Overview

Dataset statistics

Number of variables29
Number of observations50
Missing cells7
Missing cells (%)0.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.7 KiB
Average record size in memory260.6 B

Variable types

Numeric23
Categorical6

Dataset

DescriptionSample
Author아파트엔
URLhttps://bigdata-geo.kr/user/dataset/view.do?data_sn=43

Alerts

strd_year has constant value ""Constant
cbxuar_stdv has 7 (14.0%) missing valuesMissing
uid has unique valuesUnique
xuar has unique valuesUnique
cbxuar_stdv has 3 (6.0%) zerosZeros
signgu_potvale_cume_dist has 4 (8.0%) zerosZeros
ctpr_potvale_cume_dist has 8 (16.0%) zerosZeros
ntwd_potvale_cume_dist has 3 (6.0%) zerosZeros

Reproduction

Analysis started2023-12-10 13:26:47.826285
Analysis finished2023-12-10 13:26:48.367997
Duration0.54 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

uid
Real number (ℝ)

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35679.5
Minimum35655
Maximum35704
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:26:48.550820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35655
5-th percentile35657.45
Q135667.25
median35679.5
Q335691.75
95-th percentile35701.55
Maximum35704
Range49
Interquartile range (IQR)24.5

Descriptive statistics

Standard deviation14.57738
Coefficient of variation (CV)0.00040856457
Kurtosis-1.2
Mean35679.5
Median Absolute Deviation (MAD)12.5
Skewness0
Sum1783975
Variance212.5
MonotonicityStrictly increasing
2023-12-10T22:26:49.119015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35655 1
 
2.0%
35693 1
 
2.0%
35683 1
 
2.0%
35684 1
 
2.0%
35685 1
 
2.0%
35686 1
 
2.0%
35687 1
 
2.0%
35688 1
 
2.0%
35689 1
 
2.0%
35690 1
 
2.0%
Other values (40) 40
80.0%
ValueCountFrequency (%)
35655 1
2.0%
35656 1
2.0%
35657 1
2.0%
35658 1
2.0%
35659 1
2.0%
35660 1
2.0%
35661 1
2.0%
35662 1
2.0%
35663 1
2.0%
35664 1
2.0%
ValueCountFrequency (%)
35704 1
2.0%
35703 1
2.0%
35702 1
2.0%
35701 1
2.0%
35700 1
2.0%
35699 1
2.0%
35698 1
2.0%
35697 1
2.0%
35696 1
2.0%
35695 1
2.0%

apt_cd
Categorical

Distinct9
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
APT1168010800100168000001
11 
APT1168021020010240000001
8 
APT1168010500100002000001
7 
APT1168010500100646000001
6 
APT1168011300100056000001
6 
Other values (4)
12 

Length

Max length25
Median length25
Mean length25
Min length25

Unique

Unique2 ?
Unique (%)4.0%

Sample

1st rowAPT1168010500100002000001
2nd rowAPT1168010500100002000001
3rd rowAPT1168010500100002000001
4th rowAPT1168010500100002000001
5th rowAPT1168010500100002000001

Common Values

ValueCountFrequency (%)
APT1168010800100168000001 11
22.0%
APT1168021020010240000001 8
16.0%
APT1168010500100002000001 7
14.0%
APT1168010500100646000001 6
12.0%
APT1168011300100056000001 6
12.0%
APT1168020000032615000001 5
10.0%
APT1168020000032803000001 5
10.0%
APT1168020000032740000001 1
 
2.0%
APT1168020000060379000001 1
 
2.0%

Length

2023-12-10T22:26:49.342315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:26:49.597780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
apt1168010800100168000001 11
22.0%
apt1168021020010240000001 8
16.0%
apt1168010500100002000001 7
14.0%
apt1168010500100646000001 6
12.0%
apt1168011300100056000001 6
12.0%
apt1168020000032615000001 5
10.0%
apt1168020000032803000001 5
10.0%
apt1168020000032740000001 1
 
2.0%
apt1168020000060379000001 1
 
2.0%

apt_nm
Categorical

Distinct9
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
N168
11 
SK허브프리모
8 
브르넨삼성
7 
위레벤646
6 
세곡2지구 도시형생활주택(유현리엔아파트)
6 
Other values (4)
12 

Length

Max length22
Median length7
Mean length7.48
Min length4

Unique

Unique2 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
N168 11
22.0%
SK허브프리모 8
16.0%
브르넨삼성 7
14.0%
위레벤646 6
12.0%
세곡2지구 도시형생활주택(유현리엔아파트) 6
12.0%
도곡스타클래스 5
10.0%
삼성래미안 5
10.0%
럭키(462) 1
 
2.0%
포이벨리 1
 
2.0%

Length

2023-12-10T22:26:49.849514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:26:50.111390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n168 11
19.6%
sk허브프리모 8
14.3%
브르넨삼성 7
12.5%
위레벤646 6
10.7%
세곡2지구 6
10.7%
도시형생활주택(유현리엔아파트 6
10.7%
도곡스타클래스 5
8.9%
삼성래미안 5
8.9%
럭키(462 1
 
1.8%
포이벨리 1
 
1.8%

rdnmadr
Categorical

Distinct9
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
서울특별시 강남구 학동로 168
11 
서울특별시 강남구 강남대로 240
8 
서울특별시 강남구 영동대로122길 2
7 
서울특별시 강남구 영동대로 646
6 
서울특별시 강남구 밤고개로21길 56
6 
Other values (4)
12 

Length

Max length20
Median length18
Mean length18.74
Min length17

Unique

Unique2 ?
Unique (%)4.0%

Sample

1st row서울특별시 강남구 영동대로122길 2
2nd row서울특별시 강남구 영동대로122길 2
3rd row서울특별시 강남구 영동대로122길 2
4th row서울특별시 강남구 영동대로122길 2
5th row서울특별시 강남구 영동대로122길 2

Common Values

ValueCountFrequency (%)
서울특별시 강남구 학동로 168 11
22.0%
서울특별시 강남구 강남대로 240 8
16.0%
서울특별시 강남구 영동대로122길 2 7
14.0%
서울특별시 강남구 영동대로 646 6
12.0%
서울특별시 강남구 밤고개로21길 56 6
12.0%
서울특별시 강남구 남부순환로 2615 5
10.0%
서울특별시 강남구 남부순환로 2803 5
10.0%
서울특별시 강남구 남부순환로 2740 1
 
2.0%
서울특별시 강남구 양재대로 379 1
 
2.0%

Length

2023-12-10T22:26:50.514269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:26:50.732743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 50
25.0%
강남구 50
25.0%
학동로 11
 
5.5%
168 11
 
5.5%
남부순환로 11
 
5.5%
강남대로 8
 
4.0%
240 8
 
4.0%
영동대로122길 7
 
3.5%
2 7
 
3.5%
56 6
 
3.0%
Other values (8) 31
15.5%

legaldong_cd
Categorical

Distinct5
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
1168011800
19 
1168010500
13 
1168010800
11 
1168011300
6 
1168010300
 
1

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique1 ?
Unique (%)2.0%

Sample

1st row1168010500
2nd row1168010500
3rd row1168010500
4th row1168010500
5th row1168010500

Common Values

ValueCountFrequency (%)
1168011800 19
38.0%
1168010500 13
26.0%
1168010800 11
22.0%
1168011300 6
 
12.0%
1168010300 1
 
2.0%

Length

2023-12-10T22:26:51.071998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:26:51.350079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1168011800 19
38.0%
1168010500 13
26.0%
1168010800 11
22.0%
1168011300 6
 
12.0%
1168010300 1
 
2.0%

strd_year
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2022
50 

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 50
100.0%

Length

2023-12-10T22:26:51.590181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:26:51.839207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 50
100.0%

xuar
Real number (ℝ)

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.2206
Minimum15.33
Maximum203.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:26:52.086521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15.33
5-th percentile17.3455
Q127.075
median41.245
Q383.49
95-th percentile121.8695
Maximum203.22
Range187.89
Interquartile range (IQR)56.415

Descriptive statistics

Standard deviation41.887028
Coefficient of variation (CV)0.71945374
Kurtosis2.2553719
Mean58.2206
Median Absolute Deviation (MAD)22.875
Skewness1.4185974
Sum2911.03
Variance1754.5231
MonotonicityNot monotonic
2023-12-10T22:26:52.426191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
39.86 1
 
2.0%
84.76 1
 
2.0%
29.45 1
 
2.0%
25.98 1
 
2.0%
112.05 1
 
2.0%
112.75 1
 
2.0%
111.38 1
 
2.0%
174.8 1
 
2.0%
203.22 1
 
2.0%
79.89 1
 
2.0%
Other values (40) 40
80.0%
ValueCountFrequency (%)
15.33 1
2.0%
16.07 1
2.0%
16.81 1
2.0%
18.0 1
2.0%
18.06 1
2.0%
18.12 1
2.0%
18.9 1
2.0%
20.04 1
2.0%
21.05 1
2.0%
21.4 1
2.0%
ValueCountFrequency (%)
203.22 1
2.0%
174.8 1
2.0%
122.81 1
2.0%
120.72 1
2.0%
112.75 1
2.0%
112.05 1
2.0%
111.38 1
2.0%
100.54 1
2.0%
96.26 1
2.0%
89.88 1
2.0%

ar_cd
Categorical

Distinct5
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
1
24 
3
11 
4
8 
2
5 
5
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row2
4th row2
5th row3

Common Values

ValueCountFrequency (%)
1 24
48.0%
3 11
22.0%
4 8
 
16.0%
2 5
 
10.0%
5 2
 
4.0%

Length

2023-12-10T22:26:52.658184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:26:52.834812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 24
48.0%
3 11
22.0%
4 8
 
16.0%
2 5
 
10.0%
5 2
 
4.0%

cbxuar_hshld_cost
Real number (ℝ)

Distinct19
Distinct (%)38.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.48
Minimum1
Maximum186
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:26:53.013524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median9
Q327.5
95-th percentile81.6
Maximum186
Range185
Interquartile range (IQR)23.5

Descriptive statistics

Standard deviation33.704139
Coefficient of variation (CV)1.4992944
Kurtosis10.891468
Mean22.48
Median Absolute Deviation (MAD)7
Skewness2.9289741
Sum1124
Variance1135.969
MonotonicityNot monotonic
2023-12-10T22:26:53.281941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1 7
14.0%
4 4
 
8.0%
6 4
 
8.0%
12 4
 
8.0%
64 3
 
6.0%
48 3
 
6.0%
5 3
 
6.0%
2 3
 
6.0%
20 3
 
6.0%
8 2
 
4.0%
Other values (9) 14
28.0%
ValueCountFrequency (%)
1 7
14.0%
2 3
6.0%
3 2
 
4.0%
4 4
8.0%
5 3
6.0%
6 4
8.0%
8 2
 
4.0%
10 1
 
2.0%
12 4
8.0%
13 2
 
4.0%
ValueCountFrequency (%)
186 1
 
2.0%
96 2
4.0%
64 3
6.0%
52 1
 
2.0%
48 3
6.0%
32 1
 
2.0%
30 2
4.0%
20 3
6.0%
16 2
4.0%
13 2
4.0%

cbarcd_minm_potvale
Real number (ℝ)

Distinct19
Distinct (%)38.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.7634 × 108
Minimum1.56 × 108
Maximum3.212 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:26:53.528910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.56 × 108
5-th percentile1.56 × 108
Q13.12 × 108
median5.17 × 108
Q31.30975 × 109
95-th percentile2.35825 × 109
Maximum3.212 × 109
Range3.056 × 109
Interquartile range (IQR)9.9775 × 108

Descriptive statistics

Standard deviation7.8363831 × 108
Coefficient of variation (CV)0.89421721
Kurtosis1.7590774
Mean8.7634 × 108
Median Absolute Deviation (MAD)3.61 × 108
Skewness1.399727
Sum4.3817 × 1010
Variance6.14089 × 1017
MonotonicityNot monotonic
2023-12-10T22:26:53.727675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
156000000 11
22.0%
517000000 6
12.0%
312000000 6
12.0%
785000000 4
 
8.0%
1110000000 3
 
6.0%
860000000 2
 
4.0%
1844000000 2
 
4.0%
1679000000 2
 
4.0%
1311000000 2
 
4.0%
1676000000 2
 
4.0%
Other values (9) 10
20.0%
ValueCountFrequency (%)
156000000 11
22.0%
260000000 1
 
2.0%
312000000 6
12.0%
397000000 1
 
2.0%
502000000 1
 
2.0%
517000000 6
12.0%
785000000 4
 
8.0%
860000000 2
 
4.0%
1009000000 1
 
2.0%
1110000000 3
 
6.0%
ValueCountFrequency (%)
3212000000 2
4.0%
2779000000 1
 
2.0%
1844000000 2
4.0%
1835000000 1
 
2.0%
1679000000 2
4.0%
1676000000 2
4.0%
1405000000 1
 
2.0%
1311000000 2
4.0%
1306000000 1
 
2.0%
1110000000 3
6.0%

cbarcd_max_potvale
Real number (ℝ)

Distinct19
Distinct (%)38.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.05422 × 109
Minimum2.77 × 108
Maximum3.278 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:26:54.040995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.77 × 108
5-th percentile2.88 × 108
Q13.88 × 108
median6.86 × 108
Q31.51 × 109
95-th percentile2.63815 × 109
Maximum3.278 × 109
Range3.001 × 109
Interquartile range (IQR)1.122 × 109

Descriptive statistics

Standard deviation8.3202419 × 108
Coefficient of variation (CV)0.78923203
Kurtosis0.45622902
Mean1.05422 × 109
Median Absolute Deviation (MAD)3.98 × 108
Skewness1.1002195
Sum5.2711 × 1010
Variance6.9226426 × 1017
MonotonicityNot monotonic
2023-12-10T22:26:54.365812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
288000000 11
22.0%
686000000 6
12.0%
388000000 6
12.0%
983000000 4
 
8.0%
1264000000 3
 
6.0%
1260000000 2
 
4.0%
2466000000 2
 
4.0%
1939000000 2
 
4.0%
1683000000 2
 
4.0%
2022000000 2
 
4.0%
Other values (9) 10
20.0%
ValueCountFrequency (%)
277000000 1
 
2.0%
288000000 11
22.0%
388000000 6
12.0%
424000000 1
 
2.0%
534000000 1
 
2.0%
686000000 6
12.0%
983000000 4
 
8.0%
1035000000 1
 
2.0%
1260000000 2
 
4.0%
1264000000 3
 
6.0%
ValueCountFrequency (%)
3278000000 2
4.0%
2779000000 1
 
2.0%
2466000000 2
4.0%
2066000000 1
 
2.0%
2022000000 2
4.0%
1939000000 2
4.0%
1683000000 2
4.0%
1538000000 1
 
2.0%
1426000000 1
 
2.0%
1264000000 3
6.0%

cbarcd_ave_potvale
Real number (ℝ)

Distinct19
Distinct (%)38.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.6929638 × 108
Minimum2.0280303 × 108
Maximum3.245 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:26:54.573816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0280303 × 108
5-th percentile2.0280303 × 108
Q13.4997701 × 108
median6.2599082 × 108
Q31.4646562 × 109
95-th percentile2.5549 × 109
Maximum3.245 × 109
Range3.042197 × 109
Interquartile range (IQR)1.1146792 × 109

Descriptive statistics

Standard deviation8.1944523 × 108
Coefficient of variation (CV)0.84540213
Kurtosis0.85106337
Mean9.6929638 × 108
Median Absolute Deviation (MAD)4.231878 × 108
Skewness1.198403
Sum4.8464819 × 1010
Variance6.7149048 × 1017
MonotonicityNot monotonic
2023-12-10T22:26:54.757634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
202803030 11
22.0%
625990825 6
12.0%
349977011 6
12.0%
830333333 4
 
8.0%
1219608695 3
 
6.0%
1060000000 2
 
4.0%
2281000000 2
 
4.0%
1853805555 2
 
4.0%
1491250000 2
 
4.0%
1849000000 2
 
4.0%
Other values (9) 10
20.0%
ValueCountFrequency (%)
202803030 11
22.0%
272250000 1
 
2.0%
349977011 6
12.0%
409333333 1
 
2.0%
521200000 1
 
2.0%
625990825 6
12.0%
830333333 4
 
8.0%
1022000000 1
 
2.0%
1060000000 2
 
4.0%
1219608695 3
 
6.0%
ValueCountFrequency (%)
3245000000 2
4.0%
2779000000 1
 
2.0%
2281000000 2
4.0%
1950833333 1
 
2.0%
1853805555 2
4.0%
1849000000 2
4.0%
1498416666 1
 
2.0%
1491250000 2
4.0%
1384875000 1
 
2.0%
1219608695 3
6.0%

cbarcd_median_potvale
Real number (ℝ)

Distinct19
Distinct (%)38.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.7314 × 108
Minimum1.98 × 108
Maximum3.245 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:26:54.961344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.98 × 108
5-th percentile1.98 × 108
Q13.55 × 108
median6.23 × 108
Q31.46325 × 109
95-th percentile2.5828 × 109
Maximum3.245 × 109
Range3.047 × 109
Interquartile range (IQR)1.10825 × 109

Descriptive statistics

Standard deviation8.2429144 × 108
Coefficient of variation (CV)0.84704302
Kurtosis0.79612104
Mean9.7314 × 108
Median Absolute Deviation (MAD)4.25 × 108
Skewness1.1867292
Sum4.8657 × 1010
Variance6.7945638 × 1017
MonotonicityNot monotonic
2023-12-10T22:26:55.193946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
198000000 11
22.0%
623000000 6
12.0%
355000000 6
12.0%
842000000 4
 
8.0%
1233000000 3
 
6.0%
1060000000 2
 
4.0%
2343000000 2
 
4.0%
1853000000 2
 
4.0%
1485000000 2
 
4.0%
1849000000 2
 
4.0%
Other values (9) 10
20.0%
ValueCountFrequency (%)
198000000 11
22.0%
275500000 1
 
2.0%
355000000 6
12.0%
407000000 1
 
2.0%
534000000 1
 
2.0%
623000000 6
12.0%
842000000 4
 
8.0%
1022000000 1
 
2.0%
1060000000 2
 
4.0%
1233000000 3
 
6.0%
ValueCountFrequency (%)
3245000000 2
4.0%
2779000000 1
 
2.0%
2343000000 2
4.0%
1952500000 1
 
2.0%
1853000000 2
4.0%
1849000000 2
4.0%
1506000000 1
 
2.0%
1485000000 2
4.0%
1398000000 1
 
2.0%
1233000000 3
6.0%

cbxuar_minm_potvale
Real number (ℝ)

Distinct46
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.3494 × 108
Minimum1.56 × 108
Maximum3.278 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:26:55.528806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.56 × 108
5-th percentile1.838 × 108
Q13.12 × 108
median6.125 × 108
Q31.30975 × 109
95-th percentile2.4982 × 109
Maximum3.278 × 109
Range3.122 × 109
Interquartile range (IQR)9.9775 × 108

Descriptive statistics

Standard deviation7.9573063 × 108
Coefficient of variation (CV)0.85110342
Kurtosis1.3656402
Mean9.3494 × 108
Median Absolute Deviation (MAD)4.1 × 108
Skewness1.3024852
Sum4.6747 × 1010
Variance6.3318724 × 1017
MonotonicityNot monotonic
2023-12-10T22:26:55.839868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
186000000 3
 
6.0%
312000000 2
 
4.0%
338000000 2
 
4.0%
1679000000 1
 
2.0%
1159000000 1
 
2.0%
1167000000 1
 
2.0%
1110000000 1
 
2.0%
1676000000 1
 
2.0%
2022000000 1
 
2.0%
1306000000 1
 
2.0%
Other values (36) 36
72.0%
ValueCountFrequency (%)
156000000 1
 
2.0%
175000000 1
 
2.0%
182000000 1
 
2.0%
186000000 3
6.0%
189000000 1
 
2.0%
216000000 1
 
2.0%
232000000 1
 
2.0%
236000000 1
 
2.0%
260000000 1
 
2.0%
276000000 1
 
2.0%
ValueCountFrequency (%)
3278000000 1
2.0%
3212000000 1
2.0%
2779000000 1
2.0%
2155000000 1
2.0%
2022000000 1
2.0%
1844000000 1
2.0%
1835000000 1
2.0%
1758000000 1
2.0%
1679000000 1
2.0%
1676000000 1
2.0%

cbxuar_max_potvale
Real number (ℝ)

Distinct44
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.9058 × 108
Minimum1.69 × 108
Maximum3.278 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:26:56.061467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.69 × 108
5-th percentile1.958 × 108
Q13.33 × 108
median6.82 × 108
Q31.4635 × 109
95-th percentile2.63815 × 109
Maximum3.278 × 109
Range3.109 × 109
Interquartile range (IQR)1.1305 × 109

Descriptive statistics

Standard deviation8.2337204 × 108
Coefficient of variation (CV)0.83120196
Kurtosis0.70642911
Mean9.9058 × 108
Median Absolute Deviation (MAD)4.605 × 108
Skewness1.1490841
Sum4.9529 × 1010
Variance6.7794151 × 1017
MonotonicityNot monotonic
2023-12-10T22:26:56.304631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
198000000 3
 
6.0%
388000000 2
 
4.0%
678000000 2
 
4.0%
360000000 2
 
4.0%
333000000 2
 
4.0%
686000000 1
 
2.0%
558000000 1
 
2.0%
1255000000 1
 
2.0%
1264000000 1
 
2.0%
1246000000 1
 
2.0%
Other values (34) 34
68.0%
ValueCountFrequency (%)
169000000 1
 
2.0%
179000000 1
 
2.0%
194000000 1
 
2.0%
198000000 3
6.0%
212000000 1
 
2.0%
231000000 1
 
2.0%
236000000 1
 
2.0%
243000000 1
 
2.0%
277000000 1
 
2.0%
288000000 1
 
2.0%
ValueCountFrequency (%)
3278000000 1
2.0%
3212000000 1
2.0%
2779000000 1
2.0%
2466000000 1
2.0%
2066000000 1
2.0%
2022000000 1
2.0%
2007000000 1
2.0%
1939000000 1
2.0%
1825000000 1
2.0%
1683000000 1
2.0%

cbxuar_ave_potvale
Real number (ℝ)

Distinct47
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.6950203 × 108
Minimum1.63 × 108
Maximum3.278 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:26:56.551596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.63 × 108
5-th percentile1.895125 × 108
Q13.232 × 108
median6.6021795 × 108
Q31.3913438 × 109
95-th percentile2.5911419 × 109
Maximum3.278 × 109
Range3.115 × 109
Interquartile range (IQR)1.0681438 × 109

Descriptive statistics

Standard deviation8.1378088 × 108
Coefficient of variation (CV)0.83938028
Kurtosis0.91807581
Mean9.6950203 × 108
Median Absolute Deviation (MAD)4.4846795 × 108
Skewness1.1982568
Sum4.8475101 × 1010
Variance6.6223933 × 1017
MonotonicityNot monotonic
2023-12-10T22:26:56.758468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
191666666 3
 
6.0%
323200000 2
 
4.0%
1260000000 1
 
2.0%
1223800000 1
 
2.0%
1232400000 1
 
2.0%
1203687500 1
 
2.0%
1676000000 1
 
2.0%
2022000000 1
 
2.0%
1384875000 1
 
2.0%
1498416666 1
 
2.0%
Other values (37) 37
74.0%
ValueCountFrequency (%)
163000000 1
 
2.0%
177000000 1
 
2.0%
187750000 1
 
2.0%
191666666 3
6.0%
200000000 1
 
2.0%
223500000 1
 
2.0%
236000000 1
 
2.0%
237500000 1
 
2.0%
272250000 1
 
2.0%
282000000 1
 
2.0%
ValueCountFrequency (%)
3278000000 1
2.0%
3212000000 1
2.0%
2779000000 1
2.0%
2361537634 1
2.0%
2022000000 1
2.0%
1968916666 1
2.0%
1950833333 1
2.0%
1885166666 1
2.0%
1791083333 1
2.0%
1676000000 1
2.0%

cbxuar_median_potvale
Real number (ℝ)

Distinct45
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.748 × 108
Minimum1.625 × 108
Maximum3.278 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:26:56.970272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.625 × 108
5-th percentile1.89075 × 108
Q13.27 × 108
median6.82 × 108
Q31.39725 × 109
95-th percentile2.5828 × 109
Maximum3.278 × 109
Range3.1155 × 109
Interquartile range (IQR)1.07025 × 109

Descriptive statistics

Standard deviation8.1409865 × 108
Coefficient of variation (CV)0.83514429
Kurtosis0.87767927
Mean9.748 × 108
Median Absolute Deviation (MAD)4.7 × 108
Skewness1.1822053
Sum4.874 × 1010
Variance6.6275661 × 1017
MonotonicityNot monotonic
2023-12-10T22:26:57.311652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
355000000 3
 
6.0%
191000000 3
 
6.0%
327000000 2
 
4.0%
1260000000 1
 
2.0%
1251000000 1
 
2.0%
1231000000 1
 
2.0%
1676000000 1
 
2.0%
2022000000 1
 
2.0%
1398000000 1
 
2.0%
1506000000 1
 
2.0%
Other values (35) 35
70.0%
ValueCountFrequency (%)
162500000 1
 
2.0%
177000000 1
 
2.0%
187500000 1
 
2.0%
191000000 3
6.0%
200500000 1
 
2.0%
223500000 1
 
2.0%
236000000 1
 
2.0%
237500000 1
 
2.0%
275500000 1
 
2.0%
282000000 1
 
2.0%
ValueCountFrequency (%)
3278000000 1
2.0%
3212000000 1
2.0%
2779000000 1
2.0%
2343000000 1
2.0%
2022000000 1
2.0%
1995000000 1
2.0%
1952500000 1
2.0%
1898000000 1
2.0%
1814000000 1
2.0%
1676000000 1
2.0%

cbxuar_stdv
Real number (ℝ)

MISSING  ZEROS 

Distinct39
Distinct (%)90.7%
Missing7
Missing (%)14.0%
Infinite0
Infinite (%)0.0%
Mean23129881
Minimum0
Maximum92920217
Zeros3
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:26:57.658355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile230940.1
Q16154187.5
median11285762
Q337530010
95-th percentile75023785
Maximum92920217
Range92920217
Interquartile range (IQR)31375822

Descriptive statistics

Standard deviation23729787
Coefficient of variation (CV)1.0259364
Kurtosis1.1947023
Mean23129881
Median Absolute Deviation (MAD)6602967
Skewness1.3426417
Sum9.9458486 × 108
Variance5.631028 × 1014
MonotonicityNot monotonic
2023-12-10T22:26:57.862950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0 3
 
6.0%
8497058 2
 
4.0%
5140452 2
 
4.0%
16524729 1
 
2.0%
41884005 1
 
2.0%
33781860 1
 
2.0%
46555607 1
 
2.0%
43162155 1
 
2.0%
82125423 1
 
2.0%
48449945 1
 
2.0%
Other values (29) 29
58.0%
(Missing) 7
 
14.0%
ValueCountFrequency (%)
0 3
6.0%
2309401 1
 
2.0%
4390071 1
 
2.0%
4682795 1
 
2.0%
5140452 2
4.0%
5391351 1
 
2.0%
5585696 1
 
2.0%
5957522 1
 
2.0%
6350853 1
 
2.0%
6414270 1
 
2.0%
ValueCountFrequency (%)
92920217 1
2.0%
82125423 1
2.0%
75984209 1
2.0%
66379967 1
2.0%
48449945 1
2.0%
47518036 1
2.0%
46555607 1
2.0%
43162155 1
2.0%
41884005 1
2.0%
38596181 1
2.0%

signgu_potvale_rnk
Real number (ℝ)

Distinct19
Distinct (%)38.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean263.16
Minimum1
Maximum762
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:26:58.087898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q179
median198.5
Q3354
95-th percentile636
Maximum762
Range761
Interquartile range (IQR)275

Descriptive statistics

Standard deviation227.2241
Coefficient of variation (CV)0.86344466
Kurtosis-0.8939391
Mean263.16
Median Absolute Deviation (MAD)140.5
Skewness0.58080565
Sum13158
Variance51630.79
MonotonicityNot monotonic
2023-12-10T22:26:58.370291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
339 11
22.0%
636 6
12.0%
79 6
12.0%
10 4
 
8.0%
441 3
 
6.0%
1 2
 
4.0%
163 2
 
4.0%
125 2
 
4.0%
51 2
 
4.0%
619 2
 
4.0%
Other values (9) 10
20.0%
ValueCountFrequency (%)
1 2
 
4.0%
2 2
 
4.0%
10 4
8.0%
43 1
 
2.0%
51 2
 
4.0%
59 1
 
2.0%
79 6
12.0%
95 1
 
2.0%
125 2
 
4.0%
139 1
 
2.0%
ValueCountFrequency (%)
762 1
 
2.0%
636 6
12.0%
619 2
 
4.0%
441 3
 
6.0%
359 1
 
2.0%
339 11
22.0%
232 1
 
2.0%
165 1
 
2.0%
163 2
 
4.0%
139 1
 
2.0%

signgu_potvale_prcntl
Real number (ℝ)

Distinct22
Distinct (%)44.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57.98
Minimum15
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:26:58.687289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile15
Q127.5
median65
Q387.75
95-th percentile100
Maximum100
Range85
Interquartile range (IQR)60.25

Descriptive statistics

Standard deviation32.851235
Coefficient of variation (CV)0.56659599
Kurtosis-1.7030419
Mean57.98
Median Absolute Deviation (MAD)33
Skewness-0.13138326
Sum2899
Variance1079.2037
MonotonicityNot monotonic
2023-12-10T22:26:59.052480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
16 6
 
12.0%
15 5
 
10.0%
100 4
 
8.0%
80 4
 
8.0%
30 4
 
8.0%
98 3
 
6.0%
53 3
 
6.0%
29 2
 
4.0%
82 2
 
4.0%
87 2
 
4.0%
Other values (12) 15
30.0%
ValueCountFrequency (%)
15 5
10.0%
16 6
12.0%
17 1
 
2.0%
27 1
 
2.0%
29 2
 
4.0%
30 4
8.0%
40 2
 
4.0%
53 3
6.0%
59 1
 
2.0%
71 1
 
2.0%
ValueCountFrequency (%)
100 4
8.0%
98 3
6.0%
97 1
 
2.0%
94 1
 
2.0%
90 2
4.0%
89 1
 
2.0%
88 1
 
2.0%
87 2
4.0%
82 2
4.0%
81 2
4.0%

signgu_potvale_cume_dist
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)36.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.58
Minimum0
Maximum84
Zeros4
Zeros (%)8.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:26:59.658026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q111.75
median33.5
Q372.25
95-th percentile83
Maximum84
Range84
Interquartile range (IQR)60.5

Descriptive statistics

Standard deviation32.332513
Coefficient of variation (CV)0.77759773
Kurtosis-1.7093961
Mean41.58
Median Absolute Deviation (MAD)30.5
Skewness0.13395897
Sum2079
Variance1045.3914
MonotonicityNot monotonic
2023-12-10T22:27:00.007227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
83 11
22.0%
70 6
12.0%
20 6
12.0%
0 4
 
8.0%
3 4
 
8.0%
46 3
 
6.0%
11 2
 
4.0%
17 2
 
4.0%
14 2
 
4.0%
59 2
 
4.0%
Other values (8) 8
16.0%
ValueCountFrequency (%)
0 4
8.0%
3 4
8.0%
6 1
 
2.0%
9 1
 
2.0%
10 1
 
2.0%
11 2
 
4.0%
14 2
 
4.0%
17 2
 
4.0%
20 6
12.0%
25 1
 
2.0%
ValueCountFrequency (%)
84 1
 
2.0%
83 11
22.0%
73 1
 
2.0%
70 6
12.0%
59 2
 
4.0%
46 3
 
6.0%
39 1
 
2.0%
28 1
 
2.0%
25 1
 
2.0%
20 6
12.0%

ctpr_potvale_rnk
Real number (ℝ)

Distinct19
Distinct (%)38.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1283.24
Minimum1
Maximum6117
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:27:00.381560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile14
Q1165.5
median615.5
Q31559
95-th percentile4199
Maximum6117
Range6116
Interquartile range (IQR)1393.5

Descriptive statistics

Standard deviation1513.1971
Coefficient of variation (CV)1.1792004
Kurtosis1.4052331
Mean1283.24
Median Absolute Deviation (MAD)614.5
Skewness1.446492
Sum64162
Variance2289765.6
MonotonicityNot monotonic
2023-12-10T22:27:00.818495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1559 11
22.0%
4199 6
12.0%
301 6
12.0%
14 4
 
8.0%
1532 3
 
6.0%
1 2
 
4.0%
262 2
 
4.0%
188 2
 
4.0%
91 2
 
4.0%
1383 2
 
4.0%
Other values (9) 10
20.0%
ValueCountFrequency (%)
1 2
 
4.0%
14 4
8.0%
18 2
 
4.0%
83 1
 
2.0%
88 1
 
2.0%
91 2
 
4.0%
158 1
 
2.0%
188 2
 
4.0%
262 2
 
4.0%
301 6
12.0%
ValueCountFrequency (%)
6117 1
 
2.0%
4199 6
12.0%
3469 1
 
2.0%
1559 11
22.0%
1532 3
 
6.0%
1383 2
 
4.0%
704 1
 
2.0%
527 1
 
2.0%
329 1
 
2.0%
301 6
12.0%

ctpr_potvale_prcntl
Real number (ℝ)

Distinct12
Distinct (%)24.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.7
Minimum62
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:27:01.130963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum62
5-th percentile70
Q171
median91
Q399
95-th percentile100
Maximum100
Range38
Interquartile range (IQR)28

Descriptive statistics

Standard deviation13.223742
Coefficient of variation (CV)0.1543027
Kurtosis-1.737971
Mean85.7
Median Absolute Deviation (MAD)9
Skewness-0.19283785
Sum4285
Variance174.86735
MonotonicityNot monotonic
2023-12-10T22:27:01.331601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
100 10
20.0%
70 9
18.0%
95 6
12.0%
77 6
12.0%
99 5
10.0%
71 4
 
8.0%
97 3
 
6.0%
80 3
 
6.0%
98 1
 
2.0%
66 1
 
2.0%
Other values (2) 2
 
4.0%
ValueCountFrequency (%)
62 1
 
2.0%
66 1
 
2.0%
70 9
18.0%
71 4
8.0%
77 6
12.0%
80 3
 
6.0%
87 1
 
2.0%
95 6
12.0%
97 3
 
6.0%
98 1
 
2.0%
ValueCountFrequency (%)
100 10
20.0%
99 5
10.0%
98 1
 
2.0%
97 3
 
6.0%
95 6
12.0%
87 1
 
2.0%
80 3
 
6.0%
77 6
12.0%
71 4
 
8.0%
70 9
18.0%

ctpr_potvale_cume_dist
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.6
Minimum0
Maximum39
Zeros8
Zeros (%)16.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:27:01.569330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median9.5
Q330
95-th percentile30
Maximum39
Range39
Interquartile range (IQR)29

Descriptive statistics

Standard deviation13.192453
Coefficient of variation (CV)0.90359267
Kurtosis-1.6983028
Mean14.6
Median Absolute Deviation (MAD)9.5
Skewness0.195702
Sum730
Variance174.04082
MonotonicityNot monotonic
2023-12-10T22:27:01.757881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
30 13
26.0%
0 8
16.0%
1 7
14.0%
6 6
12.0%
23 6
12.0%
20 3
 
6.0%
3 3
 
6.0%
4 1
 
2.0%
34 1
 
2.0%
13 1
 
2.0%
ValueCountFrequency (%)
0 8
16.0%
1 7
14.0%
3 3
 
6.0%
4 1
 
2.0%
6 6
12.0%
13 1
 
2.0%
20 3
 
6.0%
23 6
12.0%
30 13
26.0%
34 1
 
2.0%
ValueCountFrequency (%)
39 1
 
2.0%
34 1
 
2.0%
30 13
26.0%
23 6
12.0%
20 3
 
6.0%
13 1
 
2.0%
6 6
12.0%
4 1
 
2.0%
3 3
 
6.0%
1 7
14.0%

ntwd_potvale_rnk
Real number (ℝ)

Distinct19
Distinct (%)38.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30096.62
Minimum381
Maximum77579
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:27:02.007216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum381
5-th percentile815.5
Q14063.5
median19965
Q346637
95-th percentile77579
Maximum77579
Range77198
Interquartile range (IQR)42573.5

Descriptive statistics

Standard deviation29721.783
Coefficient of variation (CV)0.98754556
Kurtosis-1.1859854
Mean30096.62
Median Absolute Deviation (MAD)17993
Skewness0.67098672
Sum1504831
Variance8.8338441 × 108
MonotonicityNot monotonic
2023-12-10T22:27:02.219896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
77579 11
22.0%
19965 6
12.0%
46637 6
12.0%
12906 4
 
8.0%
6349 3
 
6.0%
8269 2
 
4.0%
1129 2
 
4.0%
2146 2
 
4.0%
3844 2
 
4.0%
2150 2
 
4.0%
Other values (9) 10
20.0%
ValueCountFrequency (%)
381 2
4.0%
559 1
 
2.0%
1129 2
4.0%
1798 1
 
2.0%
2146 2
4.0%
2150 2
4.0%
3799 1
 
2.0%
3844 2
4.0%
4722 1
 
2.0%
6349 3
6.0%
ValueCountFrequency (%)
77579 11
22.0%
60454 1
 
2.0%
46637 6
12.0%
38285 1
 
2.0%
26733 1
 
2.0%
19965 6
12.0%
12906 4
 
8.0%
8991 1
 
2.0%
8269 2
 
4.0%
6349 3
 
6.0%

ntwd_potvale_prcntl
Real number (ℝ)

Distinct13
Distinct (%)26.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.62
Minimum54
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:27:02.447719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum54
5-th percentile54
Q173
median89
Q398
95-th percentile100
Maximum100
Range46
Interquartile range (IQR)25

Descriptive statistics

Standard deviation17.790034
Coefficient of variation (CV)0.21532358
Kurtosis-1.1567818
Mean82.62
Median Absolute Deviation (MAD)10
Skewness-0.69606335
Sum4131
Variance316.48531
MonotonicityNot monotonic
2023-12-10T22:27:02.799376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
54 11
22.0%
73 6
12.0%
89 6
12.0%
99 5
10.0%
100 5
10.0%
98 4
 
8.0%
93 4
 
8.0%
97 3
 
6.0%
96 2
 
4.0%
95 1
 
2.0%
Other values (3) 3
 
6.0%
ValueCountFrequency (%)
54 11
22.0%
65 1
 
2.0%
73 6
12.0%
78 1
 
2.0%
85 1
 
2.0%
89 6
12.0%
93 4
 
8.0%
95 1
 
2.0%
96 2
 
4.0%
97 3
 
6.0%
ValueCountFrequency (%)
100 5
10.0%
99 5
10.0%
98 4
8.0%
97 3
6.0%
96 2
 
4.0%
95 1
 
2.0%
93 4
8.0%
89 6
12.0%
85 1
 
2.0%
78 1
 
2.0%

ntwd_potvale_cume_dist
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)26.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.92
Minimum0
Maximum46
Zeros3
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:27:02.999020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.45
Q12.25
median12
Q328
95-th percentile46
Maximum46
Range46
Interquartile range (IQR)25.75

Descriptive statistics

Standard deviation17.656403
Coefficient of variation (CV)0.98529035
Kurtosis-1.2047502
Mean17.92
Median Absolute Deviation (MAD)11
Skewness0.6543137
Sum896
Variance311.74857
MonotonicityNot monotonic
2023-12-10T22:27:03.172723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
46 11
22.0%
1 7
14.0%
28 6
12.0%
12 6
12.0%
8 4
 
8.0%
5 3
 
6.0%
2 3
 
6.0%
0 3
 
6.0%
4 3
 
6.0%
3 1
 
2.0%
Other values (3) 3
 
6.0%
ValueCountFrequency (%)
0 3
6.0%
1 7
14.0%
2 3
6.0%
3 1
 
2.0%
4 3
6.0%
5 3
6.0%
8 4
8.0%
12 6
12.0%
16 1
 
2.0%
23 1
 
2.0%
ValueCountFrequency (%)
46 11
22.0%
36 1
 
2.0%
28 6
12.0%
23 1
 
2.0%
16 1
 
2.0%
12 6
12.0%
8 4
 
8.0%
5 3
 
6.0%
4 3
 
6.0%
3 1
 
2.0%

lo
Real number (ℝ)

Distinct9
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.05144
Minimum127.02941
Maximum127.11274
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:27:03.386232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.02941
5-th percentile127.02941
Q1127.03439
median127.04846
Q3127.05902
95-th percentile127.11274
Maximum127.11274
Range0.083330978
Interquartile range (IQR)0.024635684

Descriptive statistics

Standard deviation0.025617817
Coefficient of variation (CV)0.00020163342
Kurtosis1.5373776
Mean127.05144
Median Absolute Deviation (MAD)0.013327478
Skewness1.5310877
Sum6352.5721
Variance0.00065627253
MonotonicityNot monotonic
2023-12-10T22:27:03.617611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
127.029408985511 11
22.0%
127.034385507106 8
16.0%
127.059418422668 7
14.0%
127.057829498346 6
12.0%
127.112739963673 6
12.0%
127.035878982388 5
10.0%
127.050648680555 5
10.0%
127.046270765523 1
 
2.0%
127.055215469309 1
 
2.0%
ValueCountFrequency (%)
127.029408985511 11
22.0%
127.034385507106 8
16.0%
127.035878982388 5
10.0%
127.046270765523 1
 
2.0%
127.050648680555 5
10.0%
127.055215469309 1
 
2.0%
127.057829498346 6
12.0%
127.059418422668 7
14.0%
127.112739963673 6
12.0%
ValueCountFrequency (%)
127.112739963673 6
12.0%
127.059418422668 7
14.0%
127.057829498346 6
12.0%
127.055215469309 1
 
2.0%
127.050648680555 5
10.0%
127.046270765523 1
 
2.0%
127.035878982388 5
10.0%
127.034385507106 8
16.0%
127.029408985511 11
22.0%

la
Real number (ℝ)

Distinct9
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.49873
Minimum37.473165
Maximum37.519663
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:27:03.842185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.473165
5-th percentile37.473165
Q137.485276
median37.489786
Q337.515852
95-th percentile37.519663
Maximum37.519663
Range0.046498307
Interquartile range (IQR)0.030575724

Descriptive statistics

Standard deviation0.017265711
Coefficient of variation (CV)0.00046043456
Kurtosis-1.6997542
Mean37.49873
Median Absolute Deviation (MAD)0.016621328
Skewness-0.094484083
Sum1874.9365
Variance0.00029810478
MonotonicityNot monotonic
2023-12-10T22:27:04.024332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
37.51311643403751 11
22.0%
37.48527638223089 8
16.0%
37.5167639969676 7
14.0%
37.5196629002269 6
12.0%
37.4731645931654 6
12.0%
37.4852013763256 5
10.0%
37.489785920785 5
10.0%
37.4861490904192 1
 
2.0%
37.4746082742704 1
 
2.0%
ValueCountFrequency (%)
37.4731645931654 6
12.0%
37.4746082742704 1
 
2.0%
37.4852013763256 5
10.0%
37.48527638223089 8
16.0%
37.4861490904192 1
 
2.0%
37.489785920785 5
10.0%
37.51311643403751 11
22.0%
37.5167639969676 7
14.0%
37.5196629002269 6
12.0%
ValueCountFrequency (%)
37.5196629002269 6
12.0%
37.5167639969676 7
14.0%
37.51311643403751 11
22.0%
37.489785920785 5
10.0%
37.4861490904192 1
 
2.0%
37.48527638223089 8
16.0%
37.4852013763256 5
10.0%
37.4746082742704 1
 
2.0%
37.4731645931654 6
12.0%

Sample

uidapt_cdapt_nmrdnmadrlegaldong_cdstrd_yearxuarar_cdcbxuar_hshld_costcbarcd_minm_potvalecbarcd_max_potvalecbarcd_ave_potvalecbarcd_median_potvalecbxuar_minm_potvalecbxuar_max_potvalecbxuar_ave_potvalecbxuar_median_potvalecbxuar_stdvsigngu_potvale_rnksigngu_potvale_prcntlsigngu_potvale_cume_distctpr_potvale_rnkctpr_potvale_prcntlctpr_potvale_cume_distntwd_potvale_rnkntwd_potvale_prcntlntwd_potvale_cume_distlola
035655APT1168010500100002000001브르넨삼성서울특별시 강남구 영동대로122길 21168010500202239.86118600000001260000000106000000010600000001260000000126000000012600000001260000000<NA>11000110008269965127.05941837.516764
135656APT1168010500100002000001브르넨삼성서울특별시 강남구 영동대로122길 21168010500202228.5611860000000126000000010600000001060000000860000000860000000860000000860000000<NA>11000110008269965127.05941837.516764
235657APT1168010500100002000001브르넨삼성서울특별시 강남구 영동대로122길 21168010500202240.07261311000000168300000014912500001485000000131100000014760000001393500000139500000066379967518911919913844982127.05941837.516764
335658APT1168010500100002000001브르넨삼성서울특별시 강남구 영동대로122길 21168010500202249.86261311000000168300000014912500001485000000149400000016830000001589000000159050000075984209518811919913844982127.05941837.516764
435659APT1168010500100002000001브르넨삼성서울특별시 강남구 영동대로122길 21168010500202263.8736183500000020660000001950833333195250000018350000002066000000195083333319525000009292021795901015810011798991127.05941837.516764
535660APT1168010500100002000001브르넨삼성서울특별시 강남구 영동대로122길 21168010500202296.264132120000003278000000324500000032450000003278000000327800000032780000003278000000<NA>210001810003811000127.05941837.516764
635661APT1168010500100002000001브르넨삼성서울특별시 강남구 영동대로122길 211680105002022120.724132120000003278000000324500000032450000003212000000321200000032120000003212000000<NA>210001810003811000127.05941837.516764
735662APT1168010500100646000001위레벤646서울특별시 강남구 영동대로 6461168010500202238.9711785000000983000000830333333842000000983000000983000000983000000983000000<NA>1098314100012906938127.05782937.519663
835663APT1168010500100646000001위레벤646서울특별시 강남구 영동대로 6461168010500202238.2111785000000983000000830333333842000000931000000931000000931000000931000000<NA>1098314100012906938127.05782937.519663
935664APT1168010500100646000001위레벤646서울특별시 강남구 영동대로 6461168010500202231.21120785000000983000000830333333842000000842000000864000000853000000853000000112857621097314100012906938127.05782937.519663
uidapt_cdapt_nmrdnmadrlegaldong_cdstrd_yearxuarar_cdcbxuar_hshld_costcbarcd_minm_potvalecbarcd_max_potvalecbarcd_ave_potvalecbarcd_median_potvalecbxuar_minm_potvalecbxuar_max_potvalecbxuar_ave_potvalecbxuar_median_potvalecbxuar_stdvsigngu_potvale_rnksigngu_potvale_prcntlsigngu_potvale_cume_distctpr_potvale_rnkctpr_potvale_prcntlctpr_potvale_cume_distntwd_potvale_rnkntwd_potvale_prcntlntwd_potvale_cume_distlola
4035695APT1168020000032803000001삼성래미안서울특별시 강남구 남부순환로 28031168011800202289.884481844000000246600000022810000002343000000184400000020070000001968916666199500000048449945163821726297311291001127.05064937.489786
4135696APT1168020000060379000001포이벨리서울특별시 강남구 양재대로 3791168010300202284.6931050200000053400000052120000053400000050200000053400000052120000053400000016524729762168461176634267338516127.05521537.474608
4235697APT1168021020010240000001SK허브프리모서울특별시 강남구 강남대로 2401168011800202233.8164260000000277000000272250000275500000260000000277000000272250000275500000595752216559397048713604546536127.03438637.485276
4335698APT1168021020010240000001SK허브프리모서울특별시 강남구 강남대로 2401168011800202248.642339700000042400000040933333340700000039700000042400000040933333340700000013650397359277334696239382857823127.03438637.485276
4435699APT1168021020010240000001SK허브프리모서울특별시 강남구 강남대로 2401168011800202263.0931251700000068600000062599082562300000051700000055800000053600000053300000017622300636297041997723199658912127.03438637.485276
4535700APT1168021020010240000001SK허브프리모서울특별시 강남구 강남대로 2401168011800202269.1831351700000068600000062599082562300000060000000067800000065215384667800000033679485636307041997723199658912127.03438637.485276
4635701APT1168021020010240000001SK허브프리모서울특별시 강남구 강남대로 2401168011800202268.963351700000068600000062599082562300000062000000067800000065666666667200000031895663636307041997723199658912127.03438637.485276
4735702APT1168021020010240000001SK허브프리모서울특별시 강남구 강남대로 2401168011800202270.3131351700000068600000062599082562300000060500000068600000066376923068600000031019225636307041997723199658912127.03438637.485276
4835703APT1168021020010240000001SK허브프리모서울특별시 강남구 강남대로 2401168011800202267.531651700000068600000062599082562300000058100000062300000061150000062000000015099669636297041997723199658912127.03438637.485276
4935704APT1168021020010240000001SK허브프리모서울특별시 강남구 강남대로 2401168011800202267.5735251700000068600000062599082562300000057100000066700000063346153866700000038596181636307041997723199658912127.03438637.485276