
15 1
 
4.8%
16 1
 
4.8%
18 1
 
4.8%
29 1
 
4.8%
30 1
 
4.8%
ValueCountFrequency (%)
1074 1
4.8%
931 1
4.8%
639 1
4.8%
385 1
4.8%
359 1
4.8%
214 1
4.8%
79 1
4.8%
37 1
4.8%
30 1
4.8%
29 1
4.8%
Distinct14
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.428571
Minimum-19
Maximum269
Zeros6
Zeros (%)28.6%
Negative7
Negative (%)33.3%
Memory size321.0 B
2023-12-12T21:52:13.201927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-19
5-th percentile-12
Q1-5
median0
Q35
95-th percentile255
Maximum269
Range288
Interquartile range (IQR)10

Descriptive statistics

Standard deviation79.601238
Coefficient of variation (CV)3.0119387
Kurtosis6.9362813
Mean26.428571
Median Absolute Deviation (MAD)5
Skewness2.8189677
Sum555
Variance6336.3571
MonotonicityNot monotonic
2023-12-12T21:52:13.665649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 6
28.6%
3 2
 
9.5%
-5 2
 
9.5%
269 1
 
4.8%
255 1
 
4.8%
5 1
 
4.8%
-19 1
 
4.8%
-7 1
 
4.8%
31 1
 
4.8%
46 1
 
4.8%
Other values (4) 4
19.0%
ValueCountFrequency (%)
-19 1
 
4.8%
-12 1
 
4.8%
-11 1
 
4.8%
-8 1
 
4.8%
-7 1
 
4.8%
-5 2
 
9.5%
0 6
28.6%
3 2
 
9.5%
5 1
 
4.8%
10 1
 
4.8%
ValueCountFrequency (%)
269 1
 
4.8%
255 1
 
4.8%
46 1
 
4.8%
31 1
 
4.8%
10 1
 
4.8%
5 1
 
4.8%
3 2
 
9.5%
0 6
28.6%
-5 2
 
9.5%
-7 1
 
4.8%
Distinct15
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.7619
Minimum0
Maximum1399
Zeros5
Zeros (%)23.8%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T21:52:13.796994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median20
Q336
95-th percentile306
Maximum1399
Range1399
Interquartile range (IQR)34

Descriptive statistics

Standard deviation304.54949
Coefficient of variation (CV)3.0224666
Kurtosis18.816719
Mean100.7619
Median Absolute Deviation (MAD)18
Skewness4.2755856
Sum2116
Variance92750.39
MonotonicityNot monotonic
2023-12-12T21:52:13.933962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 5
23.8%
7 2
 
9.5%
35 2
 
9.5%
58 1
 
4.8%
12 1
 
4.8%
2 1
 
4.8%
16 1
 
4.8%
29 1
 
4.8%
36 1
 
4.8%
20 1
 
4.8%
Other values (5) 5
23.8%
ValueCountFrequency (%)
0 5
23.8%
2 1
 
4.8%
7 2
 
9.5%
12 1
 
4.8%
16 1
 
4.8%
20 1
 
4.8%
29 1
 
4.8%
31 1
 
4.8%
35 2
 
9.5%
36 1
 
4.8%
ValueCountFrequency (%)
1399 1
4.8%
306 1
4.8%
63 1
4.8%
60 1
4.8%
58 1
4.8%
36 1
4.8%
35 2
9.5%
31 1
4.8%
29 1
4.8%
20 1
4.8%
Distinct16
Distinct (%)76.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean164.57143
Minimum0
Maximum1727
Zeros6
Zeros (%)28.6%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T21:52:14.080504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median15
Q359
95-th percentile698
Maximum1727
Range1727
Interquartile range (IQR)59

Descriptive statistics

Standard deviation400.504
Coefficient of variation (CV)2.4336181
Kurtosis12.390943
Mean164.57143
Median Absolute Deviation (MAD)15
Skewness3.3837434
Sum3456
Variance160403.46
MonotonicityNot monotonic
2023-12-12T21:52:14.214047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 6
28.6%
20 1
 
4.8%
1727 1
 
4.8%
452 1
 
4.8%
300 1
 
4.8%
39 1
 
4.8%
59 1
 
4.8%
698 1
 
4.8%
77 1
 
4.8%
12 1
 
4.8%
Other values (6) 6
28.6%
ValueCountFrequency (%)
0 6
28.6%
1 1
 
4.8%
2 1
 
4.8%
11 1
 
4.8%
12 1
 
4.8%
15 1
 
4.8%
17 1
 
4.8%
20 1
 
4.8%
26 1
 
4.8%
39 1
 
4.8%
ValueCountFrequency (%)
1727 1
4.8%
698 1
4.8%
452 1
4.8%
300 1
4.8%
77 1
4.8%
59 1
4.8%
39 1
4.8%
26 1
4.8%
20 1
4.8%
17 1
4.8%
Distinct13
Distinct (%)61.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.809524
Minimum-45
Maximum660
Zeros8
Zeros (%)38.1%
Negative5
Negative (%)23.8%
Memory size321.0 B
2023-12-12T21:52:14.351929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-45
5-th percentile-35
Q10
median0
Q310
95-th percentile385
Maximum660
Range705
Interquartile range (IQR)10

Descriptive statistics

Standard deviation175.52112
Coefficient of variation (CV)2.750704
Kurtosis6.6552574
Mean63.809524
Median Absolute Deviation (MAD)4
Skewness2.6406992
Sum1340
Variance30807.662
MonotonicityNot monotonic
2023-12-12T21:52:14.487004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 8
38.1%
10 2
 
9.5%
-45 1
 
4.8%
-11 1
 
4.8%
3 1
 
4.8%
-19 1
 
4.8%
48 1
 
4.8%
-35 1
 
4.8%
660 1
 
4.8%
4 1
 
4.8%
Other values (3) 3
 
14.3%
ValueCountFrequency (%)
-45 1
 
4.8%
-35 1
 
4.8%
-19 1
 
4.8%
-11 1
 
4.8%
-4 1
 
4.8%
0 8
38.1%
3 1
 
4.8%
4 1
 
4.8%
10 2
 
9.5%
48 1
 
4.8%
ValueCountFrequency (%)
660 1
 
4.8%
385 1
 
4.8%
334 1
 
4.8%
48 1
 
4.8%
10 2
 
9.5%
4 1
 
4.8%
3 1
 
4.8%
0 8
38.1%
-4 1
 
4.8%
-11 1
 
4.8%

Sample

귀속연도데이터생성일구분토지 자산건수토지 당초(신고) 양도가액토지 결정(경정) 양도가액토지 양도가액 증감액토지 당초(신고) 취득가액토지 결정(경정) 취득가액토지 취득가액 증감액토지 당초(신고) 필요경비토지 결정(경정) 필요경비토지 필요경비 증감액토지 당초(신고) 장기보유특별공제토지 결정(경정) 장기보유특별공제토지 장기보유특별공제 증감액고가주택 자산건수고가주택 당초(신고) 양도가액고가주택 결정(경정) 양도가액고가주택 양도가액 증감액고가주택 당초(신고) 취득가액고가주택 결정(경정) 취득가액고가주택 취득가액 증감액고가주택 당초(신고) 필요경비고가주택 결정(경정) 필요경비고가주택 필요경비 증감액고가주택 당초(신고) 장기보유특별공제고가주택 결정(경정) 장기보유특별공제고가주택 장기보유특별공제 증감액기타주택 자산건수기타주택 당초(신고) 양도가액기타주택 결정(경정) 양도가액기타주택 양도가액 증감액기타주책 당초(신고) 취득가액기타주택 결정(경정) 취득가액기타주택 취득가액 증감액기타주택 당초(신고) 필요경비기타주택 결정(경정) 필요경비기타주택 필요경비 증감액기타주택 당초(신고) 장기보유특별공제기타주택 결정(경정) 장기보유특별공제기타주택 장기보유특별공제 증감액기타건물 자산건수기타건물 당초(신고) 양도가액기타건물 결정(경정) 양도가액기타건물 양도가액 증감액기타건물 당초(신고) 취득가액기타건물 결정(경정) 취득가액기타건물 취득가액 증감액기타건물 당초(신고) 필요경비기타건물 결정(경정) 필요경비기타건물 필요경비 증감액기타건물 당초(신고) 장기보유특별공제기타건물 결정(경정) 장기보유특별공제기타건물 장기보유특별공제 증감액부동산에 관한 권리 자산건수부동산에 관한 권리 당초(신고) 양도가액부동산에 관한 권리 결정(경정 양도가액부동산에 관한 권리 양도가액 증감액부동산에 관한 권리 당초(신고) 취득가액부동산에 관한 권리 결정(경정) 취득가액부동산에 관한 권리 취득가액 증감액부동산에 관한 권리 당초(신고) 필요경비부동산에 관한 권리 결정(경정) 필요경비부동산에 관한 권리 필요경비 증감액부동산에 관한 권리 당초(신고) 장기보유특별공제부동산에 관한 권리 결정(경정) 장기보유특별공제부동산에 관한 권리 장기보유특별공제 증감액
020222023-06-301년 미만2880254622346367917441744902355606107018104217503647000192609820802-52951659413399-3195167114-53000180834250750957916707128000941418013417187089255547000223506097471124102434906292319434169225108170006301946932801098541618135925325071891662931269000
120222023-06-301년 이상35103386504231618451221553026676051230105329662-869000171952416795-2730125099067-34431361481200022644686706595191908493594454944711350271553816805126700036786163110011238496457681881173056095659549900039694722150522558008026212964449382384639255000
220222023-06-302년 이상4636470149580832110683279123345249661261418414736552000148137255127728-95278063271466-916613131185-12900027085988099066603078514359036587892228851446515646118100046110050314566045157785141112983278528823702820000427108946167151582057909912541746318106810745000
320222023-06-303년 이상510062415969422470066344729381142364131392916695276519195220142815244226914230674376012536212567130922542188-6576937138-55423036472258544752072504579375937881358511420315412120999441386839225101211761691694799392649127197345472401340510041763280010371204755655031747636031404654434378359-195812-45
420222023-06-304년 이상5218648503740324918213289833793415035816768169581892572929738400324522763524259414958120006126579657330312666-36599669746-2202239574439797101222662388884543394154510119011326613651311217726461356112923719530566068973031492795197537834012229216337391576561138912202814794688539073629-7121-11
520222023-06-305년 이상467175508485294897864385159422633374731874620432168638786457056908200196383207115107329485498873401931741910-12641364011835-180418845262376920651658283419054570051151001430912846-1463164692000935404471384461700173157192063116016239534634562398848175886106830937112026265676899628193935438531000
620222023-06-306년 이상391457957061946139890254166278535243691315211822-133038755411232368154169629161393-82368442879465-496326641533-11321235710071-2286172543005358091615086326854535963791092121731384316691712425250812340911209811434022427681179381257057094135-157439573934-2347630271708693607400139416821446220
720222023-06-307년 이상301845019448519535001178323197237189131139812469107037790401592368107113838109340-44984835344814-353921091830-2791275910059-27001273286476433557147081177312274007966954158617820201542220506508329168588807871219949370551065736156317992362559355199271529184331479888889463162610
820222023-06-308년 이상2693352599396059434601423051639622165747336034130034877383053424931136561137801245129152517122515501191-3591410011162-2938107224768335437910669614535421400368649496049862616294213795084310737001174844378449177709182174124883330842382484174594645344794260256627441784337-571710
920222023-06-309년 이상246940625444563439379152591171216186255109698818794759050982339169734977465411563548633356-21311052130225099128496-1415114836593049085812492819670326770371001645972608022881637940912226611773788175-295628657455604-3097027311871-860441457071293717753078130348310946107707113
귀속연도데이터생성일구분토지 자산건수토지 당초(신고) 양도가액토지 결정(경정) 양도가액토지 양도가액 증감액토지 당초(신고) 취득가액토지 결정(경정) 취득가액토지 취득가액 증감액토지 당초(신고) 필요경비토지 결정(경정) 필요경비토지 필요경비 증감액토지 당초(신고) 장기보유특별공제토지 결정(경정) 장기보유특별공제토지 장기보유특별공제 증감액고가주택 자산건수고가주택 당초(신고) 양도가액고가주택 결정(경정) 양도가액고가주택 양도가액 증감액고가주택 당초(신고) 취득가액고가주택 결정(경정) 취득가액고가주택 취득가액 증감액고가주택 당초(신고) 필요경비고가주택 결정(경정) 필요경비고가주택 필요경비 증감액고가주택 당초(신고) 장기보유특별공제고가주택 결정(경정) 장기보유특별공제고가주택 장기보유특별공제 증감액기타주택 자산건수기타주택 당초(신고) 양도가액기타주택 결정(경정) 양도가액기타주택 양도가액 증감액기타주책 당초(신고) 취득가액기타주택 결정(경정) 취득가액기타주택 취득가액 증감액기타주택 당초(신고) 필요경비기타주택 결정(경정) 필요경비기타주택 필요경비 증감액기타주택 당초(신고) 장기보유특별공제기타주택 결정(경정) 장기보유특별공제기타주택 장기보유특별공제 증감액기타건물 자산건수기타건물 당초(신고) 양도가액기타건물 결정(경정) 양도가액기타건물 양도가액 증감액기타건물 당초(신고) 취득가액기타건물 결정(경정) 취득가액기타건물 취득가액 증감액기타건물 당초(신고) 필요경비기타건물 결정(경정) 필요경비기타건물 필요경비 증감액기타건물 당초(신고) 장기보유특별공제기타건물 결정(경정) 장기보유특별공제기타건물 장기보유특별공제 증감액부동산에 관한 권리 자산건수부동산에 관한 권리 당초(신고) 양도가액부동산에 관한 권리 결정(경정 양도가액부동산에 관한 권리 양도가액 증감액부동산에 관한 권리 당초(신고) 취득가액부동산에 관한 권리 결정(경정) 취득가액부동산에 관한 권리 취득가액 증감액부동산에 관한 권리 당초(신고) 필요경비부동산에 관한 권리 결정(경정) 필요경비부동산에 관한 권리 필요경비 증감액부동산에 관한 권리 당초(신고) 장기보유특별공제부동산에 관한 권리 결정(경정) 장기보유특별공제부동산에 관한 권리 장기보유특별공제 증감액
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1220222023-06-3012년 이상23665704216232375281720868822373415046181901909490383719923768648546517459785-53892979826183-36151025474-551107668585-21819022430743342949122013239118024547854577061443742877936151737225986043101994159514515353335818218431610-23399241256226384268827354813661366015150360-35
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