Overview

Dataset statistics

Number of variables23
Number of observations21
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.3 KiB
Average record size in memory211.3 B

Variable types

Text1
Numeric13
Categorical9

Dataset

Description인천광역시 서구 지역별규모별 아파트거래현황에 관한 데이터입니다. 각 행정구역의 규모별 아파트 거래 동호수, 면적, 금액 항목을 제공합니다. (데이터기준일자 기준 근1년 거래)
Author인천광역시 서구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15105667&srcSe=7661IVAWM27C61E190

Alerts

198초과_금액(백만원) has constant value ""Constant
데이터기준일자 has constant value ""Constant
40이하_금액(백만원) is highly imbalanced (53.3%)Imbalance
165초과 198이하_동호수 is highly imbalanced (72.4%)Imbalance
165초과 198이하_면적 is highly imbalanced (72.4%)Imbalance
165초과 198이하_금액(백만원) is highly imbalanced (72.4%)Imbalance
198초과_동호수 is highly imbalanced (72.4%)Imbalance
198초과_면적 is highly imbalanced (72.4%)Imbalance
행정구역 has unique valuesUnique
40이하_동호수 has 10 (47.6%) zerosZeros
40이하_면적 has 10 (47.6%) zerosZeros
40초과 60이하_동호수 has 6 (28.6%) zerosZeros
40초과 60이하_면적 has 6 (28.6%) zerosZeros
40초과 60이하_금액(백만원) has 7 (33.3%) zerosZeros
60초과 85이하_동호수 has 5 (23.8%) zerosZeros
60초과 85이하_면적 has 5 (23.8%) zerosZeros
60초과 85이하_금액(백만원) has 5 (23.8%) zerosZeros
85초과 135이하_동호수 has 11 (52.4%) zerosZeros
85초과 135이하_면적 has 11 (52.4%) zerosZeros
85초과 135이하_금액(백만원) has 11 (52.4%) zerosZeros
135초과 165이하_면적 has 16 (76.2%) zerosZeros
135초과 165이하_금액(백만원) has 16 (76.2%) zerosZeros

Reproduction

Analysis started2024-01-28 12:23:15.296828
Analysis finished2024-01-28 12:23:15.460293
Duration0.16 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

행정구역
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-01-28T21:23:15.564597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters63
Distinct characters37
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

Unique21 ?
Unique (%)100.0%

Sample

1st row백석동
2nd row시천동
3rd row검암동
4th row경서동
5th row공촌동
ValueCountFrequency (%)
백석동 1
 
4.8%
가좌동 1
 
4.8%
불로동 1
 
4.8%
왕길동 1
 
4.8%
오류동 1
 
4.8%
금곡동 1
 
4.8%
대곡동 1
 
4.8%
원당동 1
 
4.8%
당하동 1
 
4.8%
마전동 1
 
4.8%
Other values (11) 11
52.4%
2024-01-28T21:23:15.810763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 21
33.3%
곡 3
 
4.8%
원 2
 
3.2%
석 2
 
3.2%
가 2
 
3.2%
당 2
 
3.2%
대 1
 
1.6%
좌 1
 
1.6%
마 1
 
1.6%
전 1
 
1.6%
Other values (27) 27
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 63
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 21
33.3%
곡 3
 
4.8%
원 2
 
3.2%
석 2
 
3.2%
가 2
 
3.2%
당 2
 
3.2%
대 1
 
1.6%
좌 1
 
1.6%
마 1
 
1.6%
전 1
 
1.6%
Other values (27) 27
42.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 63
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 21
33.3%
곡 3
 
4.8%
원 2
 
3.2%
석 2
 
3.2%
가 2
 
3.2%
당 2
 
3.2%
대 1
 
1.6%
좌 1
 
1.6%
마 1
 
1.6%
전 1
 
1.6%
Other values (27) 27
42.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 63
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 21
33.3%
곡 3
 
4.8%
원 2
 
3.2%
석 2
 
3.2%
가 2
 
3.2%
당 2
 
3.2%
대 1
 
1.6%
좌 1
 
1.6%
마 1
 
1.6%
전 1
 
1.6%
Other values (27) 27
42.9%

40이하_동호수
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)47.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.4285714
Minimum0
Maximum45
Zeros10
Zeros (%)47.6%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-01-28T21:23:15.908176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile22
Maximum45
Range45
Interquartile range (IQR)5

Descriptive statistics

Standard deviation10.703137
Coefficient of variation (CV)1.9716305
Kurtosis9.5697261
Mean5.4285714
Median Absolute Deviation (MAD)1
Skewness2.9401787
Sum114
Variance114.55714
MonotonicityNot monotonic
2024-01-28T21:23:15.986196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 10
47.6%
2 2
 
9.5%
1 2
 
9.5%
5 1
 
4.8%
22 1
 
4.8%
4 1
 
4.8%
9 1
 
4.8%
10 1
 
4.8%
13 1
 
4.8%
45 1
 
4.8%
ValueCountFrequency (%)
0 10
47.6%
1 2
 
9.5%
2 2
 
9.5%
4 1
 
4.8%
5 1
 
4.8%
9 1
 
4.8%
10 1
 
4.8%
13 1
 
4.8%
22 1
 
4.8%
45 1
 
4.8%
ValueCountFrequency (%)
45 1
 
4.8%
22 1
 
4.8%
13 1
 
4.8%
10 1
 
4.8%
9 1
 
4.8%
5 1
 
4.8%
4 1
 
4.8%
2 2
 
9.5%
1 2
 
9.5%
0 10
47.6%

40이하_면적
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)57.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean174.97524
Minimum0
Maximum1614.79
Zeros10
Zeros (%)47.6%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-01-28T21:23:16.073509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median29.86
Q3185
95-th percentile578.45
Maximum1614.79
Range1614.79
Interquartile range (IQR)185

Descriptive statistics

Standard deviation368.89393
Coefficient of variation (CV)2.1082636
Kurtosis12.323344
Mean174.97524
Median Absolute Deviation (MAD)29.86
Skewness3.3118563
Sum3674.48
Variance136082.73
MonotonicityNot monotonic
2024-01-28T21:23:16.160599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.0 10
47.6%
185.0 1
 
4.8%
40.18 1
 
4.8%
36.45 1
 
4.8%
29.86 1
 
4.8%
578.45 1
 
4.8%
142.37 1
 
4.8%
318.51 1
 
4.8%
256.0 1
 
4.8%
442.99 1
 
4.8%
Other values (2) 2
 
9.5%
ValueCountFrequency (%)
0.0 10
47.6%
29.86 1
 
4.8%
29.88 1
 
4.8%
36.45 1
 
4.8%
40.18 1
 
4.8%
142.37 1
 
4.8%
185.0 1
 
4.8%
256.0 1
 
4.8%
318.51 1
 
4.8%
442.99 1
 
4.8%
ValueCountFrequency (%)
1614.79 1
4.8%
578.45 1
4.8%
442.99 1
4.8%
318.51 1
4.8%
256.0 1
4.8%
185.0 1
4.8%
142.37 1
4.8%
40.18 1
4.8%
36.45 1
4.8%
29.88 1
4.8%

40이하_금액(백만원)
Categorical

IMBALANCE 

Distinct5
Distinct (%)23.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
17 
333
 
1
135
 
1
60
 
1
853
 
1

Length

Max length3
Median length1
Mean length1.3333333
Min length1

Unique

Unique4 ?
Unique (%)19.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 17
81.0%
333 1
 
4.8%
135 1
 
4.8%
60 1
 
4.8%
853 1
 
4.8%

Length

2024-01-28T21:23:16.276659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T21:23:16.372488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 17
81.0%
333 1
 
4.8%
135 1
 
4.8%
60 1
 
4.8%
853 1
 
4.8%

40초과 60이하_동호수
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.52381
Minimum0
Maximum238
Zeros6
Zeros (%)28.6%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-01-28T21:23:16.458864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q313
95-th percentile92
Maximum238
Range238
Interquartile range (IQR)13

Descriptive statistics

Standard deviation55.205633
Coefficient of variation (CV)2.1629073
Kurtosis11.588888
Mean25.52381
Median Absolute Deviation (MAD)5
Skewness3.265967
Sum536
Variance3047.6619
MonotonicityNot monotonic
2024-01-28T21:23:16.544379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 6
28.6%
3 2
 
9.5%
13 2
 
9.5%
12 1
 
4.8%
2 1
 
4.8%
5 1
 
4.8%
87 1
 
4.8%
8 1
 
4.8%
9 1
 
4.8%
29 1
 
4.8%
Other values (4) 4
19.0%
ValueCountFrequency (%)
0 6
28.6%
1 1
 
4.8%
2 1
 
4.8%
3 2
 
9.5%
5 1
 
4.8%
8 1
 
4.8%
9 1
 
4.8%
12 1
 
4.8%
13 2
 
9.5%
21 1
 
4.8%
ValueCountFrequency (%)
238 1
4.8%
92 1
4.8%
87 1
4.8%
29 1
4.8%
21 1
4.8%
13 2
9.5%
12 1
4.8%
9 1
4.8%
8 1
4.8%
5 1
4.8%

40초과 60이하_면적
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)76.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1237.0314
Minimum0
Maximum10140.95
Zeros6
Zeros (%)28.6%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-01-28T21:23:16.631784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median299.25
Q3778.8
95-th percentile5290.08
Maximum10140.95
Range10140.95
Interquartile range (IQR)778.8

Descriptive statistics

Standard deviation2461.8851
Coefficient of variation (CV)1.9901557
Kurtosis8.7127355
Mean1237.0314
Median Absolute Deviation (MAD)299.25
Skewness2.8794906
Sum25977.66
Variance6060878.4
MonotonicityNot monotonic
2024-01-28T21:23:16.731281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.0 6
28.6%
674.51 1
 
4.8%
1512.66 1
 
4.8%
778.8 1
 
4.8%
10140.95 1
 
4.8%
50.99 1
 
4.8%
5290.08 1
 
4.8%
1031.72 1
 
4.8%
717.03 1
 
4.8%
479.6 1
 
4.8%
Other values (6) 6
28.6%
ValueCountFrequency (%)
0.0 6
28.6%
50.99 1
 
4.8%
118.72 1
 
4.8%
142.17 1
 
4.8%
172.58 1
 
4.8%
299.25 1
 
4.8%
443.32 1
 
4.8%
479.6 1
 
4.8%
674.51 1
 
4.8%
717.03 1
 
4.8%
ValueCountFrequency (%)
10140.95 1
4.8%
5290.08 1
4.8%
4125.28 1
4.8%
1512.66 1
4.8%
1031.72 1
4.8%
778.8 1
4.8%
717.03 1
4.8%
674.51 1
4.8%
479.6 1
4.8%
443.32 1
4.8%

40초과 60이하_금액(백만원)
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2337.9048
Minimum0
Maximum25087
Zeros7
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-01-28T21:23:16.826759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median550
Q32112
95-th percentile5300
Maximum25087
Range25087
Interquartile range (IQR)2112

Descriptive statistics

Standard deviation5444.5205
Coefficient of variation (CV)2.3288034
Kurtosis17.109923
Mean2337.9048
Median Absolute Deviation (MAD)550
Skewness4.0019434
Sum49096
Variance29642804
MonotonicityNot monotonic
2024-01-28T21:23:16.925046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 7
33.3%
2112 1
 
4.8%
550 1
 
4.8%
260 1
 
4.8%
350 1
 
4.8%
985 1
 
4.8%
5300 1
 
4.8%
1753 1
 
4.8%
1152 1
 
4.8%
2805 1
 
4.8%
Other values (5) 5
23.8%
ValueCountFrequency (%)
0 7
33.3%
125 1
 
4.8%
260 1
 
4.8%
350 1
 
4.8%
550 1
 
4.8%
985 1
 
4.8%
1140 1
 
4.8%
1152 1
 
4.8%
1753 1
 
4.8%
2112 1
 
4.8%
ValueCountFrequency (%)
25087 1
4.8%
5300 1
4.8%
4907 1
4.8%
2805 1
4.8%
2570 1
4.8%
2112 1
4.8%
1753 1
4.8%
1152 1
4.8%
1140 1
4.8%
985 1
4.8%

60초과 85이하_동호수
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.095238
Minimum0
Maximum205
Zeros5
Zeros (%)23.8%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-01-28T21:23:17.011127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median10
Q320
95-th percentile172
Maximum205
Range205
Interquartile range (IQR)19

Descriptive statistics

Standard deviation59.34973
Coefficient of variation (CV)1.7407044
Kurtosis3.5034576
Mean34.095238
Median Absolute Deviation (MAD)10
Skewness2.1083458
Sum716
Variance3522.3905
MonotonicityNot monotonic
2024-01-28T21:23:17.093563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 5
23.8%
17 2
 
9.5%
2 2
 
9.5%
20 2
 
9.5%
6 1
 
4.8%
1 1
 
4.8%
5 1
 
4.8%
172 1
 
4.8%
14 1
 
4.8%
79 1
 
4.8%
Other values (4) 4
19.0%
ValueCountFrequency (%)
0 5
23.8%
1 1
 
4.8%
2 2
 
9.5%
5 1
 
4.8%
6 1
 
4.8%
10 1
 
4.8%
14 1
 
4.8%
17 2
 
9.5%
20 2
 
9.5%
25 1
 
4.8%
ValueCountFrequency (%)
205 1
4.8%
172 1
4.8%
121 1
4.8%
79 1
4.8%
25 1
4.8%
20 2
9.5%
17 2
9.5%
14 1
4.8%
10 1
4.8%
6 1
4.8%

60초과 85이하_면적
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2803.9243
Minimum0
Maximum16561.66
Zeros5
Zeros (%)23.8%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-01-28T21:23:17.173664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q182.19
median849.3
Q31692.77
95-th percentile14485.97
Maximum16561.66
Range16561.66
Interquartile range (IQR)1610.58

Descriptive statistics

Standard deviation4884.1653
Coefficient of variation (CV)1.7419034
Kurtosis3.3528569
Mean2803.9243
Median Absolute Deviation (MAD)843.47
Skewness2.087525
Sum58882.41
Variance23855071
MonotonicityNot monotonic
2024-01-28T21:23:17.257566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0.0 5
23.8%
1345.76 1
 
4.8%
2090.72 1
 
4.8%
16561.66 1
 
4.8%
849.3 1
 
4.8%
169.31 1
 
4.8%
9941.4 1
 
4.8%
6600.0 1
 
4.8%
1692.77 1
 
4.8%
1259.18 1
 
4.8%
Other values (7) 7
33.3%
ValueCountFrequency (%)
0.0 5
23.8%
82.19 1
 
4.8%
168.74 1
 
4.8%
169.31 1
 
4.8%
424.6 1
 
4.8%
509.2 1
 
4.8%
849.3 1
 
4.8%
1057.05 1
 
4.8%
1259.18 1
 
4.8%
1345.76 1
 
4.8%
ValueCountFrequency (%)
16561.66 1
4.8%
14485.97 1
4.8%
9941.4 1
4.8%
6600.0 1
4.8%
2090.72 1
4.8%
1692.77 1
4.8%
1644.56 1
4.8%
1345.76 1
4.8%
1259.18 1
4.8%
1057.05 1
4.8%

60초과 85이하_금액(백만원)
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12870.571
Minimum0
Maximum84531
Zeros5
Zeros (%)23.8%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-01-28T21:23:17.343232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1190
median1735
Q37828
95-th percentile65078
Maximum84531
Range84531
Interquartile range (IQR)7638

Descriptive statistics

Standard deviation23951.969
Coefficient of variation (CV)1.8609872
Kurtosis3.8688506
Mean12870.571
Median Absolute Deviation (MAD)1735
Skewness2.1659842
Sum270282
Variance5.7369682 × 108
MonotonicityNot monotonic
2024-01-28T21:23:17.429846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 5
23.8%
7828 1
 
4.8%
13651 1
 
4.8%
84531 1
 
4.8%
2794 1
 
4.8%
730 1
 
4.8%
49520 1
 
4.8%
27911 1
 
4.8%
3941 1
 
4.8%
2650 1
 
4.8%
Other values (7) 7
33.3%
ValueCountFrequency (%)
0 5
23.8%
190 1
 
4.8%
248 1
 
4.8%
660 1
 
4.8%
730 1
 
4.8%
1260 1
 
4.8%
1735 1
 
4.8%
2650 1
 
4.8%
2794 1
 
4.8%
3941 1
 
4.8%
ValueCountFrequency (%)
84531 1
4.8%
65078 1
4.8%
49520 1
4.8%
27911 1
4.8%
13651 1
4.8%
7828 1
4.8%
7555 1
4.8%
3941 1
4.8%
2794 1
4.8%
2650 1
4.8%

85초과 135이하_동호수
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)47.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.0952381
Minimum0
Maximum39
Zeros11
Zeros (%)52.4%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-01-28T21:23:17.515685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34
95-th percentile30
Maximum39
Range39
Interquartile range (IQR)4

Descriptive statistics

Standard deviation10.420675
Coefficient of variation (CV)2.0451793
Kurtosis6.3447932
Mean5.0952381
Median Absolute Deviation (MAD)0
Skewness2.6154829
Sum107
Variance108.59048
MonotonicityNot monotonic
2024-01-28T21:23:17.612893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 11
52.4%
3 2
 
9.5%
4 1
 
4.8%
1 1
 
4.8%
6 1
 
4.8%
5 1
 
4.8%
39 1
 
4.8%
30 1
 
4.8%
2 1
 
4.8%
14 1
 
4.8%
ValueCountFrequency (%)
0 11
52.4%
1 1
 
4.8%
2 1
 
4.8%
3 2
 
9.5%
4 1
 
4.8%
5 1
 
4.8%
6 1
 
4.8%
14 1
 
4.8%
30 1
 
4.8%
39 1
 
4.8%
ValueCountFrequency (%)
39 1
 
4.8%
30 1
 
4.8%
14 1
 
4.8%
6 1
 
4.8%
5 1
 
4.8%
4 1
 
4.8%
3 2
 
9.5%
2 1
 
4.8%
1 1
 
4.8%
0 11
52.4%

85초과 135이하_면적
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)52.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean533.16762
Minimum0
Maximum3724.05
Zeros11
Zeros (%)52.4%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-01-28T21:23:17.705622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3407.84
95-th percentile3273.58
Maximum3724.05
Range3724.05
Interquartile range (IQR)407.84

Descriptive statistics

Standard deviation1054.8191
Coefficient of variation (CV)1.9784005
Kurtosis5.3396572
Mean533.16762
Median Absolute Deviation (MAD)0
Skewness2.4690117
Sum11196.52
Variance1112643.3
MonotonicityNot monotonic
2024-01-28T21:23:17.791336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.0 11
52.4%
407.84 1
 
4.8%
130.14 1
 
4.8%
634.26 1
 
4.8%
521.34 1
 
4.8%
355.17 1
 
4.8%
3724.05 1
 
4.8%
3273.58 1
 
4.8%
324.06 1
 
4.8%
249.03 1
 
4.8%
ValueCountFrequency (%)
0.0 11
52.4%
130.14 1
 
4.8%
249.03 1
 
4.8%
324.06 1
 
4.8%
355.17 1
 
4.8%
407.84 1
 
4.8%
521.34 1
 
4.8%
634.26 1
 
4.8%
1577.05 1
 
4.8%
3273.58 1
 
4.8%
ValueCountFrequency (%)
3724.05 1
4.8%
3273.58 1
4.8%
1577.05 1
4.8%
634.26 1
4.8%
521.34 1
4.8%
407.84 1
4.8%
355.17 1
4.8%
324.06 1
4.8%
249.03 1
4.8%
130.14 1
4.8%

85초과 135이하_금액(백만원)
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)52.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2300.8095
Minimum0
Maximum17008
Zeros11
Zeros (%)52.4%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-01-28T21:23:17.876683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31538
95-th percentile14666
Maximum17008
Range17008
Interquartile range (IQR)1538

Descriptive statistics

Standard deviation4859.8571
Coefficient of variation (CV)2.1122379
Kurtosis5.1580914
Mean2300.8095
Median Absolute Deviation (MAD)0
Skewness2.4576215
Sum48317
Variance23618211
MonotonicityNot monotonic
2024-01-28T21:23:17.961864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 11
52.4%
2102 1
 
4.8%
340 1
 
4.8%
2550 1
 
4.8%
1538 1
 
4.8%
676 1
 
4.8%
17008 1
 
4.8%
14666 1
 
4.8%
718 1
 
4.8%
700 1
 
4.8%
ValueCountFrequency (%)
0 11
52.4%
340 1
 
4.8%
676 1
 
4.8%
700 1
 
4.8%
718 1
 
4.8%
1538 1
 
4.8%
2102 1
 
4.8%
2550 1
 
4.8%
8019 1
 
4.8%
14666 1
 
4.8%
ValueCountFrequency (%)
17008 1
4.8%
14666 1
4.8%
8019 1
4.8%
2550 1
4.8%
2102 1
4.8%
1538 1
4.8%
718 1
4.8%
700 1
4.8%
676 1
4.8%
340 1
4.8%

135초과 165이하_동호수
Categorical

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
16 
1
3 
3
2 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 16
76.2%
1 3
 
14.3%
3 2
 
9.5%

Length

2024-01-28T21:23:18.069695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T21:23:18.158398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 16
76.2%
1 3
 
14.3%
3 2
 
9.5%

135초과 165이하_면적
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.095714
Minimum0
Maximum468.87
Zeros16
Zeros (%)76.2%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-01-28T21:23:18.238474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile426.08
Maximum468.87
Range468.87
Interquartile range (IQR)0

Descriptive statistics

Standard deviation137.76222
Coefficient of variation (CV)2.1833848
Kurtosis4.9026189
Mean63.095714
Median Absolute Deviation (MAD)0
Skewness2.3716506
Sum1325.01
Variance18978.43
MonotonicityNot monotonic
2024-01-28T21:23:18.324264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.0 16
76.2%
152.71 1
 
4.8%
468.87 1
 
4.8%
140.4 1
 
4.8%
136.95 1
 
4.8%
426.08 1
 
4.8%
ValueCountFrequency (%)
0.0 16
76.2%
136.95 1
 
4.8%
140.4 1
 
4.8%
152.71 1
 
4.8%
426.08 1
 
4.8%
468.87 1
 
4.8%
ValueCountFrequency (%)
468.87 1
 
4.8%
426.08 1
 
4.8%
152.71 1
 
4.8%
140.4 1
 
4.8%
136.95 1
 
4.8%
0.0 16
76.2%

135초과 165이하_금액(백만원)
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean244.95238
Minimum0
Maximum2220
Zeros16
Zeros (%)76.2%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-01-28T21:23:18.408160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1373
Maximum2220
Range2220
Interquartile range (IQR)0

Descriptive statistics

Standard deviation565.46649
Coefficient of variation (CV)2.3084752
Kurtosis7.6736329
Mean244.95238
Median Absolute Deviation (MAD)0
Skewness2.7496601
Sum5144
Variance319752.35
MonotonicityNot monotonic
2024-01-28T21:23:18.494427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 16
76.2%
1373 1
 
4.8%
648 1
 
4.8%
535 1
 
4.8%
368 1
 
4.8%
2220 1
 
4.8%
ValueCountFrequency (%)
0 16
76.2%
368 1
 
4.8%
535 1
 
4.8%
648 1
 
4.8%
1373 1
 
4.8%
2220 1
 
4.8%
ValueCountFrequency (%)
2220 1
 
4.8%
1373 1
 
4.8%
648 1
 
4.8%
535 1
 
4.8%
368 1
 
4.8%
0 16
76.2%

165초과 198이하_동호수
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
20 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
0 20
95.2%
2 1
 
4.8%

Length

2024-01-28T21:23:18.589508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T21:23:18.673918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 20
95.2%
2 1
 
4.8%

165초과 198이하_면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
0.0
20 
359.46
 
1

Length

Max length6
Median length3
Mean length3.1428571
Min length3

Unique

Unique1 ?
Unique (%)4.8%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 20
95.2%
359.46 1
 
4.8%

Length

2024-01-28T21:23:18.762722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T21:23:18.854114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 20
95.2%
359.46 1
 
4.8%

165초과 198이하_금액(백만원)
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
20 
740
 
1

Length

Max length3
Median length1
Mean length1.0952381
Min length1

Unique

Unique1 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
0 20
95.2%
740 1
 
4.8%

Length

2024-01-28T21:23:18.941980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T21:23:19.026450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 20
95.2%
740 1
 
4.8%

198초과_동호수
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
20 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
0 20
95.2%
1 1
 
4.8%

Length

2024-01-28T21:23:19.106706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T21:23:19.195791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 20
95.2%
1 1
 
4.8%

198초과_면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
0.0
20 
4218138.5
 
1

Length

Max length9
Median length3
Mean length3.2857143
Min length3

Unique

Unique1 ?
Unique (%)4.8%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 20
95.2%
4218138.5 1
 
4.8%

Length

2024-01-28T21:23:19.282470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T21:23:19.374826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 20
95.2%
4218138.5 1
 
4.8%

198초과_금액(백만원)
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 21
100.0%

Length

2024-01-28T21:23:19.462991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T21:23:19.545568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 21
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-07-31
21 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-07-31
2nd row2023-07-31
3rd row2023-07-31
4th row2023-07-31
5th row2023-07-31

Common Values

ValueCountFrequency (%)
2023-07-31 21
100.0%

Length

2024-01-28T21:23:19.621383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T21:23:19.700169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-07-31 21
100.0%

Sample

행정구역40이하_동호수40이하_면적40이하_금액(백만원)40초과 60이하_동호수40초과 60이하_면적40초과 60이하_금액(백만원)60초과 85이하_동호수60초과 85이하_면적60초과 85이하_금액(백만원)85초과 135이하_동호수85초과 135이하_면적85초과 135이하_금액(백만원)135초과 165이하_동호수135초과 165이하_면적135초과 165이하_금액(백만원)165초과 198이하_동호수165초과 198이하_면적165초과 198이하_금액(백만원)198초과_동호수198초과_면적198초과_금액(백만원)데이터기준일자
0백석동5185.0012674.512112171345.7678284407.8421021152.71137300.0000.002023-07-31
1시천동00.0000.0000.0000.0000.0000.0000.002023-07-31
2검암동00.003172.585506509.2173500.0000.0000.0000.002023-07-31
3경서동240.1802118.722602168.7424800.0000.0000.0000.002023-07-31
4공촌동00.0000.00182.1919000.0000.0000.0000.002023-07-31
5연희동236.4503142.1735000.0000.0000.0000.0000.002023-07-31
6심곡동129.8605299.259855424.66601130.1434000.0000.0000.002023-07-31
7가정동22578.450874125.28530017214485.97650786634.26255000.0000.0014218138.502023-07-31
8신현동00.008443.321753201644.5675555521.3415383468.8764800.0000.002023-07-31
9석남동4142.373339479.61152141057.05126000.0000.0000.0000.002023-07-31
행정구역40이하_동호수40이하_면적40이하_금액(백만원)40초과 60이하_동호수40초과 60이하_면적40초과 60이하_금액(백만원)60초과 85이하_동호수60초과 85이하_면적60초과 85이하_금액(백만원)85초과 135이하_동호수85초과 135이하_면적85초과 135이하_금액(백만원)135초과 165이하_동호수135초과 165이하_면적135초과 165이하_금액(백만원)165초과 198이하_동호수165초과 198이하_면적165초과 198이하_금액(백만원)198초과_동호수198초과_면적198초과_금액(백만원)데이터기준일자
11가좌동9318.51135291512.662805171259.18265000.0000.0000.0000.002023-07-31
12마전동00.0013717.032570201692.7739413355.176761140.45352359.4674000.002023-07-31
13당하동10256.060211031.721140796600.027911393724.05170081136.9536800.0000.002023-07-31
14원당동13442.99853925290.08250871219941.449520303273.581466600.0000.0000.002023-07-31
15대곡동00.0000.0000.0000.0000.0000.0000.002023-07-31
16금곡동00.0000.002169.3173000.0000.0000.0000.002023-07-31
17오류동00.0000.0000.0000.0000.0000.0000.002023-07-31
18왕길동129.880150.99010849.327943324.0671800.0000.0000.002023-07-31
19불로동451614.79023810140.9512520516561.66845312249.0370000.0000.0000.002023-07-31
20청라동00.0013778.84907252090.7213651141577.0580193426.08222000.0000.002023-07-31