Overview

Dataset statistics

Number of variables41
Number of observations26
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.4 KiB
Average record size in memory370.1 B

Variable types

Categorical2
Text2
Numeric36
DateTime1

Dataset

Description제주특별자치도 내에 외국인 토지 취득과 관련한 데이터로 주체별, 국적별, 취득원인별, 취득용도별 현황 정보를 월별로 제공합니다.
URLhttps://www.data.go.kr/data/15010289/fileData.do

Alerts

해당연도 has constant value ""Constant
데이터기준일자 has constant value ""Constant
1월 취득 필지 has 12 (46.2%) zerosZeros
1월 취득 면적(제곱미터) has 12 (46.2%) zerosZeros
1월 취득 금액(백만원) has 12 (46.2%) zerosZeros
2월 취득 필지 has 11 (42.3%) zerosZeros
2월 취득 면적(제곱미터) has 11 (42.3%) zerosZeros
2월 취득 금액(백만원) has 11 (42.3%) zerosZeros
3월 취득 필지 has 10 (38.5%) zerosZeros
3월 취득 면적(제곱미터) has 10 (38.5%) zerosZeros
3월 취득 금액(백만원) has 10 (38.5%) zerosZeros
4월 취득 필지 has 14 (53.8%) zerosZeros
4월 취득 면적(제곱미터) has 14 (53.8%) zerosZeros
4월 취득 금액(백만원) has 14 (53.8%) zerosZeros
5월 취득 필지 has 12 (46.2%) zerosZeros
5월 취득 면적(제곱미터) has 12 (46.2%) zerosZeros
5월 취득 금액(백만원) has 14 (53.8%) zerosZeros
6월 취득 필지 has 11 (42.3%) zerosZeros
6월 취득 면적(제곱미터) has 11 (42.3%) zerosZeros
6월 취득 금액(백만원) has 11 (42.3%) zerosZeros
7월 취득 필지 has 11 (42.3%) zerosZeros
7월 취득 면적(제곱미터) has 11 (42.3%) zerosZeros
7월 취득 금액(백만원) has 12 (46.2%) zerosZeros
8월 취득 필지 has 11 (42.3%) zerosZeros
8월 취득 면적(제곱미터) has 11 (42.3%) zerosZeros
8월 취득 금액(백만원) has 13 (50.0%) zerosZeros
9월 취득 필지 has 11 (42.3%) zerosZeros
9월 취득 면적(제곱미터) has 11 (42.3%) zerosZeros
9월 취득 금액(백만원) has 11 (42.3%) zerosZeros
10월 취득 필지 has 9 (34.6%) zerosZeros
10월 취득 면적(제곱미터) has 9 (34.6%) zerosZeros
10월 취득 금액(백만원) has 11 (42.3%) zerosZeros
11월 취득 필지 has 10 (38.5%) zerosZeros
11월 취득 면적(제곱미터) has 10 (38.5%) zerosZeros
11월 취득 금액(백만원) has 11 (42.3%) zerosZeros
12월 취득 필지 has 6 (23.1%) zerosZeros
12월 취득 면적(제곱미터) has 6 (23.1%) zerosZeros
12월 취득 금액(백만원) has 9 (34.6%) zerosZeros

Reproduction

Analysis started2023-12-12 16:48:57.413116
Analysis finished2023-12-12 16:48:57.852934
Duration0.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

해당연도
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
2022
26 

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 26
100.0%

Length

2023-12-13T01:48:57.924759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:48:58.029400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 26
100.0%

유형
Categorical

Distinct4
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Memory size340.0 B
국적별
주체별
취득용도별
취득원인별

Length

Max length5
Median length3
Mean length3.8461538
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국적별 8
30.8%
주체별 7
26.9%
취득용도별 7
26.9%
취득원인별 4
15.4%

Length

2023-12-13T01:48:58.180905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:48:58.349761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국적별 8
30.8%
주체별 7
26.9%
취득용도별 7
26.9%
취득원인별 4
15.4%

구분
Text

Distinct18
Distinct (%)69.2%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-13T01:48:58.575416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length2
Mean length3.5384615
Min length2

Characters and Unicode

Total characters92
Distinct characters46
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)53.8%

Sample

1st row개인
2nd row개인
3rd row개인
4th row법인
5th row법인
ValueCountFrequency (%)
개인 3
 
11.5%
신고 3
 
11.5%
법인 3
 
11.5%
주택용지 3
 
11.5%
중국 1
 
3.8%
공장용지 1
 
3.8%
상업용지 1
 
3.8%
레져용지 1
 
3.8%
허가 1
 
3.8%
그외국가 1
 
3.8%
Other values (8) 8
30.8%
2023-12-13T01:48:58.997762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6
 
6.5%
6
 
6.5%
6
 
6.5%
5
 
5.4%
4
 
4.3%
4
 
4.3%
4
 
4.3%
+ 4
 
4.3%
3
 
3.3%
3
 
3.3%
Other values (36) 47
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 86
93.5%
Math Symbol 4
 
4.3%
Close Punctuation 1
 
1.1%
Open Punctuation 1
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6
 
7.0%
6
 
7.0%
6
 
7.0%
5
 
5.8%
4
 
4.7%
4
 
4.7%
4
 
4.7%
3
 
3.5%
3
 
3.5%
3
 
3.5%
Other values (33) 42
48.8%
Math Symbol
ValueCountFrequency (%)
+ 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 86
93.5%
Common 6
 
6.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6
 
7.0%
6
 
7.0%
6
 
7.0%
5
 
5.8%
4
 
4.7%
4
 
4.7%
4
 
4.7%
3
 
3.5%
3
 
3.5%
3
 
3.5%
Other values (33) 42
48.8%
Common
ValueCountFrequency (%)
+ 4
66.7%
) 1
 
16.7%
( 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 86
93.5%
ASCII 6
 
6.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
6
 
7.0%
6
 
7.0%
6
 
7.0%
5
 
5.8%
4
 
4.7%
4
 
4.7%
4
 
4.7%
3
 
3.5%
3
 
3.5%
3
 
3.5%
Other values (33) 42
48.8%
ASCII
ValueCountFrequency (%)
+ 4
66.7%
) 1
 
16.7%
( 1
 
16.7%
Distinct13
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-13T01:48:59.198832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length2
Mean length2.9615385
Min length2

Characters and Unicode

Total characters77
Distinct characters27
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)46.2%

Sample

1st row미국교포
2nd row기타교포
3rd row순수외국인
4th row미국합작법인
5th row기타합작법인
ValueCountFrequency (%)
없음 14
53.8%
미국교포 1
 
3.8%
기타교포 1
 
3.8%
순수외국인 1
 
3.8%
미국합작법인 1
 
3.8%
기타합작법인 1
 
3.8%
순수외국법인 1
 
3.8%
계약 1
 
3.8%
계약외 1
 
3.8%
계속보유 1
 
3.8%
Other values (3) 3
 
11.5%
2023-12-13T01:48:59.662894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14
18.2%
14
18.2%
4
 
5.2%
4
 
5.2%
3
 
3.9%
3
 
3.9%
3
 
3.9%
3
 
3.9%
3
 
3.9%
2
 
2.6%
Other values (17) 24
31.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 77
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
14
18.2%
14
18.2%
4
 
5.2%
4
 
5.2%
3
 
3.9%
3
 
3.9%
3
 
3.9%
3
 
3.9%
3
 
3.9%
2
 
2.6%
Other values (17) 24
31.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 77
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
14
18.2%
14
18.2%
4
 
5.2%
4
 
5.2%
3
 
3.9%
3
 
3.9%
3
 
3.9%
3
 
3.9%
3
 
3.9%
2
 
2.6%
Other values (17) 24
31.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 77
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
14
18.2%
14
18.2%
4
 
5.2%
4
 
5.2%
3
 
3.9%
3
 
3.9%
3
 
3.9%
3
 
3.9%
3
 
3.9%
2
 
2.6%
Other values (17) 24
31.2%

1월 취득 필지
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)34.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2
Minimum0
Maximum13
Zeros12
Zeros (%)46.2%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T01:48:59.924230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32.75
95-th percentile7.75
Maximum13
Range13
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation3.1622777
Coefficient of variation (CV)1.5811388
Kurtosis5.1788522
Mean2
Median Absolute Deviation (MAD)1
Skewness2.2034751
Sum52
Variance10
MonotonicityNot monotonic
2023-12-13T01:49:00.178557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 12
46.2%
1 5
19.2%
3 2
 
7.7%
2 2
 
7.7%
8 1
 
3.8%
5 1
 
3.8%
4 1
 
3.8%
13 1
 
3.8%
7 1
 
3.8%
ValueCountFrequency (%)
0 12
46.2%
1 5
19.2%
2 2
 
7.7%
3 2
 
7.7%
4 1
 
3.8%
5 1
 
3.8%
7 1
 
3.8%
8 1
 
3.8%
13 1
 
3.8%
ValueCountFrequency (%)
13 1
 
3.8%
8 1
 
3.8%
7 1
 
3.8%
5 1
 
3.8%
4 1
 
3.8%
3 2
 
7.7%
2 2
 
7.7%
1 5
19.2%
0 12
46.2%

1월 취득 면적(제곱미터)
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3233.2692
Minimum0
Maximum21017
Zeros12
Zeros (%)46.2%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T01:49:00.365671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median10
Q3119
95-th percentile20796.5
Maximum21017
Range21017
Interquartile range (IQR)119

Descriptive statistics

Standard deviation7450.6953
Coefficient of variation (CV)2.3043844
Kurtosis2.3628774
Mean3233.2692
Median Absolute Deviation (MAD)10
Skewness2.0366596
Sum84065
Variance55512861
MonotonicityNot monotonic
2023-12-13T01:49:00.514415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 12
46.2%
119 2
 
7.7%
10 2
 
7.7%
57 1
 
3.8%
20840 1
 
3.8%
18768 1
 
3.8%
77 1
 
3.8%
2052 1
 
3.8%
99 1
 
3.8%
21017 1
 
3.8%
Other values (3) 3
 
11.5%
ValueCountFrequency (%)
0 12
46.2%
10 2
 
7.7%
57 1
 
3.8%
77 1
 
3.8%
99 1
 
3.8%
107 1
 
3.8%
119 2
 
7.7%
124 1
 
3.8%
2052 1
 
3.8%
18768 1
 
3.8%
ValueCountFrequency (%)
21017 1
3.8%
20840 1
3.8%
20666 1
3.8%
18768 1
3.8%
2052 1
3.8%
124 1
3.8%
119 2
7.7%
107 1
3.8%
99 1
3.8%
77 1
3.8%

1월 취득 금액(백만원)
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)53.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean529.84615
Minimum0
Maximum3444
Zeros12
Zeros (%)46.2%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T01:49:00.650689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median92.5
Q3739.5
95-th percentile1938.5
Maximum3444
Range3444
Interquartile range (IQR)739.5

Descriptive statistics

Standard deviation830.50778
Coefficient of variation (CV)1.5674508
Kurtosis5.2978038
Mean529.84615
Median Absolute Deviation (MAD)92.5
Skewness2.1821566
Sum13776
Variance689743.18
MonotonicityNot monotonic
2023-12-13T01:49:00.836785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 12
46.2%
506 2
 
7.7%
1013 1
 
3.8%
1925 1
 
3.8%
699 1
 
3.8%
170 1
 
3.8%
530 1
 
3.8%
1277 1
 
3.8%
15 1
 
3.8%
753 1
 
3.8%
Other values (4) 4
 
15.4%
ValueCountFrequency (%)
0 12
46.2%
15 1
 
3.8%
170 1
 
3.8%
205 1
 
3.8%
506 2
 
7.7%
530 1
 
3.8%
699 1
 
3.8%
753 1
 
3.8%
790 1
 
3.8%
1013 1
 
3.8%
ValueCountFrequency (%)
3444 1
3.8%
1943 1
3.8%
1925 1
3.8%
1277 1
3.8%
1013 1
3.8%
790 1
3.8%
753 1
3.8%
699 1
3.8%
530 1
3.8%
506 2
7.7%

2월 취득 필지
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)46.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.3846154
Minimum0
Maximum35
Zeros11
Zeros (%)42.3%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T01:49:01.011987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q37.75
95-th percentile24.25
Maximum35
Range35
Interquartile range (IQR)7.75

Descriptive statistics

Standard deviation8.8502064
Coefficient of variation (CV)1.6436098
Kurtosis5.0322739
Mean5.3846154
Median Absolute Deviation (MAD)1
Skewness2.2484934
Sum140
Variance78.326154
MonotonicityNot monotonic
2023-12-13T01:49:01.189437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 11
42.3%
1 3
 
11.5%
4 2
 
7.7%
8 2
 
7.7%
7 1
 
3.8%
27 1
 
3.8%
2 1
 
3.8%
16 1
 
3.8%
35 1
 
3.8%
9 1
 
3.8%
Other values (2) 2
 
7.7%
ValueCountFrequency (%)
0 11
42.3%
1 3
 
11.5%
2 1
 
3.8%
3 1
 
3.8%
4 2
 
7.7%
7 1
 
3.8%
8 2
 
7.7%
9 1
 
3.8%
14 1
 
3.8%
16 1
 
3.8%
ValueCountFrequency (%)
35 1
3.8%
27 1
3.8%
16 1
3.8%
14 1
3.8%
9 1
3.8%
8 2
7.7%
7 1
3.8%
4 2
7.7%
3 1
3.8%
2 1
3.8%

2월 취득 면적(제곱미터)
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)61.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean417.80769
Minimum0
Maximum2716
Zeros11
Zeros (%)42.3%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T01:49:01.357541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median118
Q3445
95-th percentile1928.5
Maximum2716
Range2716
Interquartile range (IQR)445

Descriptive statistics

Standard deviation693.14449
Coefficient of variation (CV)1.6590037
Kurtosis4.8689684
Mean417.80769
Median Absolute Deviation (MAD)118
Skewness2.2562427
Sum10863
Variance480449.28
MonotonicityNot monotonic
2023-12-13T01:49:01.524246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 11
42.3%
86 1
 
3.8%
142 1
 
3.8%
314 1
 
3.8%
182 1
 
3.8%
458 1
 
3.8%
1411 1
 
3.8%
350 1
 
3.8%
2716 1
 
3.8%
1113 1
 
3.8%
Other values (6) 6
23.1%
ValueCountFrequency (%)
0 11
42.3%
86 1
 
3.8%
94 1
 
3.8%
142 1
 
3.8%
182 1
 
3.8%
233 1
 
3.8%
314 1
 
3.8%
350 1
 
3.8%
406 1
 
3.8%
458 1
 
3.8%
ValueCountFrequency (%)
2716 1
3.8%
2101 1
3.8%
1411 1
3.8%
1113 1
3.8%
728 1
3.8%
529 1
3.8%
458 1
3.8%
406 1
3.8%
350 1
3.8%
314 1
3.8%

2월 취득 금액(백만원)
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)61.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1286.7692
Minimum0
Maximum8364
Zeros11
Zeros (%)42.3%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T01:49:01.702990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median275
Q31888
95-th percentile5728
Maximum8364
Range8364
Interquartile range (IQR)1888

Descriptive statistics

Standard deviation2080.5686
Coefficient of variation (CV)1.6168934
Kurtosis5.5179904
Mean1286.7692
Median Absolute Deviation (MAD)275
Skewness2.3095741
Sum33456
Variance4328765.9
MonotonicityNot monotonic
2023-12-13T01:49:01.875030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 11
42.3%
350 1
 
3.8%
700 1
 
3.8%
2542 1
 
3.8%
200 1
 
3.8%
1995 1
 
3.8%
1434 1
 
3.8%
2193 1
 
3.8%
8364 1
 
3.8%
3571 1
 
3.8%
Other values (6) 6
23.1%
ValueCountFrequency (%)
0 11
42.3%
80 1
 
3.8%
200 1
 
3.8%
350 1
 
3.8%
700 1
 
3.8%
730 1
 
3.8%
1070 1
 
3.8%
1434 1
 
3.8%
1567 1
 
3.8%
1995 1
 
3.8%
ValueCountFrequency (%)
8364 1
3.8%
6447 1
3.8%
3571 1
3.8%
2542 1
3.8%
2213 1
3.8%
2193 1
3.8%
1995 1
3.8%
1567 1
3.8%
1434 1
3.8%
1070 1
3.8%

3월 취득 필지
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)46.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.0769231
Minimum0
Maximum41
Zeros10
Zeros (%)38.5%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T01:49:02.050837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q39
95-th percentile29.75
Maximum41
Range41
Interquartile range (IQR)9

Descriptive statistics

Standard deviation11.110079
Coefficient of variation (CV)1.5699024
Kurtosis2.9000875
Mean7.0769231
Median Absolute Deviation (MAD)2
Skewness1.8827793
Sum184
Variance123.43385
MonotonicityNot monotonic
2023-12-13T01:49:02.225893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 10
38.5%
3 3
 
11.5%
6 2
 
7.7%
1 2
 
7.7%
2 2
 
7.7%
10 1
 
3.8%
30 1
 
3.8%
18 1
 
3.8%
17 1
 
3.8%
41 1
 
3.8%
Other values (2) 2
 
7.7%
ValueCountFrequency (%)
0 10
38.5%
1 2
 
7.7%
2 2
 
7.7%
3 3
 
11.5%
6 2
 
7.7%
10 1
 
3.8%
12 1
 
3.8%
17 1
 
3.8%
18 1
 
3.8%
29 1
 
3.8%
ValueCountFrequency (%)
41 1
 
3.8%
30 1
 
3.8%
29 1
 
3.8%
18 1
 
3.8%
17 1
 
3.8%
12 1
 
3.8%
10 1
 
3.8%
6 2
7.7%
3 3
11.5%
2 2
7.7%

3월 취득 면적(제곱미터)
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)65.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2866.5385
Minimum0
Maximum17308
Zeros10
Zeros (%)38.5%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T01:49:02.387884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median242
Q31679.25
95-th percentile16714.25
Maximum17308
Range17308
Interquartile range (IQR)1679.25

Descriptive statistics

Standard deviation5756.1126
Coefficient of variation (CV)2.008036
Kurtosis2.4184548
Mean2866.5385
Median Absolute Deviation (MAD)242
Skewness2.0091778
Sum74530
Variance33132832
MonotonicityNot monotonic
2023-12-13T01:49:02.534467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 10
38.5%
15803 1
 
3.8%
3117 1
 
3.8%
17308 1
 
3.8%
75 1
 
3.8%
714 1
 
3.8%
536 1
 
3.8%
13515 1
 
3.8%
2001 1
 
3.8%
616 1
 
3.8%
Other values (7) 7
26.9%
ValueCountFrequency (%)
0 10
38.5%
57 1
 
3.8%
75 1
 
3.8%
127 1
 
3.8%
357 1
 
3.8%
457 1
 
3.8%
536 1
 
3.8%
616 1
 
3.8%
661 1
 
3.8%
714 1
 
3.8%
ValueCountFrequency (%)
17308 1
3.8%
17018 1
3.8%
15803 1
3.8%
13515 1
3.8%
3117 1
3.8%
2168 1
3.8%
2001 1
3.8%
714 1
3.8%
661 1
3.8%
616 1
3.8%

3월 취득 금액(백만원)
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)61.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean818.76923
Minimum0
Maximum4948
Zeros10
Zeros (%)38.5%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T01:49:02.668055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median210
Q31391.25
95-th percentile2801.75
Maximum4948
Range4948
Interquartile range (IQR)1391.25

Descriptive statistics

Standard deviation1211.8962
Coefficient of variation (CV)1.4801438
Kurtosis4.3151734
Mean818.76923
Median Absolute Deviation (MAD)210
Skewness1.9822762
Sum21288
Variance1468692.4
MonotonicityNot monotonic
2023-12-13T01:49:02.811393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 10
38.5%
210 2
 
7.7%
1536 1
 
3.8%
2372 1
 
3.8%
425 1
 
3.8%
453 1
 
3.8%
2072 1
 
3.8%
164 1
 
3.8%
4948 1
 
3.8%
784 1
 
3.8%
Other values (6) 6
23.1%
ValueCountFrequency (%)
0 10
38.5%
150 1
 
3.8%
164 1
 
3.8%
210 2
 
7.7%
425 1
 
3.8%
453 1
 
3.8%
502 1
 
3.8%
784 1
 
3.8%
957 1
 
3.8%
1536 1
 
3.8%
ValueCountFrequency (%)
4948 1
3.8%
2945 1
3.8%
2372 1
3.8%
2072 1
3.8%
1967 1
3.8%
1593 1
3.8%
1536 1
3.8%
957 1
3.8%
784 1
3.8%
502 1
3.8%

4월 취득 필지
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)42.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.769231
Minimum0
Maximum83
Zeros14
Zeros (%)53.8%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T01:49:02.934010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q313.5
95-th percentile63.75
Maximum83
Range83
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation24.557374
Coefficient of variation (CV)1.9231678
Kurtosis2.5076808
Mean12.769231
Median Absolute Deviation (MAD)0
Skewness1.9460154
Sum332
Variance603.06462
MonotonicityNot monotonic
2023-12-13T01:49:03.068067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 14
53.8%
1 2
 
7.7%
3 2
 
7.7%
17 1
 
3.8%
2 1
 
3.8%
64 1
 
3.8%
18 1
 
3.8%
63 1
 
3.8%
83 1
 
3.8%
58 1
 
3.8%
ValueCountFrequency (%)
0 14
53.8%
1 2
 
7.7%
2 1
 
3.8%
3 2
 
7.7%
17 1
 
3.8%
18 1
 
3.8%
19 1
 
3.8%
58 1
 
3.8%
63 1
 
3.8%
64 1
 
3.8%
ValueCountFrequency (%)
83 1
3.8%
64 1
3.8%
63 1
3.8%
58 1
3.8%
19 1
3.8%
18 1
3.8%
17 1
3.8%
3 2
7.7%
2 1
3.8%
1 2
7.7%

4월 취득 면적(제곱미터)
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5139.0769
Minimum0
Maximum33404
Zeros14
Zeros (%)53.8%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T01:49:03.221483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3888.75
95-th percentile29621.25
Maximum33404
Range33404
Interquartile range (IQR)888.75

Descriptive statistics

Standard deviation10401.986
Coefficient of variation (CV)2.0240962
Kurtosis2.5246417
Mean5139.0769
Median Absolute Deviation (MAD)0
Skewness1.9497794
Sum133616
Variance1.0820131 × 108
MonotonicityNot monotonic
2023-12-13T01:49:03.385465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 14
53.8%
22972 1
 
3.8%
315 1
 
3.8%
10117 1
 
3.8%
22986 1
 
3.8%
10132 1
 
3.8%
28 1
 
3.8%
258 1
 
3.8%
33404 1
 
3.8%
132 1
 
3.8%
Other values (3) 3
 
11.5%
ValueCountFrequency (%)
0 14
53.8%
28 1
 
3.8%
132 1
 
3.8%
258 1
 
3.8%
315 1
 
3.8%
381 1
 
3.8%
1058 1
 
3.8%
10117 1
 
3.8%
10132 1
 
3.8%
22972 1
 
3.8%
ValueCountFrequency (%)
33404 1
3.8%
31833 1
3.8%
22986 1
3.8%
22972 1
3.8%
10132 1
3.8%
10117 1
3.8%
1058 1
3.8%
381 1
3.8%
315 1
3.8%
258 1
3.8%

4월 취득 금액(백만원)
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean950.34615
Minimum0
Maximum6177
Zeros14
Zeros (%)53.8%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T01:49:03.513755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3930.5
95-th percentile5175.5
Maximum6177
Range6177
Interquartile range (IQR)930.5

Descriptive statistics

Standard deviation1788.661
Coefficient of variation (CV)1.8821153
Kurtosis3.4089333
Mean950.34615
Median Absolute Deviation (MAD)0
Skewness2.1153909
Sum24709
Variance3199308.2
MonotonicityNot monotonic
2023-12-13T01:49:03.661542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 14
53.8%
777 1
 
3.8%
445 1
 
3.8%
4955 1
 
3.8%
788 1
 
3.8%
5249 1
 
3.8%
95 1
 
3.8%
45 1
 
3.8%
6177 1
 
3.8%
985 1
 
3.8%
Other values (3) 3
 
11.5%
ValueCountFrequency (%)
0 14
53.8%
45 1
 
3.8%
95 1
 
3.8%
445 1
 
3.8%
777 1
 
3.8%
788 1
 
3.8%
978 1
 
3.8%
985 1
 
3.8%
1414 1
 
3.8%
2801 1
 
3.8%
ValueCountFrequency (%)
6177 1
3.8%
5249 1
3.8%
4955 1
3.8%
2801 1
3.8%
1414 1
3.8%
985 1
3.8%
978 1
3.8%
788 1
3.8%
777 1
3.8%
445 1
3.8%

5월 취득 필지
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)34.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.6923077
Minimum0
Maximum22
Zeros12
Zeros (%)46.2%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T01:49:03.810735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35.25
95-th percentile14
Maximum22
Range22
Interquartile range (IQR)5.25

Descriptive statistics

Standard deviation5.739472
Coefficient of variation (CV)1.5544403
Kurtosis3.0918163
Mean3.6923077
Median Absolute Deviation (MAD)1
Skewness1.8337818
Sum96
Variance32.941538
MonotonicityNot monotonic
2023-12-13T01:49:03.941290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 12
46.2%
1 3
 
11.5%
3 2
 
7.7%
9 2
 
7.7%
11 2
 
7.7%
2 2
 
7.7%
6 1
 
3.8%
15 1
 
3.8%
22 1
 
3.8%
ValueCountFrequency (%)
0 12
46.2%
1 3
 
11.5%
2 2
 
7.7%
3 2
 
7.7%
6 1
 
3.8%
9 2
 
7.7%
11 2
 
7.7%
15 1
 
3.8%
22 1
 
3.8%
ValueCountFrequency (%)
22 1
 
3.8%
15 1
 
3.8%
11 2
 
7.7%
9 2
 
7.7%
6 1
 
3.8%
3 2
 
7.7%
2 2
 
7.7%
1 3
 
11.5%
0 12
46.2%

5월 취득 면적(제곱미터)
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)57.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2616.2308
Minimum0
Maximum15960
Zeros12
Zeros (%)46.2%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T01:49:04.082810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median17
Q3740
95-th percentile15355.5
Maximum15960
Range15960
Interquartile range (IQR)740

Descriptive statistics

Standard deviation5348.0242
Coefficient of variation (CV)2.0441714
Kurtosis2.2394115
Mean2616.2308
Median Absolute Deviation (MAD)17
Skewness1.9566677
Sum68022
Variance28601363
MonotonicityNot monotonic
2023-12-13T01:49:04.230728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 12
46.2%
12532 1
 
3.8%
40 1
 
3.8%
4434 1
 
3.8%
15960 1
 
3.8%
24 1
 
3.8%
278 1
 
3.8%
743 1
 
3.8%
14424 1
 
3.8%
10 1
 
3.8%
Other values (5) 5
19.2%
ValueCountFrequency (%)
0 12
46.2%
10 1
 
3.8%
24 1
 
3.8%
40 1
 
3.8%
58 1
 
3.8%
278 1
 
3.8%
550 1
 
3.8%
731 1
 
3.8%
743 1
 
3.8%
2572 1
 
3.8%
ValueCountFrequency (%)
15960 1
3.8%
15666 1
3.8%
14424 1
3.8%
12532 1
3.8%
4434 1
3.8%
2572 1
3.8%
743 1
3.8%
731 1
3.8%
550 1
3.8%
278 1
3.8%

5월 취득 금액(백만원)
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean666.15385
Minimum0
Maximum4330
Zeros14
Zeros (%)53.8%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T01:49:04.398483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3871.25
95-th percentile2956.5
Maximum4330
Range4330
Interquartile range (IQR)871.25

Descriptive statistics

Standard deviation1138.1589
Coefficient of variation (CV)1.7085526
Kurtosis3.7870275
Mean666.15385
Median Absolute Deviation (MAD)0
Skewness2.0079392
Sum17320
Variance1295405.6
MonotonicityNot monotonic
2023-12-13T01:49:04.907323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 14
53.8%
925 1
 
3.8%
120 1
 
3.8%
3285 1
 
3.8%
1711 1
 
3.8%
159 1
 
3.8%
585 1
 
3.8%
1875 1
 
3.8%
4330 1
 
3.8%
1515 1
 
3.8%
Other values (3) 3
 
11.5%
ValueCountFrequency (%)
0 14
53.8%
120 1
 
3.8%
134 1
 
3.8%
159 1
 
3.8%
585 1
 
3.8%
710 1
 
3.8%
925 1
 
3.8%
1515 1
 
3.8%
1711 1
 
3.8%
1875 1
 
3.8%
ValueCountFrequency (%)
4330 1
3.8%
3285 1
3.8%
1971 1
3.8%
1875 1
3.8%
1711 1
3.8%
1515 1
3.8%
925 1
3.8%
710 1
3.8%
585 1
3.8%
159 1
3.8%

6월 취득 필지
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)42.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.6153846
Minimum0
Maximum30
Zeros11
Zeros (%)42.3%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T01:49:05.021437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35.5
95-th percentile18.25
Maximum30
Range30
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation7.3977127
Coefficient of variation (CV)1.6028378
Kurtosis4.8611728
Mean4.6153846
Median Absolute Deviation (MAD)1
Skewness2.1743412
Sum120
Variance54.726154
MonotonicityNot monotonic
2023-12-13T01:49:05.158458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 11
42.3%
4 3
 
11.5%
1 3
 
11.5%
6 2
 
7.7%
19 1
 
3.8%
3 1
 
3.8%
13 1
 
3.8%
2 1
 
3.8%
30 1
 
3.8%
10 1
 
3.8%
ValueCountFrequency (%)
0 11
42.3%
1 3
 
11.5%
2 1
 
3.8%
3 1
 
3.8%
4 3
 
11.5%
6 2
 
7.7%
10 1
 
3.8%
13 1
 
3.8%
16 1
 
3.8%
19 1
 
3.8%
ValueCountFrequency (%)
30 1
 
3.8%
19 1
 
3.8%
16 1
 
3.8%
13 1
 
3.8%
10 1
 
3.8%
6 2
7.7%
4 3
11.5%
3 1
 
3.8%
2 1
 
3.8%
1 3
11.5%

6월 취득 면적(제곱미터)
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)57.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1545.8077
Minimum0
Maximum10048
Zeros11
Zeros (%)42.3%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T01:49:05.319727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median32.5
Q31087
95-th percentile8569.75
Maximum10048
Range10048
Interquartile range (IQR)1087

Descriptive statistics

Standard deviation2874.6459
Coefficient of variation (CV)1.8596401
Kurtosis4.1993943
Mean1545.8077
Median Absolute Deviation (MAD)32.5
Skewness2.1884272
Sum40191
Variance8263589
MonotonicityNot monotonic
2023-12-13T01:49:05.467986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 11
42.3%
3272 2
 
7.7%
1051 1
 
3.8%
4891 1
 
3.8%
834 1
 
3.8%
1099 1
 
3.8%
11 1
 
3.8%
63 1
 
3.8%
796 1
 
3.8%
4771 1
 
3.8%
Other values (5) 5
19.2%
ValueCountFrequency (%)
0 11
42.3%
11 1
 
3.8%
30 1
 
3.8%
35 1
 
3.8%
63 1
 
3.8%
222 1
 
3.8%
796 1
 
3.8%
834 1
 
3.8%
1051 1
 
3.8%
1099 1
 
3.8%
ValueCountFrequency (%)
10048 1
3.8%
9796 1
3.8%
4891 1
3.8%
4771 1
3.8%
3272 2
7.7%
1099 1
3.8%
1051 1
3.8%
834 1
3.8%
796 1
3.8%
222 1
3.8%

6월 취득 금액(백만원)
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)57.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1081.6538
Minimum0
Maximum7030
Zeros11
Zeros (%)42.3%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T01:49:05.578469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median215
Q31314.75
95-th percentile4922
Maximum7030
Range7030
Interquartile range (IQR)1314.75

Descriptive statistics

Standard deviation1856.5256
Coefficient of variation (CV)1.7163769
Kurtosis3.797883
Mean1081.6538
Median Absolute Deviation (MAD)215
Skewness2.0572583
Sum28123
Variance3446687.4
MonotonicityNot monotonic
2023-12-13T01:49:05.724665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 11
42.3%
317 2
 
7.7%
804 1
 
3.8%
2460 1
 
3.8%
3450 1
 
3.8%
484 1
 
3.8%
83 1
 
3.8%
311 1
 
3.8%
1956 1
 
3.8%
3650 1
 
3.8%
Other values (5) 5
19.2%
ValueCountFrequency (%)
0 11
42.3%
83 1
 
3.8%
200 1
 
3.8%
230 1
 
3.8%
311 1
 
3.8%
317 2
 
7.7%
484 1
 
3.8%
804 1
 
3.8%
1485 1
 
3.8%
1956 1
 
3.8%
ValueCountFrequency (%)
7030 1
3.8%
5346 1
3.8%
3650 1
3.8%
3450 1
3.8%
2460 1
3.8%
1956 1
3.8%
1485 1
3.8%
804 1
3.8%
484 1
3.8%
317 2
7.7%

7월 취득 필지
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.5384615
Minimum0
Maximum59
Zeros11
Zeros (%)42.3%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T01:49:05.883472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.5
Q36.75
95-th percentile46
Maximum59
Range59
Interquartile range (IQR)6.75

Descriptive statistics

Standard deviation17.284052
Coefficient of variation (CV)1.8120377
Kurtosis2.6295403
Mean9.5384615
Median Absolute Deviation (MAD)1.5
Skewness1.9847613
Sum248
Variance298.73846
MonotonicityNot monotonic
2023-12-13T01:49:06.041930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 11
42.3%
43 2
 
7.7%
1 2
 
7.7%
3 2
 
7.7%
5 1
 
3.8%
14 1
 
3.8%
7 1
 
3.8%
10 1
 
3.8%
59 1
 
3.8%
2 1
 
3.8%
Other values (3) 3
 
11.5%
ValueCountFrequency (%)
0 11
42.3%
1 2
 
7.7%
2 1
 
3.8%
3 2
 
7.7%
4 1
 
3.8%
5 1
 
3.8%
6 1
 
3.8%
7 1
 
3.8%
10 1
 
3.8%
14 1
 
3.8%
ValueCountFrequency (%)
59 1
3.8%
47 1
3.8%
43 2
7.7%
14 1
3.8%
10 1
3.8%
7 1
3.8%
6 1
3.8%
5 1
3.8%
4 1
3.8%
3 2
7.7%

7월 취득 면적(제곱미터)
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)61.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5902.4231
Minimum0
Maximum37722
Zeros11
Zeros (%)42.3%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T01:49:06.211715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median138
Q32718.75
95-th percentile35649
Maximum37722
Range37722
Interquartile range (IQR)2718.75

Descriptive statistics

Standard deviation11989.632
Coefficient of variation (CV)2.0313067
Kurtosis2.8270928
Mean5902.4231
Median Absolute Deviation (MAD)138
Skewness2.0576053
Sum153463
Variance1.4375126 × 108
MonotonicityNot monotonic
2023-12-13T01:49:06.361839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 11
42.3%
3817 1
 
3.8%
37722 1
 
3.8%
36737 1
 
3.8%
8 1
 
3.8%
228 1
 
3.8%
1256 1
 
3.8%
137 1
 
3.8%
643 1
 
3.8%
139 1
 
3.8%
Other values (6) 6
23.1%
ValueCountFrequency (%)
0 11
42.3%
8 1
 
3.8%
137 1
 
3.8%
139 1
 
3.8%
228 1
 
3.8%
643 1
 
3.8%
1256 1
 
3.8%
1609 1
 
3.8%
2163 1
 
3.8%
2904 1
 
3.8%
ValueCountFrequency (%)
37722 1
3.8%
36737 1
3.8%
32385 1
3.8%
23084 1
3.8%
10631 1
3.8%
3817 1
3.8%
2904 1
3.8%
2163 1
3.8%
1609 1
3.8%
1256 1
3.8%

7월 취득 금액(백만원)
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)57.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1054
Minimum0
Maximum6851
Zeros12
Zeros (%)46.2%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T01:49:06.509030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median166
Q31232.25
95-th percentile4540
Maximum6851
Range6851
Interquartile range (IQR)1232.25

Descriptive statistics

Standard deviation1778.644
Coefficient of variation (CV)1.687518
Kurtosis3.98097
Mean1054
Median Absolute Deviation (MAD)166
Skewness2.0945735
Sum27404
Variance3163574.5
MonotonicityNot monotonic
2023-12-13T01:49:06.655389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 12
46.2%
680 1
 
3.8%
1570 1
 
3.8%
4601 1
 
3.8%
1317 1
 
3.8%
267 1
 
3.8%
620 1
 
3.8%
4357 1
 
3.8%
290 1
 
3.8%
6851 1
 
3.8%
Other values (5) 5
19.2%
ValueCountFrequency (%)
0 12
46.2%
65 1
 
3.8%
267 1
 
3.8%
290 1
 
3.8%
620 1
 
3.8%
680 1
 
3.8%
750 1
 
3.8%
978 1
 
3.8%
1317 1
 
3.8%
1570 1
 
3.8%
ValueCountFrequency (%)
6851 1
3.8%
4601 1
3.8%
4357 1
3.8%
3356 1
3.8%
1702 1
3.8%
1570 1
3.8%
1317 1
3.8%
978 1
3.8%
750 1
3.8%
680 1
3.8%

8월 취득 필지
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)46.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.538462
Minimum0
Maximum68
Zeros11
Zeros (%)42.3%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T01:49:06.807047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q311.5
95-th percentile58
Maximum68
Range68
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation19.849898
Coefficient of variation (CV)1.7203245
Kurtosis2.7787135
Mean11.538462
Median Absolute Deviation (MAD)1
Skewness1.9387776
Sum300
Variance394.01846
MonotonicityNot monotonic
2023-12-13T01:49:06.936709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 11
42.3%
7 3
 
11.5%
1 3
 
11.5%
6 1
 
3.8%
62 1
 
3.8%
13 1
 
3.8%
14 1
 
3.8%
46 1
 
3.8%
68 1
 
3.8%
38 1
 
3.8%
Other values (2) 2
 
7.7%
ValueCountFrequency (%)
0 11
42.3%
1 3
 
11.5%
2 1
 
3.8%
6 1
 
3.8%
7 3
 
11.5%
13 1
 
3.8%
14 1
 
3.8%
27 1
 
3.8%
38 1
 
3.8%
46 1
 
3.8%
ValueCountFrequency (%)
68 1
 
3.8%
62 1
 
3.8%
46 1
 
3.8%
38 1
 
3.8%
27 1
 
3.8%
14 1
 
3.8%
13 1
 
3.8%
7 3
11.5%
6 1
 
3.8%
2 1
 
3.8%

8월 취득 면적(제곱미터)
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)61.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23056.769
Minimum0
Maximum144721
Zeros11
Zeros (%)42.3%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T01:49:07.079510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median235
Q39763.75
95-th percentile137623.5
Maximum144721
Range144721
Interquartile range (IQR)9763.75

Descriptive statistics

Standard deviation48994.096
Coefficient of variation (CV)2.1249333
Kurtosis2.3455949
Mean23056.769
Median Absolute Deviation (MAD)235
Skewness2.0161737
Sum599476
Variance2.4004214 × 109
MonotonicityNot monotonic
2023-12-13T01:49:07.206713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 11
42.3%
460 1
 
3.8%
18655 1
 
3.8%
144721 1
 
3.8%
1330 1
 
3.8%
602 1
 
3.8%
3206 1
 
3.8%
10 1
 
3.8%
131214 1
 
3.8%
2330 1
 
3.8%
Other values (6) 6
23.1%
ValueCountFrequency (%)
0 11
42.3%
4 1
 
3.8%
10 1
 
3.8%
460 1
 
3.8%
602 1
 
3.8%
1330 1
 
3.8%
2330 1
 
3.8%
3206 1
 
3.8%
9649 1
 
3.8%
9802 1
 
3.8%
ValueCountFrequency (%)
144721 1
3.8%
139760 1
3.8%
131214 1
3.8%
124084 1
3.8%
18655 1
3.8%
13649 1
3.8%
9802 1
3.8%
9649 1
3.8%
3206 1
3.8%
2330 1
3.8%

8월 취득 금액(백만원)
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)53.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1288.8077
Minimum0
Maximum8377
Zeros13
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T01:49:07.345426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median64
Q31560.75
95-th percentile5955.25
Maximum8377
Range8377
Interquartile range (IQR)1560.75

Descriptive statistics

Standard deviation2209.4847
Coefficient of variation (CV)1.7143634
Kurtosis3.9159519
Mean1288.8077
Median Absolute Deviation (MAD)64
Skewness2.0897416
Sum33509
Variance4881822.8
MonotonicityNot monotonic
2023-12-13T01:49:07.467064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 13
50.0%
1615 1
 
3.8%
617 1
 
3.8%
6145 1
 
3.8%
1744 1
 
3.8%
1114 1
 
3.8%
133 1
 
3.8%
5386 1
 
3.8%
8377 1
 
3.8%
128 1
 
3.8%
Other values (4) 4
 
15.4%
ValueCountFrequency (%)
0 13
50.0%
128 1
 
3.8%
133 1
 
3.8%
617 1
 
3.8%
880 1
 
3.8%
1114 1
 
3.8%
1398 1
 
3.8%
1615 1
 
3.8%
1744 1
 
3.8%
2527 1
 
3.8%
ValueCountFrequency (%)
8377 1
3.8%
6145 1
3.8%
5386 1
3.8%
3445 1
3.8%
2527 1
3.8%
1744 1
3.8%
1615 1
3.8%
1398 1
3.8%
1114 1
3.8%
880 1
3.8%

9월 취득 필지
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.0769231
Minimum0
Maximum45
Zeros11
Zeros (%)42.3%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T01:49:07.695999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.5
Q37
95-th percentile34.5
Maximum45
Range45
Interquartile range (IQR)7

Descriptive statistics

Standard deviation12.224314
Coefficient of variation (CV)1.7273487
Kurtosis3.7602003
Mean7.0769231
Median Absolute Deviation (MAD)1.5
Skewness2.1208256
Sum184
Variance149.43385
MonotonicityNot monotonic
2023-12-13T01:49:07.829638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 11
42.3%
7 2
 
7.7%
2 2
 
7.7%
1 2
 
7.7%
37 1
 
3.8%
27 1
 
3.8%
10 1
 
3.8%
45 1
 
3.8%
9 1
 
3.8%
4 1
 
3.8%
Other values (3) 3
 
11.5%
ValueCountFrequency (%)
0 11
42.3%
1 2
 
7.7%
2 2
 
7.7%
3 1
 
3.8%
4 1
 
3.8%
5 1
 
3.8%
7 2
 
7.7%
9 1
 
3.8%
10 1
 
3.8%
24 1
 
3.8%
ValueCountFrequency (%)
45 1
3.8%
37 1
3.8%
27 1
3.8%
24 1
3.8%
10 1
3.8%
9 1
3.8%
7 2
7.7%
5 1
3.8%
4 1
3.8%
3 1
3.8%

9월 취득 면적(제곱미터)
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean808.84615
Minimum0
Maximum4922
Zeros11
Zeros (%)42.3%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T01:49:07.936376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median315.5
Q3996
95-th percentile2480
Maximum4922
Range4922
Interquartile range (IQR)996

Descriptive statistics

Standard deviation1158.1704
Coefficient of variation (CV)1.4318797
Kurtosis5.325218
Mean808.84615
Median Absolute Deviation (MAD)315.5
Skewness2.0893014
Sum21030
Variance1341358.7
MonotonicityNot monotonic
2023-12-13T01:49:08.040927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 11
42.3%
996 2
 
7.7%
1708 2
 
7.7%
335 2
 
7.7%
2554 1
 
3.8%
2258 1
 
3.8%
296 1
 
3.8%
4922 1
 
3.8%
224 1
 
3.8%
860 1
 
3.8%
Other values (3) 3
 
11.5%
ValueCountFrequency (%)
0 11
42.3%
224 1
 
3.8%
296 1
 
3.8%
335 2
 
7.7%
860 1
 
3.8%
864 1
 
3.8%
936 1
 
3.8%
996 2
 
7.7%
1708 2
 
7.7%
2038 1
 
3.8%
ValueCountFrequency (%)
4922 1
3.8%
2554 1
3.8%
2258 1
3.8%
2038 1
3.8%
1708 2
7.7%
996 2
7.7%
936 1
3.8%
864 1
3.8%
860 1
3.8%
335 2
7.7%

9월 취득 금액(백만원)
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1102.8462
Minimum0
Maximum7136
Zeros11
Zeros (%)42.3%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T01:49:08.156822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median211
Q31311
95-th percentile5240.75
Maximum7136
Range7136
Interquartile range (IQR)1311

Descriptive statistics

Standard deviation1859.286
Coefficient of variation (CV)1.6858979
Kurtosis4.4924726
Mean1102.8462
Median Absolute Deviation (MAD)211
Skewness2.2154598
Sum28674
Variance3456944.4
MonotonicityNot monotonic
2023-12-13T01:49:08.291961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 11
42.3%
390 2
 
7.7%
1311 2
 
7.7%
32 2
 
7.7%
5467 1
 
3.8%
4562 1
 
3.8%
906 1
 
3.8%
7136 1
 
3.8%
1572 1
 
3.8%
861 1
 
3.8%
Other values (3) 3
 
11.5%
ValueCountFrequency (%)
0 11
42.3%
32 2
 
7.7%
390 2
 
7.7%
850 1
 
3.8%
861 1
 
3.8%
906 1
 
3.8%
1311 2
 
7.7%
1428 1
 
3.8%
1572 1
 
3.8%
2426 1
 
3.8%
ValueCountFrequency (%)
7136 1
3.8%
5467 1
3.8%
4562 1
3.8%
2426 1
3.8%
1572 1
3.8%
1428 1
3.8%
1311 2
7.7%
906 1
3.8%
861 1
3.8%
850 1
3.8%

10월 취득 필지
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)53.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.5384615
Minimum0
Maximum43
Zeros9
Zeros (%)34.6%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T01:49:08.440688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2.5
Q38.25
95-th percentile31.25
Maximum43
Range43
Interquartile range (IQR)8.25

Descriptive statistics

Standard deviation11.475995
Coefficient of variation (CV)1.5223259
Kurtosis3.0904042
Mean7.5384615
Median Absolute Deviation (MAD)2.5
Skewness1.8851352
Sum196
Variance131.69846
MonotonicityNot monotonic
2023-12-13T01:49:08.590178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 9
34.6%
1 3
 
11.5%
6 2
 
7.7%
3 2
 
7.7%
9 1
 
3.8%
34 1
 
3.8%
20 1
 
3.8%
2 1
 
3.8%
16 1
 
3.8%
43 1
 
3.8%
Other values (4) 4
15.4%
ValueCountFrequency (%)
0 9
34.6%
1 3
 
11.5%
2 1
 
3.8%
3 2
 
7.7%
4 1
 
3.8%
5 1
 
3.8%
6 2
 
7.7%
9 1
 
3.8%
16 1
 
3.8%
19 1
 
3.8%
ValueCountFrequency (%)
43 1
3.8%
34 1
3.8%
23 1
3.8%
20 1
3.8%
19 1
3.8%
16 1
3.8%
9 1
3.8%
6 2
7.7%
5 1
3.8%
4 1
3.8%

10월 취득 면적(제곱미터)
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)69.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4276
Minimum0
Maximum25408
Zeros9
Zeros (%)34.6%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T01:49:08.729645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median306.5
Q31698.25
95-th percentile24115
Maximum25408
Range25408
Interquartile range (IQR)1698.25

Descriptive statistics

Standard deviation8763.2531
Coefficient of variation (CV)2.0494044
Kurtosis2.2409997
Mean4276
Median Absolute Deviation (MAD)306.5
Skewness1.9969689
Sum111176
Variance76794604
MonotonicityNot monotonic
2023-12-13T01:49:08.871270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 9
34.6%
23911 1
 
3.8%
40 1
 
3.8%
25408 1
 
3.8%
818 1
 
3.8%
876 1
 
3.8%
691 1
 
3.8%
23736 1
 
3.8%
94 1
 
3.8%
3965 1
 
3.8%
Other values (8) 8
30.8%
ValueCountFrequency (%)
0 9
34.6%
40 1
 
3.8%
61 1
 
3.8%
89 1
 
3.8%
94 1
 
3.8%
519 1
 
3.8%
691 1
 
3.8%
818 1
 
3.8%
876 1
 
3.8%
1422 1
 
3.8%
ValueCountFrequency (%)
25408 1
3.8%
24183 1
3.8%
23911 1
3.8%
23736 1
3.8%
3965 1
3.8%
2112 1
3.8%
1771 1
3.8%
1480 1
3.8%
1422 1
3.8%
876 1
3.8%

10월 취득 금액(백만원)
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)61.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1413.4615
Minimum0
Maximum9187
Zeros11
Zeros (%)42.3%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T01:49:09.001298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median182.5
Q31165.75
95-th percentile6002
Maximum9187
Range9187
Interquartile range (IQR)1165.75

Descriptive statistics

Standard deviation2437.74
Coefficient of variation (CV)1.7246596
Kurtosis3.438561
Mean1413.4615
Median Absolute Deviation (MAD)182.5
Skewness2.0125811
Sum36750
Variance5942576.2
MonotonicityNot monotonic
2023-12-13T01:49:09.134781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 11
42.3%
627 1
 
3.8%
464 1
 
3.8%
5376 1
 
3.8%
708 1
 
3.8%
761 1
 
3.8%
2343 1
 
3.8%
9187 1
 
3.8%
80 1
 
3.8%
6185 1
 
3.8%
Other values (6) 6
23.1%
ValueCountFrequency (%)
0 11
42.3%
80 1
 
3.8%
150 1
 
3.8%
215 1
 
3.8%
464 1
 
3.8%
627 1
 
3.8%
708 1
 
3.8%
761 1
 
3.8%
808 1
 
3.8%
1285 1
 
3.8%
ValueCountFrequency (%)
9187 1
3.8%
6185 1
3.8%
5453 1
3.8%
5376 1
3.8%
3108 1
3.8%
2343 1
3.8%
1285 1
3.8%
808 1
3.8%
761 1
3.8%
708 1
3.8%

11월 취득 필지
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)46.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.307692
Minimum0
Maximum88
Zeros10
Zeros (%)38.5%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T01:49:09.274391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q37.25
95-th percentile83.25
Maximum88
Range88
Interquartile range (IQR)7.25

Descriptive statistics

Standard deviation28.241486
Coefficient of variation (CV)1.9738673
Kurtosis2.6558258
Mean14.307692
Median Absolute Deviation (MAD)2
Skewness2.0442345
Sum372
Variance797.58154
MonotonicityNot monotonic
2023-12-13T01:49:09.474802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 10
38.5%
3 3
 
11.5%
2 2
 
7.7%
5 2
 
7.7%
1 2
 
7.7%
88 1
 
3.8%
10 1
 
3.8%
8 1
 
3.8%
72 1
 
3.8%
87 1
 
3.8%
Other values (2) 2
 
7.7%
ValueCountFrequency (%)
0 10
38.5%
1 2
 
7.7%
2 2
 
7.7%
3 3
 
11.5%
5 2
 
7.7%
8 1
 
3.8%
10 1
 
3.8%
17 1
 
3.8%
65 1
 
3.8%
72 1
 
3.8%
ValueCountFrequency (%)
88 1
 
3.8%
87 1
 
3.8%
72 1
 
3.8%
65 1
 
3.8%
17 1
 
3.8%
10 1
 
3.8%
8 1
 
3.8%
5 2
7.7%
3 3
11.5%
2 2
7.7%

11월 취득 면적(제곱미터)
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)65.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1732.5
Minimum0
Maximum10656
Zeros10
Zeros (%)38.5%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T01:49:09.613488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median534.5
Q31497
95-th percentile7013.25
Maximum10656
Range10656
Interquartile range (IQR)1497

Descriptive statistics

Standard deviation2798.1604
Coefficient of variation (CV)1.6150998
Kurtosis3.2342482
Mean1732.5
Median Absolute Deviation (MAD)534.5
Skewness1.9152746
Sum45045
Variance7829701.4
MonotonicityNot monotonic
2023-12-13T01:49:09.761713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 10
38.5%
530 1
 
3.8%
4713 1
 
3.8%
7360 1
 
3.8%
1287 1
 
3.8%
539 1
 
3.8%
81 1
 
3.8%
1146 1
 
3.8%
848 1
 
3.8%
575 1
 
3.8%
Other values (7) 7
26.9%
ValueCountFrequency (%)
0 10
38.5%
75 1
 
3.8%
81 1
 
3.8%
530 1
 
3.8%
539 1
 
3.8%
575 1
 
3.8%
730 1
 
3.8%
848 1
 
3.8%
1146 1
 
3.8%
1287 1
 
3.8%
ValueCountFrequency (%)
10656 1
3.8%
7360 1
3.8%
5973 1
3.8%
4928 1
3.8%
4713 1
3.8%
4037 1
3.8%
1567 1
3.8%
1287 1
3.8%
1146 1
3.8%
848 1
3.8%

11월 취득 금액(백만원)
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)61.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1374.4615
Minimum0
Maximum8930
Zeros11
Zeros (%)42.3%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T01:49:09.904357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median207
Q3702
95-th percentile8299.25
Maximum8930
Range8930
Interquartile range (IQR)702

Descriptive statistics

Standard deviation2723.9226
Coefficient of variation (CV)1.9818107
Kurtosis3.5293759
Mean1374.4615
Median Absolute Deviation (MAD)207
Skewness2.1874216
Sum35736
Variance7419754.3
MonotonicityNot monotonic
2023-12-13T01:49:10.040076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 11
42.3%
310 1
 
3.8%
4 1
 
3.8%
3871 1
 
3.8%
746 1
 
3.8%
570 1
 
3.8%
406 1
 
3.8%
761 1
 
3.8%
2580 1
 
3.8%
8930 1
 
3.8%
Other values (6) 6
23.1%
ValueCountFrequency (%)
0 11
42.3%
4 1
 
3.8%
104 1
 
3.8%
310 1
 
3.8%
334 1
 
3.8%
406 1
 
3.8%
437 1
 
3.8%
526 1
 
3.8%
570 1
 
3.8%
746 1
 
3.8%
ValueCountFrequency (%)
8930 1
3.8%
8520 1
3.8%
7637 1
3.8%
3871 1
3.8%
2580 1
3.8%
761 1
3.8%
746 1
3.8%
570 1
3.8%
526 1
3.8%
437 1
3.8%

12월 취득 필지
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)57.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.846154
Minimum0
Maximum153
Zeros6
Zeros (%)23.1%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T01:49:10.156808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4.5
Q316.75
95-th percentile136.75
Maximum153
Range153
Interquartile range (IQR)15.75

Descriptive statistics

Standard deviation44.858616
Coefficient of variation (CV)1.8811677
Kurtosis3.7946322
Mean23.846154
Median Absolute Deviation (MAD)4.5
Skewness2.220814
Sum620
Variance2012.2954
MonotonicityNot monotonic
2023-12-13T01:49:10.308802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 6
23.1%
2 3
11.5%
1 3
11.5%
7 2
 
7.7%
5 2
 
7.7%
141 1
 
3.8%
17 1
 
3.8%
4 1
 
3.8%
124 1
 
3.8%
153 1
 
3.8%
Other values (5) 5
19.2%
ValueCountFrequency (%)
0 6
23.1%
1 3
11.5%
2 3
11.5%
4 1
 
3.8%
5 2
 
7.7%
7 2
 
7.7%
11 1
 
3.8%
16 1
 
3.8%
17 1
 
3.8%
19 1
 
3.8%
ValueCountFrequency (%)
153 1
3.8%
141 1
3.8%
124 1
3.8%
54 1
3.8%
48 1
3.8%
19 1
3.8%
17 1
3.8%
16 1
3.8%
11 1
3.8%
7 2
7.7%

12월 취득 면적(제곱미터)
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)76.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4040.2308
Minimum0
Maximum24550
Zeros6
Zeros (%)23.1%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T01:49:10.475690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19
median601
Q36274
95-th percentile16344.75
Maximum24550
Range24550
Interquartile range (IQR)6265

Descriptive statistics

Standard deviation6577.2819
Coefficient of variation (CV)1.6279471
Kurtosis2.7738187
Mean4040.2308
Median Absolute Deviation (MAD)601
Skewness1.8085893
Sum105046
Variance43260637
MonotonicityNot monotonic
2023-12-13T01:49:10.604300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 6
23.1%
9 2
 
7.7%
8677 1
 
3.8%
24550 1
 
3.8%
12544 1
 
3.8%
941 1
 
3.8%
6702 1
 
3.8%
750 1
 
3.8%
4990 1
 
3.8%
335 1
 
3.8%
Other values (10) 10
38.5%
ValueCountFrequency (%)
0 6
23.1%
9 2
 
7.7%
16 1
 
3.8%
28 1
 
3.8%
45 1
 
3.8%
335 1
 
3.8%
452 1
 
3.8%
750 1
 
3.8%
855 1
 
3.8%
941 1
 
3.8%
ValueCountFrequency (%)
24550 1
3.8%
17122 1
3.8%
14013 1
3.8%
12544 1
3.8%
10231 1
3.8%
8677 1
3.8%
6702 1
3.8%
4990 1
3.8%
1712 1
3.8%
1065 1
3.8%

12월 취득 금액(백만원)
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)65.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2491.7308
Minimum0
Maximum16196
Zeros9
Zeros (%)34.6%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T01:49:10.738726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median290
Q31261.5
95-th percentile13798
Maximum16196
Range16196
Interquartile range (IQR)1261.5

Descriptive statistics

Standard deviation4824.1388
Coefficient of variation (CV)1.9360594
Kurtosis2.9959303
Mean2491.7308
Median Absolute Deviation (MAD)290
Skewness2.0828018
Sum64785
Variance23272315
MonotonicityNot monotonic
2023-12-13T01:49:10.891923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 9
34.6%
10 2
 
7.7%
610 1
 
3.8%
16196 1
 
3.8%
906 1
 
3.8%
524 1
 
3.8%
10205 1
 
3.8%
1052 1
 
3.8%
2319 1
 
3.8%
1191 1
 
3.8%
Other values (7) 7
26.9%
ValueCountFrequency (%)
0 9
34.6%
10 2
 
7.7%
195 1
 
3.8%
250 1
 
3.8%
330 1
 
3.8%
524 1
 
3.8%
610 1
 
3.8%
906 1
 
3.8%
1052 1
 
3.8%
1191 1
 
3.8%
ValueCountFrequency (%)
16196 1
3.8%
14291 1
3.8%
12319 1
3.8%
10205 1
3.8%
3092 1
3.8%
2319 1
3.8%
1285 1
3.8%
1191 1
3.8%
1052 1
3.8%
906 1
3.8%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum2022-12-31 00:00:00
Maximum2022-12-31 00:00:00
2023-12-13T01:49:11.047632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:49:11.168100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

해당연도유형구분구분 상세1월 취득 필지1월 취득 면적(제곱미터)1월 취득 금액(백만원)2월 취득 필지2월 취득 면적(제곱미터)2월 취득 금액(백만원)3월 취득 필지3월 취득 면적(제곱미터)3월 취득 금액(백만원)4월 취득 필지4월 취득 면적(제곱미터)4월 취득 금액(백만원)5월 취득 필지5월 취득 면적(제곱미터)5월 취득 금액(백만원)6월 취득 필지6월 취득 면적(제곱미터)6월 취득 금액(백만원)7월 취득 필지7월 취득 면적(제곱미터)7월 취득 금액(백만원)8월 취득 필지8월 취득 면적(제곱미터)8월 취득 금액(백만원)9월 취득 필지9월 취득 면적(제곱미터)9월 취득 금액(백만원)10월 취득 필지10월 취득 면적(제곱미터)10월 취득 금액(백만원)11월 취득 필지11월 취득 면적(제곱미터)11월 취득 금액(백만원)12월 취득 필지12월 취득 면적(제곱미터)12월 취득 금액(백만원)데이터기준일자
02022주체별개인미국교포31195061863501015803784172297277761253292563272317538176806460161579963906239116273530310786776102022-12-31
12022주체별개인기타교포2571013752915676661159323154453401204105180414216315707964961721708131191771545327510429102022-12-31
22022주체별개인순수외국인820840192527210164473021682945641011749551544343285194891246043323854601621397606145372554546734211231088810656852014117122142912022-12-31
32022주체별법인미국합작법인0000000000000000000000000000000000002022-12-31
42022주체별법인기타합작법인0000000000000000000000000000000000002022-12-31
52022주체별법인순수외국법인000000000000000183434500000000000000000002022-12-31
62022주체별정부+단체등없음000000000000000000000000000000000545212852022-12-31
72022국적별미국없음51876869947282213181701895718229867889159601711632723177106311317131240841744799639020241831285101567437171401330922022-12-31
82022국적별기타미주없음1101701406803357502000324159310994841016092671498021114217081311614228083492833448553302022-12-31
92022국적별영국+프랑스+독일없음17753029410700000000000000000000000000001452502022-12-31
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