Overview

Dataset statistics

Number of variables35
Number of observations150
Missing cells0
Missing cells (%)0.0%
Duplicate rows1
Duplicate rows (%)0.7%
Total size in memory45.8 KiB
Average record size in memory312.9 B

Variable types

Categorical10
Numeric25

Dataset

DescriptionSample
Author고려대학교 세종산학협력단
URLhttps://www.bigdata-telecom.kr/invoke/SOKBP2603/?goodsCode=KRUHOUSE000000000001

Alerts

STDYY has constant value ""Constant
ATPT_NM has constant value ""Constant
NON_SMGU_HOUSE_CO has constant value ""Constant
SIGNGU_NM has constant value ""Constant
Dataset has 1 (0.7%) duplicate rowsDuplicates
PD_1OVER_2BELO_HOUSE_CO is highly imbalanced (89.1%)Imbalance
PD_2OVER_3BELO_HOUSE_CO is highly imbalanced (89.1%)Imbalance
PD_3OVER_4BELO_HOUSE_CO is highly imbalanced (90.1%)Imbalance
PD_4OVER_5BELO_HOUSE_CO is highly imbalanced (92.7%)Imbalance
RWHS_CO has 71 (47.3%) zerosZeros
BSN_PRPOS_ISE_HOUSE_CO has 128 (85.3%) zerosZeros
HOUSE_ELSE_DWLLG_CO has 115 (76.7%) zerosZeros
AR_20BELOW has 124 (82.7%) zerosZeros
AR_20ABOVE_40BELOW_HOUSE_CO has 71 (47.3%) zerosZeros
AR_40ABOVE_60BELOW_HOUSE_CO has 49 (32.7%) zerosZeros
AR_60ABOVE_85BELOW_HOUSE_CO has 28 (18.7%) zerosZeros
AR_85ABOVE_100BELOW_HOUSE_CO has 80 (53.3%) zerosZeros
AR_100ABOVE_130BELOW_HOUSE_CO has 52 (34.7%) zerosZeros
AR_130ABOVE_165BELOW_HOUSE_CO has 61 (40.7%) zerosZeros
AR_165ABOVE_230BELOW_HOUSE_CO has 71 (47.3%) zerosZeros
AR_230OVER has 71 (47.3%) zerosZeros
PD_1BELO_HOUSE_CO has 144 (96.0%) zerosZeros
PD_5OVER_10BELO_HOUSE_CO has 92 (61.3%) zerosZeros
PD_10OVER_15BELO_HOUSE_CO has 52 (34.7%) zerosZeros
PD_15OVER_20BELO_HOUSE_CO has 57 (38.0%) zerosZeros
PD_20OVER_30BELO_HOUSE_CO has 53 (35.3%) zerosZeros
PD_30OVER_40BELO_HOUSE_CO has 85 (56.7%) zerosZeros
PD_40OVER_50BELO_HOUSE_CO has 75 (50.0%) zerosZeros
PD_50ABOVE_HOUSE_CO has 83 (55.3%) zerosZeros
TOT_HOUSE_CO has 9 (6.0%) zerosZeros
MLPXHOU_CO has 51 (34.0%) zerosZeros
SLH_HOS has 44 (29.3%) zerosZeros
APT_CO has 98 (65.3%) zerosZeros

Reproduction

Analysis started2023-12-10 06:13:23.987590
Analysis finished2023-12-10 06:13:24.398802
Duration0.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

STDYY
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2015
150 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2015
2nd row2015
3rd row2015
4th row2015
5th row2015

Common Values

ValueCountFrequency (%)
2015 150
100.0%

Length

2023-12-10T15:13:24.492626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:13:24.685684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2015 150
100.0%

CSOPAR_CODE
Categorical

Distinct3
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
1101060000000
99 
1101070000000
27 
1101050000000
24 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1101070000000
2nd row1101070000000
3rd row1101070000000
4th row1101070000000
5th row1101070000000

Common Values

ValueCountFrequency (%)
1101060000000 99
66.0%
1101070000000 27
 
18.0%
1101050000000 24
 
16.0%

Length

2023-12-10T15:13:24.828308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:13:24.999978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1101060000000 99
66.0%
1101070000000 27
 
18.0%
1101050000000 24
 
16.0%

RWHS_CO
Real number (ℝ)

ZEROS 

Distinct53
Distinct (%)35.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.266667
Minimum0
Maximum176
Zeros71
Zeros (%)47.3%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:13:25.247506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8
Q336.75
95-th percentile124.2
Maximum176
Range176
Interquartile range (IQR)36.75

Descriptive statistics

Standard deviation40.217974
Coefficient of variation (CV)1.5311412
Kurtosis3.3470086
Mean26.266667
Median Absolute Deviation (MAD)8
Skewness1.9505468
Sum3940
Variance1617.4855
MonotonicityNot monotonic
2023-12-10T15:13:25.532363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 71
47.3%
8 5
 
3.3%
12 5
 
3.3%
14 4
 
2.7%
55 3
 
2.0%
36 3
 
2.0%
29 3
 
2.0%
19 2
 
1.3%
39 2
 
1.3%
23 2
 
1.3%
Other values (43) 50
33.3%
ValueCountFrequency (%)
0 71
47.3%
7 1
 
0.7%
8 5
 
3.3%
9 2
 
1.3%
12 5
 
3.3%
14 4
 
2.7%
16 1
 
0.7%
17 1
 
0.7%
19 2
 
1.3%
20 1
 
0.7%
ValueCountFrequency (%)
176 1
0.7%
168 1
0.7%
165 1
0.7%
157 1
0.7%
133 1
0.7%
129 1
0.7%
126 2
1.3%
122 1
0.7%
119 1
0.7%
109 1
0.7%

BSN_PRPOS_ISE_HOUSE_CO
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.98
Minimum0
Maximum13
Zeros128
Zeros (%)85.3%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:13:25.729086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7
Maximum13
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.5236333
Coefficient of variation (CV)2.575136
Kurtosis6.1994016
Mean0.98
Median Absolute Deviation (MAD)0
Skewness2.6027668
Sum147
Variance6.3687248
MonotonicityNot monotonic
2023-12-10T15:13:25.913985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 128
85.3%
5 12
 
8.0%
9 2
 
1.3%
8 2
 
1.3%
7 2
 
1.3%
10 2
 
1.3%
6 1
 
0.7%
13 1
 
0.7%
ValueCountFrequency (%)
0 128
85.3%
5 12
 
8.0%
6 1
 
0.7%
7 2
 
1.3%
8 2
 
1.3%
9 2
 
1.3%
10 2
 
1.3%
13 1
 
0.7%
ValueCountFrequency (%)
13 1
 
0.7%
10 2
 
1.3%
9 2
 
1.3%
8 2
 
1.3%
7 2
 
1.3%
6 1
 
0.7%
5 12
 
8.0%
0 128
85.3%

HOUSE_ELSE_DWLLG_CO
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)14.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.6133333
Minimum0
Maximum278
Zeros115
Zeros (%)76.7%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:13:26.073532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile27.1
Maximum278
Range278
Interquartile range (IQR)0

Descriptive statistics

Standard deviation27.505896
Coefficient of variation (CV)4.1591577
Kurtosis68.744981
Mean6.6133333
Median Absolute Deviation (MAD)0
Skewness7.7144334
Sum992
Variance756.57432
MonotonicityNot monotonic
2023-12-10T15:13:26.251204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 115
76.7%
5 5
 
3.3%
8 5
 
3.3%
10 3
 
2.0%
6 3
 
2.0%
44 2
 
1.3%
7 2
 
1.3%
9 1
 
0.7%
26 1
 
0.7%
23 1
 
0.7%
Other values (12) 12
 
8.0%
ValueCountFrequency (%)
0 115
76.7%
5 5
 
3.3%
6 3
 
2.0%
7 2
 
1.3%
8 5
 
3.3%
9 1
 
0.7%
10 3
 
2.0%
11 1
 
0.7%
12 1
 
0.7%
14 1
 
0.7%
ValueCountFrequency (%)
278 1
0.7%
148 1
0.7%
91 1
0.7%
45 1
0.7%
44 2
1.3%
38 1
0.7%
28 1
0.7%
26 1
0.7%
23 1
0.7%
22 1
0.7%

AR_20BELOW
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6133333
Minimum0
Maximum17
Zeros124
Zeros (%)82.7%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:13:26.450902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile11.55
Maximum17
Range17
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.8630701
Coefficient of variation (CV)2.394465
Kurtosis5.0490188
Mean1.6133333
Median Absolute Deviation (MAD)0
Skewness2.4244621
Sum242
Variance14.923311
MonotonicityNot monotonic
2023-12-10T15:13:26.657078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 124
82.7%
7 5
 
3.3%
5 4
 
2.7%
6 3
 
2.0%
13 3
 
2.0%
9 2
 
1.3%
17 2
 
1.3%
8 2
 
1.3%
12 1
 
0.7%
15 1
 
0.7%
Other values (3) 3
 
2.0%
ValueCountFrequency (%)
0 124
82.7%
5 4
 
2.7%
6 3
 
2.0%
7 5
 
3.3%
8 2
 
1.3%
9 2
 
1.3%
10 1
 
0.7%
11 1
 
0.7%
12 1
 
0.7%
13 3
 
2.0%
ValueCountFrequency (%)
17 2
 
1.3%
15 1
 
0.7%
14 1
 
0.7%
13 3
2.0%
12 1
 
0.7%
11 1
 
0.7%
10 1
 
0.7%
9 2
 
1.3%
8 2
 
1.3%
7 5
3.3%

AR_20ABOVE_40BELOW_HOUSE_CO
Real number (ℝ)

ZEROS 

Distinct40
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.8
Minimum0
Maximum268
Zeros71
Zeros (%)47.3%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:13:26.868768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5.5
Q325
95-th percentile71.75
Maximum268
Range268
Interquartile range (IQR)25

Descriptive statistics

Standard deviation35.326474
Coefficient of variation (CV)1.9846333
Kurtosis30.87557
Mean17.8
Median Absolute Deviation (MAD)5.5
Skewness4.9095783
Sum2670
Variance1247.9597
MonotonicityNot monotonic
2023-12-10T15:13:27.449466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
0 71
47.3%
12 6
 
4.0%
17 6
 
4.0%
30 4
 
2.7%
15 4
 
2.7%
5 4
 
2.7%
29 3
 
2.0%
28 3
 
2.0%
10 3
 
2.0%
33 3
 
2.0%
Other values (30) 43
28.7%
ValueCountFrequency (%)
0 71
47.3%
5 4
 
2.7%
6 3
 
2.0%
7 1
 
0.7%
8 1
 
0.7%
9 1
 
0.7%
10 3
 
2.0%
11 1
 
0.7%
12 6
 
4.0%
14 3
 
2.0%
ValueCountFrequency (%)
268 1
0.7%
261 1
0.7%
102 1
0.7%
86 1
0.7%
83 1
0.7%
82 1
0.7%
74 2
1.3%
69 1
0.7%
50 1
0.7%
46 2
1.3%

AR_40ABOVE_60BELOW_HOUSE_CO
Real number (ℝ)

ZEROS 

Distinct66
Distinct (%)44.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.8
Minimum0
Maximum165
Zeros49
Zeros (%)32.7%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:13:27.651870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median16
Q357.75
95-th percentile100
Maximum165
Range165
Interquartile range (IQR)57.75

Descriptive statistics

Standard deviation37.093207
Coefficient of variation (CV)1.1664531
Kurtosis0.75147312
Mean31.8
Median Absolute Deviation (MAD)16
Skewness1.2087941
Sum4770
Variance1375.906
MonotonicityNot monotonic
2023-12-10T15:13:27.857401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 49
32.7%
10 5
 
3.3%
16 5
 
3.3%
32 4
 
2.7%
13 4
 
2.7%
41 3
 
2.0%
96 3
 
2.0%
14 3
 
2.0%
15 3
 
2.0%
7 3
 
2.0%
Other values (56) 68
45.3%
ValueCountFrequency (%)
0 49
32.7%
5 1
 
0.7%
6 1
 
0.7%
7 3
 
2.0%
8 1
 
0.7%
10 5
 
3.3%
11 2
 
1.3%
12 1
 
0.7%
13 4
 
2.7%
14 3
 
2.0%
ValueCountFrequency (%)
165 1
0.7%
148 1
0.7%
125 1
0.7%
119 1
0.7%
118 1
0.7%
111 1
0.7%
103 1
0.7%
100 2
1.3%
99 1
0.7%
98 1
0.7%

AR_60ABOVE_85BELOW_HOUSE_CO
Real number (ℝ)

ZEROS 

Distinct65
Distinct (%)43.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.593333
Minimum0
Maximum198
Zeros28
Zeros (%)18.7%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:13:28.062655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19.25
median25
Q344.75
95-th percentile97.1
Maximum198
Range198
Interquartile range (IQR)35.5

Descriptive statistics

Standard deviation33.240046
Coefficient of variation (CV)1.0198419
Kurtosis4.725276
Mean32.593333
Median Absolute Deviation (MAD)17
Skewness1.8391648
Sum4889
Variance1104.9006
MonotonicityNot monotonic
2023-12-10T15:13:28.277820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 28
 
18.7%
18 5
 
3.3%
26 4
 
2.7%
34 4
 
2.7%
22 4
 
2.7%
16 4
 
2.7%
33 4
 
2.7%
36 4
 
2.7%
14 3
 
2.0%
13 3
 
2.0%
Other values (55) 87
58.0%
ValueCountFrequency (%)
0 28
18.7%
5 3
 
2.0%
6 2
 
1.3%
8 3
 
2.0%
9 2
 
1.3%
10 3
 
2.0%
11 1
 
0.7%
12 1
 
0.7%
13 3
 
2.0%
14 3
 
2.0%
ValueCountFrequency (%)
198 1
0.7%
146 1
0.7%
141 1
0.7%
118 1
0.7%
117 1
0.7%
112 1
0.7%
109 1
0.7%
98 1
0.7%
96 1
0.7%
91 1
0.7%

AR_85ABOVE_100BELOW_HOUSE_CO
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)12.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.08
Minimum0
Maximum103
Zeros80
Zeros (%)53.3%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:13:28.445133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q39
95-th percentile17.65
Maximum103
Range103
Interquartile range (IQR)9

Descriptive statistics

Standard deviation12.620171
Coefficient of variation (CV)2.0756861
Kurtosis36.499149
Mean6.08
Median Absolute Deviation (MAD)0
Skewness5.4285041
Sum912
Variance159.26872
MonotonicityNot monotonic
2023-12-10T15:13:28.593991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 80
53.3%
5 10
 
6.7%
9 8
 
5.3%
7 8
 
5.3%
8 7
 
4.7%
6 6
 
4.0%
14 6
 
4.0%
10 5
 
3.3%
13 4
 
2.7%
16 3
 
2.0%
Other values (9) 13
 
8.7%
ValueCountFrequency (%)
0 80
53.3%
5 10
 
6.7%
6 6
 
4.0%
7 8
 
5.3%
8 7
 
4.7%
9 8
 
5.3%
10 5
 
3.3%
11 2
 
1.3%
12 3
 
2.0%
13 4
 
2.7%
ValueCountFrequency (%)
103 1
 
0.7%
91 1
 
0.7%
47 1
 
0.7%
28 1
 
0.7%
22 1
 
0.7%
20 2
 
1.3%
19 1
 
0.7%
16 3
2.0%
14 6
4.0%
13 4
2.7%

AR_100ABOVE_130BELOW_HOUSE_CO
Real number (ℝ)

ZEROS 

Distinct39
Distinct (%)26.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.693333
Minimum0
Maximum92
Zeros52
Zeros (%)34.7%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:13:28.874171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8.5
Q315.75
95-th percentile56
Maximum92
Range92
Interquartile range (IQR)15.75

Descriptive statistics

Standard deviation18.772015
Coefficient of variation (CV)1.3708872
Kurtosis4.9943254
Mean13.693333
Median Absolute Deviation (MAD)8.5
Skewness2.2094939
Sum2054
Variance352.38855
MonotonicityNot monotonic
2023-12-10T15:13:29.096462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0 52
34.7%
8 9
 
6.0%
13 9
 
6.0%
12 8
 
5.3%
5 7
 
4.7%
16 6
 
4.0%
9 6
 
4.0%
14 4
 
2.7%
7 4
 
2.7%
15 4
 
2.7%
Other values (29) 41
27.3%
ValueCountFrequency (%)
0 52
34.7%
5 7
 
4.7%
6 3
 
2.0%
7 4
 
2.7%
8 9
 
6.0%
9 6
 
4.0%
10 3
 
2.0%
11 3
 
2.0%
12 8
 
5.3%
13 9
 
6.0%
ValueCountFrequency (%)
92 1
0.7%
86 1
0.7%
83 1
0.7%
75 1
0.7%
73 1
0.7%
63 1
0.7%
61 1
0.7%
56 2
1.3%
55 1
0.7%
52 1
0.7%

AR_130ABOVE_165BELOW_HOUSE_CO
Real number (ℝ)

ZEROS 

Distinct38
Distinct (%)25.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.413333
Minimum0
Maximum198
Zeros61
Zeros (%)40.7%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:13:29.343074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7
Q314.75
95-th percentile54
Maximum198
Range198
Interquartile range (IQR)14.75

Descriptive statistics

Standard deviation24.123337
Coefficient of variation (CV)1.7984595
Kurtosis25.007587
Mean13.413333
Median Absolute Deviation (MAD)7
Skewness4.2334002
Sum2012
Variance581.93539
MonotonicityNot monotonic
2023-12-10T15:13:29.562966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0 61
40.7%
7 9
 
6.0%
10 7
 
4.7%
6 6
 
4.0%
8 5
 
3.3%
12 5
 
3.3%
5 5
 
3.3%
11 5
 
3.3%
9 4
 
2.7%
22 4
 
2.7%
Other values (28) 39
26.0%
ValueCountFrequency (%)
0 61
40.7%
5 5
 
3.3%
6 6
 
4.0%
7 9
 
6.0%
8 5
 
3.3%
9 4
 
2.7%
10 7
 
4.7%
11 5
 
3.3%
12 5
 
3.3%
13 3
 
2.0%
ValueCountFrequency (%)
198 1
0.7%
113 1
0.7%
89 1
0.7%
84 1
0.7%
82 1
0.7%
63 1
0.7%
55 1
0.7%
54 2
1.3%
50 1
0.7%
44 1
0.7%

ADSTRD_CODE
Real number (ℝ)

Distinct8
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1110552 × 109
Minimum1.1110515 × 109
Maximum1.11106 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:13:29.742700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.1110515 × 109
5-th percentile1.1110515 × 109
Q11.111053 × 109
median1.111056 × 109
Q31.111057 × 109
95-th percentile1.111058 × 109
Maximum1.11106 × 109
Range8500
Interquartile range (IQR)4000

Descriptive statistics

Standard deviation2374.8896
Coefficient of variation (CV)2.1375083 × 10-6
Kurtosis-0.84573224
Mean1.1110552 × 109
Median Absolute Deviation (MAD)2000
Skewness-0.1083188
Sum1.6665827 × 1011
Variance5640100.7
MonotonicityIncreasing
2023-12-10T15:13:29.930122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1111056000 36
24.0%
1111051500 27
18.0%
1111055000 21
14.0%
1111058000 21
14.0%
1111053000 18
12.0%
1111057000 15
10.0%
1111054000 6
 
4.0%
1111060000 6
 
4.0%
ValueCountFrequency (%)
1111051500 27
18.0%
1111053000 18
12.0%
1111054000 6
 
4.0%
1111055000 21
14.0%
1111056000 36
24.0%
1111057000 15
10.0%
1111058000 21
14.0%
1111060000 6
 
4.0%
ValueCountFrequency (%)
1111060000 6
 
4.0%
1111058000 21
14.0%
1111057000 15
10.0%
1111056000 36
24.0%
1111055000 21
14.0%
1111054000 6
 
4.0%
1111053000 18
12.0%
1111051500 27
18.0%

AR_165ABOVE_230BELOW_HOUSE_CO
Real number (ℝ)

ZEROS 

Distinct35
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.98
Minimum0
Maximum83
Zeros71
Zeros (%)47.3%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:13:30.110309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q314.75
95-th percentile39.55
Maximum83
Range83
Interquartile range (IQR)14.75

Descriptive statistics

Standard deviation14.620694
Coefficient of variation (CV)1.4649994
Kurtosis5.3186392
Mean9.98
Median Absolute Deviation (MAD)5
Skewness2.1255318
Sum1497
Variance213.7647
MonotonicityNot monotonic
2023-12-10T15:13:30.285479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 71
47.3%
15 7
 
4.7%
5 7
 
4.7%
9 6
 
4.0%
7 6
 
4.0%
8 6
 
4.0%
30 4
 
2.7%
11 3
 
2.0%
10 3
 
2.0%
12 3
 
2.0%
Other values (25) 34
22.7%
ValueCountFrequency (%)
0 71
47.3%
5 7
 
4.7%
6 2
 
1.3%
7 6
 
4.0%
8 6
 
4.0%
9 6
 
4.0%
10 3
 
2.0%
11 3
 
2.0%
12 3
 
2.0%
13 3
 
2.0%
ValueCountFrequency (%)
83 1
0.7%
59 1
0.7%
58 1
0.7%
57 1
0.7%
48 1
0.7%
47 1
0.7%
45 1
0.7%
40 1
0.7%
39 1
0.7%
37 1
0.7%

AR_230OVER
Real number (ℝ)

ZEROS 

Distinct32
Distinct (%)21.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.7066667
Minimum0
Maximum133
Zeros71
Zeros (%)47.3%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:13:30.472936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q310
95-th percentile37.4
Maximum133
Range133
Interquartile range (IQR)10

Descriptive statistics

Standard deviation18.236164
Coefficient of variation (CV)1.8787257
Kurtosis18.92798
Mean9.7066667
Median Absolute Deviation (MAD)5
Skewness3.8993336
Sum1456
Variance332.55767
MonotonicityNot monotonic
2023-12-10T15:13:30.653486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 71
47.3%
10 10
 
6.7%
7 9
 
6.0%
5 7
 
4.7%
8 6
 
4.0%
9 6
 
4.0%
6 4
 
2.7%
11 4
 
2.7%
16 3
 
2.0%
17 3
 
2.0%
Other values (22) 27
 
18.0%
ValueCountFrequency (%)
0 71
47.3%
5 7
 
4.7%
6 4
 
2.7%
7 9
 
6.0%
8 6
 
4.0%
9 6
 
4.0%
10 10
 
6.7%
11 4
 
2.7%
12 2
 
1.3%
13 1
 
0.7%
ValueCountFrequency (%)
133 1
0.7%
91 1
0.7%
85 1
0.7%
83 1
0.7%
57 1
0.7%
52 1
0.7%
45 1
0.7%
41 1
0.7%
33 1
0.7%
29 2
1.3%

PD_1BELO_HOUSE_CO
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.32
Minimum0
Maximum151
Zeros144
Zeros (%)96.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:13:30.797742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum151
Range151
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12.437937
Coefficient of variation (CV)9.4226797
Kurtosis143.49846
Mean1.32
Median Absolute Deviation (MAD)0
Skewness11.869548
Sum198
Variance154.70228
MonotonicityNot monotonic
2023-12-10T15:13:30.961844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 144
96.0%
7 2
 
1.3%
11 1
 
0.7%
16 1
 
0.7%
6 1
 
0.7%
151 1
 
0.7%
ValueCountFrequency (%)
0 144
96.0%
6 1
 
0.7%
7 2
 
1.3%
11 1
 
0.7%
16 1
 
0.7%
151 1
 
0.7%
ValueCountFrequency (%)
151 1
 
0.7%
16 1
 
0.7%
11 1
 
0.7%
7 2
 
1.3%
6 1
 
0.7%
0 144
96.0%

PD_1OVER_2BELO_HOUSE_CO
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
0
146 
5
 
2
20
 
1
10
 
1

Length

Max length2
Median length1
Mean length1.0133333
Min length1

Unique

Unique2 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 146
97.3%
5 2
 
1.3%
20 1
 
0.7%
10 1
 
0.7%

Length

2023-12-10T15:13:31.165837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:13:31.353639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 146
97.3%
5 2
 
1.3%
20 1
 
0.7%
10 1
 
0.7%

PD_2OVER_3BELO_HOUSE_CO
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
0
146 
9
 
2
7
 
1
19
 
1

Length

Max length2
Median length1
Mean length1.0066667
Min length1

Unique

Unique2 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 146
97.3%
9 2
 
1.3%
7 1
 
0.7%
19 1
 
0.7%

Length

2023-12-10T15:13:31.504052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:13:31.652192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 146
97.3%
9 2
 
1.3%
7 1
 
0.7%
19 1
 
0.7%

PD_3OVER_4BELO_HOUSE_CO
Categorical

IMBALANCE 

Distinct5
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
0
146 
19
 
1
9
 
1
11
 
1
6
 
1

Length

Max length2
Median length1
Mean length1.0133333
Min length1

Unique

Unique4 ?
Unique (%)2.7%

Sample

1st row19
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 146
97.3%
19 1
 
0.7%
9 1
 
0.7%
11 1
 
0.7%
6 1
 
0.7%

Length

2023-12-10T15:13:31.814992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:13:31.972556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 146
97.3%
19 1
 
0.7%
9 1
 
0.7%
11 1
 
0.7%
6 1
 
0.7%

PD_4OVER_5BELO_HOUSE_CO
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
0
148 
16
 
1
15
 
1

Length

Max length2
Median length1
Mean length1.0133333
Min length1

Unique

Unique2 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 148
98.7%
16 1
 
0.7%
15 1
 
0.7%

Length

2023-12-10T15:13:32.196003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:13:32.377499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 148
98.7%
16 1
 
0.7%
15 1
 
0.7%

PD_5OVER_10BELO_HOUSE_CO
Real number (ℝ)

ZEROS 

Distinct32
Distinct (%)21.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.173333
Minimum0
Maximum234
Zeros92
Zeros (%)61.3%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:13:32.526410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q38
95-th percentile147.55
Maximum234
Range234
Interquartile range (IQR)8

Descriptive statistics

Standard deviation43.345304
Coefficient of variation (CV)2.6800477
Kurtosis10.618699
Mean16.173333
Median Absolute Deviation (MAD)0
Skewness3.3716506
Sum2426
Variance1878.8154
MonotonicityNot monotonic
2023-12-10T15:13:32.724049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 92
61.3%
8 8
 
5.3%
7 5
 
3.3%
5 5
 
3.3%
11 3
 
2.0%
12 3
 
2.0%
6 3
 
2.0%
198 2
 
1.3%
16 2
 
1.3%
10 2
 
1.3%
Other values (22) 25
 
16.7%
ValueCountFrequency (%)
0 92
61.3%
5 5
 
3.3%
6 3
 
2.0%
7 5
 
3.3%
8 8
 
5.3%
9 1
 
0.7%
10 2
 
1.3%
11 3
 
2.0%
12 3
 
2.0%
13 2
 
1.3%
ValueCountFrequency (%)
234 1
0.7%
198 2
1.3%
165 1
0.7%
155 1
0.7%
154 1
0.7%
152 1
0.7%
148 1
0.7%
147 1
0.7%
138 1
0.7%
112 1
0.7%

PD_10OVER_15BELO_HOUSE_CO
Real number (ℝ)

ZEROS 

Distinct54
Distinct (%)36.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.84
Minimum0
Maximum155
Zeros52
Zeros (%)34.7%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:13:33.000807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median14
Q326.75
95-th percentile102.7
Maximum155
Range155
Interquartile range (IQR)26.75

Descriptive statistics

Standard deviation32.374918
Coefficient of variation (CV)1.4174658
Kurtosis4.9489242
Mean22.84
Median Absolute Deviation (MAD)14
Skewness2.2245735
Sum3426
Variance1048.1353
MonotonicityNot monotonic
2023-12-10T15:13:33.233943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 52
34.7%
21 5
 
3.3%
17 5
 
3.3%
18 4
 
2.7%
30 4
 
2.7%
19 4
 
2.7%
25 4
 
2.7%
5 4
 
2.7%
6 3
 
2.0%
14 3
 
2.0%
Other values (44) 62
41.3%
ValueCountFrequency (%)
0 52
34.7%
5 4
 
2.7%
6 3
 
2.0%
7 2
 
1.3%
8 2
 
1.3%
9 2
 
1.3%
10 1
 
0.7%
11 3
 
2.0%
12 2
 
1.3%
13 3
 
2.0%
ValueCountFrequency (%)
155 1
0.7%
149 1
0.7%
138 1
0.7%
133 1
0.7%
116 2
1.3%
111 1
0.7%
109 1
0.7%
95 1
0.7%
90 1
0.7%
82 1
0.7%

PD_15OVER_20BELO_HOUSE_CO
Real number (ℝ)

ZEROS 

Distinct61
Distinct (%)40.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.68
Minimum0
Maximum339
Zeros57
Zeros (%)38.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:13:33.484015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median11.5
Q333
95-th percentile160.1
Maximum339
Range339
Interquartile range (IQR)33

Descriptive statistics

Standard deviation56.207707
Coefficient of variation (CV)1.6688749
Kurtosis7.7525918
Mean33.68
Median Absolute Deviation (MAD)11.5
Skewness2.5792097
Sum5052
Variance3159.3063
MonotonicityNot monotonic
2023-12-10T15:13:33.729385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 57
38.0%
9 4
 
2.7%
14 4
 
2.7%
11 4
 
2.7%
13 3
 
2.0%
7 3
 
2.0%
20 3
 
2.0%
21 3
 
2.0%
33 3
 
2.0%
16 3
 
2.0%
Other values (51) 63
42.0%
ValueCountFrequency (%)
0 57
38.0%
5 2
 
1.3%
6 2
 
1.3%
7 3
 
2.0%
8 2
 
1.3%
9 4
 
2.7%
10 1
 
0.7%
11 4
 
2.7%
12 1
 
0.7%
13 3
 
2.0%
ValueCountFrequency (%)
339 1
0.7%
261 1
0.7%
207 1
0.7%
192 1
0.7%
187 1
0.7%
176 1
0.7%
171 1
0.7%
161 1
0.7%
159 1
0.7%
147 1
0.7%

ATPT_NM
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
서울
150 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서울 150
100.0%

Length

2023-12-10T15:13:33.958344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:13:34.133526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울 150
100.0%

PD_20OVER_30BELO_HOUSE_CO
Real number (ℝ)

ZEROS 

Distinct56
Distinct (%)37.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.053333
Minimum0
Maximum156
Zeros53
Zeros (%)35.3%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:13:34.298987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median12.5
Q340.5
95-th percentile99.55
Maximum156
Range156
Interquartile range (IQR)40.5

Descriptive statistics

Standard deviation34.939408
Coefficient of variation (CV)1.3410725
Kurtosis3.131278
Mean26.053333
Median Absolute Deviation (MAD)12.5
Skewness1.8150262
Sum3908
Variance1220.7622
MonotonicityNot monotonic
2023-12-10T15:13:34.542787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 53
35.3%
6 6
 
4.0%
13 5
 
3.3%
20 5
 
3.3%
9 4
 
2.7%
25 3
 
2.0%
126 3
 
2.0%
48 3
 
2.0%
24 3
 
2.0%
7 3
 
2.0%
Other values (46) 62
41.3%
ValueCountFrequency (%)
0 53
35.3%
5 2
 
1.3%
6 6
 
4.0%
7 3
 
2.0%
9 4
 
2.7%
10 3
 
2.0%
11 3
 
2.0%
12 1
 
0.7%
13 5
 
3.3%
14 1
 
0.7%
ValueCountFrequency (%)
156 1
 
0.7%
154 1
 
0.7%
149 1
 
0.7%
126 3
2.0%
109 1
 
0.7%
100 1
 
0.7%
99 1
 
0.7%
98 1
 
0.7%
96 1
 
0.7%
86 1
 
0.7%

PD_30OVER_40BELO_HOUSE_CO
Real number (ℝ)

ZEROS 

Distinct37
Distinct (%)24.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.313333
Minimum0
Maximum141
Zeros85
Zeros (%)56.7%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:13:35.160027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q313
95-th percentile48.75
Maximum141
Range141
Interquartile range (IQR)13

Descriptive statistics

Standard deviation21.908638
Coefficient of variation (CV)1.9365325
Kurtosis12.79255
Mean11.313333
Median Absolute Deviation (MAD)0
Skewness3.2162103
Sum1697
Variance479.98841
MonotonicityNot monotonic
2023-12-10T15:13:35.395774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0 85
56.7%
5 7
 
4.7%
10 5
 
3.3%
8 4
 
2.7%
45 3
 
2.0%
11 3
 
2.0%
13 3
 
2.0%
6 3
 
2.0%
23 3
 
2.0%
22 3
 
2.0%
Other values (27) 31
 
20.7%
ValueCountFrequency (%)
0 85
56.7%
5 7
 
4.7%
6 3
 
2.0%
7 2
 
1.3%
8 4
 
2.7%
9 1
 
0.7%
10 5
 
3.3%
11 3
 
2.0%
12 1
 
0.7%
13 3
 
2.0%
ValueCountFrequency (%)
141 1
 
0.7%
119 1
 
0.7%
97 1
 
0.7%
74 1
 
0.7%
70 1
 
0.7%
63 1
 
0.7%
56 1
 
0.7%
51 1
 
0.7%
46 2
1.3%
45 3
2.0%

PD_40OVER_50BELO_HOUSE_CO
Real number (ℝ)

ZEROS 

Distinct32
Distinct (%)21.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.0866667
Minimum0
Maximum79
Zeros75
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:13:35.621730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2.5
Q313
95-th percentile33
Maximum79
Range79
Interquartile range (IQR)13

Descriptive statistics

Standard deviation13.439867
Coefficient of variation (CV)1.4790756
Kurtosis7.3259
Mean9.0866667
Median Absolute Deviation (MAD)2.5
Skewness2.3643173
Sum1363
Variance180.63002
MonotonicityNot monotonic
2023-12-10T15:13:35.840694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 75
50.0%
10 8
 
5.3%
5 6
 
4.0%
13 6
 
4.0%
12 5
 
3.3%
15 4
 
2.7%
20 4
 
2.7%
22 4
 
2.7%
14 3
 
2.0%
11 3
 
2.0%
Other values (22) 32
21.3%
ValueCountFrequency (%)
0 75
50.0%
5 6
 
4.0%
6 2
 
1.3%
7 3
 
2.0%
8 3
 
2.0%
9 2
 
1.3%
10 8
 
5.3%
11 3
 
2.0%
12 5
 
3.3%
13 6
 
4.0%
ValueCountFrequency (%)
79 1
0.7%
62 1
0.7%
61 1
0.7%
57 1
0.7%
40 1
0.7%
38 1
0.7%
34 1
0.7%
33 2
1.3%
32 1
0.7%
31 1
0.7%

PD_50ABOVE_HOUSE_CO
Real number (ℝ)

ZEROS 

Distinct45
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.453333
Minimum0
Maximum106
Zeros83
Zeros (%)55.3%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:13:36.081867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q317.75
95-th percentile68.55
Maximum106
Range106
Interquartile range (IQR)17.75

Descriptive statistics

Standard deviation23.486277
Coefficient of variation (CV)1.624973
Kurtosis1.9611508
Mean14.453333
Median Absolute Deviation (MAD)0
Skewness1.7043078
Sum2168
Variance551.60519
MonotonicityNot monotonic
2023-12-10T15:13:36.307851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
0 83
55.3%
5 5
 
3.3%
6 4
 
2.7%
10 3
 
2.0%
8 3
 
2.0%
55 3
 
2.0%
22 3
 
2.0%
9 2
 
1.3%
45 2
 
1.3%
7 2
 
1.3%
Other values (35) 40
26.7%
ValueCountFrequency (%)
0 83
55.3%
5 5
 
3.3%
6 4
 
2.7%
7 2
 
1.3%
8 3
 
2.0%
9 2
 
1.3%
10 3
 
2.0%
11 2
 
1.3%
12 1
 
0.7%
13 1
 
0.7%
ValueCountFrequency (%)
106 1
0.7%
87 1
0.7%
75 1
0.7%
72 2
1.3%
70 2
1.3%
69 1
0.7%
68 1
0.7%
67 1
0.7%
65 1
0.7%
62 1
0.7%

NON_SMGU_HOUSE_CO
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
0
150 

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 (%)
0 150
100.0%

Length

2023-12-10T15:13:36.502334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:13:36.648429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 150
100.0%

SIGNGU_NM
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
종로구
150 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
종로구 150
100.0%

Length

2023-12-10T15:13:36.778035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:13:36.933937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
종로구 150
100.0%

ADSTRD_NM
Categorical

Distinct8
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
평창동
36 
청운효자동
27 
부암동
21 
교남동
21 
사직동
18 
Other values (3)
27 

Length

Max length5
Median length3
Mean length3.36
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
평창동 36
24.0%
청운효자동 27
18.0%
부암동 21
14.0%
교남동 21
14.0%
사직동 18
12.0%
무악동 15
10.0%
삼청동 6
 
4.0%
가회동 6
 
4.0%

Length

2023-12-10T15:13:37.099483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:13:37.291242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
평창동 36
24.0%
청운효자동 27
18.0%
부암동 21
14.0%
교남동 21
14.0%
사직동 18
12.0%
무악동 15
10.0%
삼청동 6
 
4.0%
가회동 6
 
4.0%

TOT_HOUSE_CO
Real number (ℝ)

ZEROS 

Distinct96
Distinct (%)64.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean140.14
Minimum0
Maximum339
Zeros9
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:13:37.651824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1119
median143
Q3174.25
95-th percentile216.65
Maximum339
Range339
Interquartile range (IQR)55.25

Descriptive statistics

Standard deviation58.282007
Coefficient of variation (CV)0.41588417
Kurtosis1.5608965
Mean140.14
Median Absolute Deviation (MAD)28
Skewness-0.5167596
Sum21021
Variance3396.7923
MonotonicityNot monotonic
2023-12-10T15:13:37.898527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9
 
6.0%
161 4
 
2.7%
143 4
 
2.7%
155 4
 
2.7%
151 4
 
2.7%
131 4
 
2.7%
130 3
 
2.0%
176 3
 
2.0%
213 2
 
1.3%
137 2
 
1.3%
Other values (86) 111
74.0%
ValueCountFrequency (%)
0 9
6.0%
1 1
 
0.7%
2 1
 
0.7%
9 1
 
0.7%
22 1
 
0.7%
48 1
 
0.7%
70 1
 
0.7%
72 1
 
0.7%
90 1
 
0.7%
96 1
 
0.7%
ValueCountFrequency (%)
339 1
0.7%
272 1
0.7%
261 1
0.7%
254 1
0.7%
234 1
0.7%
220 1
0.7%
219 1
0.7%
218 1
0.7%
215 1
0.7%
213 2
1.3%

MLPXHOU_CO
Real number (ℝ)

ZEROS 

Distinct72
Distinct (%)48.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.053333
Minimum0
Maximum214
Zeros51
Zeros (%)34.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:13:38.156187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median19.5
Q348.75
95-th percentile138.55
Maximum214
Range214
Interquartile range (IQR)48.75

Descriptive statistics

Standard deviation46.149129
Coefficient of variation (CV)1.3165404
Kurtosis2.9577446
Mean35.053333
Median Absolute Deviation (MAD)19.5
Skewness1.7955439
Sum5258
Variance2129.7421
MonotonicityNot monotonic
2023-12-10T15:13:38.367550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 51
34.0%
11 5
 
3.3%
37 4
 
2.7%
23 3
 
2.0%
10 3
 
2.0%
26 3
 
2.0%
52 2
 
1.3%
25 2
 
1.3%
14 2
 
1.3%
13 2
 
1.3%
Other values (62) 73
48.7%
ValueCountFrequency (%)
0 51
34.0%
5 1
 
0.7%
6 2
 
1.3%
7 2
 
1.3%
9 2
 
1.3%
10 3
 
2.0%
11 5
 
3.3%
13 2
 
1.3%
14 2
 
1.3%
15 1
 
0.7%
ValueCountFrequency (%)
214 1
0.7%
200 1
0.7%
176 1
0.7%
172 1
0.7%
164 1
0.7%
160 1
0.7%
148 1
0.7%
139 1
0.7%
138 1
0.7%
129 1
0.7%

SLH_HOS
Real number (ℝ)

ZEROS 

Distinct70
Distinct (%)46.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.666667
Minimum0
Maximum168
Zeros44
Zeros (%)29.3%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:13:38.569435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median32
Q363.75
95-th percentile118
Maximum168
Range168
Interquartile range (IQR)63.75

Descriptive statistics

Standard deviation41.867427
Coefficient of variation (CV)1.0295269
Kurtosis0.051302089
Mean40.666667
Median Absolute Deviation (MAD)32
Skewness0.9460961
Sum6100
Variance1752.8814
MonotonicityNot monotonic
2023-12-10T15:13:38.778190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 44
29.3%
32 5
 
3.3%
34 4
 
2.7%
83 3
 
2.0%
44 3
 
2.0%
23 3
 
2.0%
13 3
 
2.0%
60 3
 
2.0%
22 3
 
2.0%
9 2
 
1.3%
Other values (60) 77
51.3%
ValueCountFrequency (%)
0 44
29.3%
5 1
 
0.7%
6 2
 
1.3%
7 1
 
0.7%
8 1
 
0.7%
9 2
 
1.3%
10 1
 
0.7%
13 3
 
2.0%
15 1
 
0.7%
16 1
 
0.7%
ValueCountFrequency (%)
168 1
0.7%
154 1
0.7%
150 1
0.7%
149 1
0.7%
132 1
0.7%
131 1
0.7%
119 1
0.7%
118 2
1.3%
113 2
1.3%
111 1
0.7%

APT_CO
Real number (ℝ)

ZEROS 

Distinct45
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.073333
Minimum0
Maximum339
Zeros98
Zeros (%)65.3%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:13:38.996595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q328.75
95-th percentile175.55
Maximum339
Range339
Interquartile range (IQR)28.75

Descriptive statistics

Standard deviation67.376344
Coefficient of variation (CV)1.8677604
Kurtosis3.2911367
Mean36.073333
Median Absolute Deviation (MAD)0
Skewness1.9523103
Sum5411
Variance4539.5718
MonotonicityNot monotonic
2023-12-10T15:13:39.208126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
0 98
65.3%
138 3
 
2.0%
18 2
 
1.3%
8 2
 
1.3%
198 2
 
1.3%
147 2
 
1.3%
19 2
 
1.3%
155 2
 
1.3%
161 1
 
0.7%
339 1
 
0.7%
Other values (35) 35
 
23.3%
ValueCountFrequency (%)
0 98
65.3%
8 2
 
1.3%
9 1
 
0.7%
10 1
 
0.7%
12 1
 
0.7%
15 1
 
0.7%
16 1
 
0.7%
17 1
 
0.7%
18 2
 
1.3%
19 2
 
1.3%
ValueCountFrequency (%)
339 1
0.7%
261 1
0.7%
234 1
0.7%
207 1
0.7%
198 2
1.3%
177 1
0.7%
176 1
0.7%
175 1
0.7%
171 1
0.7%
161 1
0.7%

Sample

STDYYCSOPAR_CODERWHS_COBSN_PRPOS_ISE_HOUSE_COHOUSE_ELSE_DWLLG_COAR_20BELOWAR_20ABOVE_40BELOW_HOUSE_COAR_40ABOVE_60BELOW_HOUSE_COAR_60ABOVE_85BELOW_HOUSE_COAR_85ABOVE_100BELOW_HOUSE_COAR_100ABOVE_130BELOW_HOUSE_COAR_130ABOVE_165BELOW_HOUSE_COADSTRD_CODEAR_165ABOVE_230BELOW_HOUSE_COAR_230OVERPD_1BELO_HOUSE_COPD_1OVER_2BELO_HOUSE_COPD_2OVER_3BELO_HOUSE_COPD_3OVER_4BELO_HOUSE_COPD_4OVER_5BELO_HOUSE_COPD_5OVER_10BELO_HOUSE_COPD_10OVER_15BELO_HOUSE_COPD_15OVER_20BELO_HOUSE_COATPT_NMPD_20OVER_30BELO_HOUSE_COPD_30OVER_40BELO_HOUSE_COPD_40OVER_50BELO_HOUSE_COPD_50ABOVE_HOUSE_CONON_SMGU_HOUSE_COSIGNGU_NMADSTRD_NMTOT_HOUSE_COMLPXHOU_COSLH_HOSAPT_CO
02015110107000000019999292526913811110515000600019001813서울1305480종로구청운효자동12819810
12015110107000000048005291185200011110515000000000013365서울00000종로구청운효자동210138168
2201511010700000000009332726125811110515001580000082613서울16520540종로구청운효자동143351040
3201511010700000000006427320056111105150000110000011105서울500220종로구청운효자동157127290
420151101070000000240002567250001111051500090000002793서울00000종로구청운효자동1279760
520151101070000000000030331861112111105150091900000000서울132731650종로구청운효자동142101320
62015110107000000086000886451900111105150000000001132105서울100000종로구청운효자동1626880
7201511010700000002700008461033351111051500162200000113846서울32714220종로구청운효자동175327045
8201511010700000000000664161281111051500131500000161726서울1150250종로구청운효자동107395115
92015110107000000031001250100100001111051500000000008260서울000260종로구청운효자동180114350
STDYYCSOPAR_CODERWHS_COBSN_PRPOS_ISE_HOUSE_COHOUSE_ELSE_DWLLG_COAR_20BELOWAR_20ABOVE_40BELOW_HOUSE_COAR_40ABOVE_60BELOW_HOUSE_COAR_60ABOVE_85BELOW_HOUSE_COAR_85ABOVE_100BELOW_HOUSE_COAR_100ABOVE_130BELOW_HOUSE_COAR_130ABOVE_165BELOW_HOUSE_COADSTRD_CODEAR_165ABOVE_230BELOW_HOUSE_COAR_230OVERPD_1BELO_HOUSE_COPD_1OVER_2BELO_HOUSE_COPD_2OVER_3BELO_HOUSE_COPD_3OVER_4BELO_HOUSE_COPD_4OVER_5BELO_HOUSE_COPD_5OVER_10BELO_HOUSE_COPD_10OVER_15BELO_HOUSE_COPD_15OVER_20BELO_HOUSE_COATPT_NMPD_20OVER_30BELO_HOUSE_COPD_30OVER_40BELO_HOUSE_COPD_40OVER_50BELO_HOUSE_COPD_50ABOVE_HOUSE_CONON_SMGU_HOUSE_COSIGNGU_NMADSTRD_NMTOT_HOUSE_COMLPXHOU_COSLH_HOSAPT_CO
140201511010600000000012000500011110580000000000000서울00060종로구교남동9050
14120151101060000000000000000011110580000000000000서울00000종로구교남동0000
14220151101060000000000000000011110580000000000000서울00000종로구교남동1000
14320151101060000000000000000011110580000000000000서울00000종로구교남동0000
144201511010600000009023114596131360111106000001000000030127서울9011200종로구가회동200148400
145201511010600000001458016342651271111060000810000000030서울7010620종로구가회동1190980
1462015110106000000023560102035713011110600005150000001920서울1405500종로구가회동1100780
1472015110106000000000010467021131591111060000610000006046서울210121060종로구가회동200491500
148201511010600000001700133170127551111060000750000004041서울9012450종로구가회동15562750
14920151101060000000000134214850001111060000000000055192서울00050종로구가회동211200100

Duplicate rows

Most frequently occurring

STDYYCSOPAR_CODERWHS_COBSN_PRPOS_ISE_HOUSE_COHOUSE_ELSE_DWLLG_COAR_20BELOWAR_20ABOVE_40BELOW_HOUSE_COAR_40ABOVE_60BELOW_HOUSE_COAR_60ABOVE_85BELOW_HOUSE_COAR_85ABOVE_100BELOW_HOUSE_COAR_100ABOVE_130BELOW_HOUSE_COAR_130ABOVE_165BELOW_HOUSE_COADSTRD_CODEAR_165ABOVE_230BELOW_HOUSE_COAR_230OVERPD_1BELO_HOUSE_COPD_1OVER_2BELO_HOUSE_COPD_2OVER_3BELO_HOUSE_COPD_3OVER_4BELO_HOUSE_COPD_4OVER_5BELO_HOUSE_COPD_5OVER_10BELO_HOUSE_COPD_10OVER_15BELO_HOUSE_COPD_15OVER_20BELO_HOUSE_COATPT_NMPD_20OVER_30BELO_HOUSE_COPD_30OVER_40BELO_HOUSE_COPD_40OVER_50BELO_HOUSE_COPD_50ABOVE_HOUSE_CONON_SMGU_HOUSE_COSIGNGU_NMADSTRD_NMTOT_HOUSE_COMLPXHOU_COSLH_HOSAPT_CO# duplicates
020151101060000000000000000011110580000000000000서울00000종로구교남동00009