# Overview

Dataset statistics

Number of variables | 15
Number of observations | 15000
Missing cells | 2573
Missing cells (%) | 1.1%
Total size in memory | 6.7 MiB
Average record size in memory | 471.2 B

Variable types

Numeric | 7
Categorical | 6
Boolean | 2

Alerts

`tempo_emprego` has 2573 (17.2%) missing values | Missing
`Unnamed: 0` has unique values | Unique
`qtd_filhos` has 10376 (69.2%) zeros | Zeros

Reproduction

Analysis started | 2021-10-01 13:29:29.478915
Analysis finished | 2021-10-01 13:29:30.156325
Duration | 0.68 seconds
Software version | pandas-profiling v3.1.0
Download configuration | config.json

# Variables

Unnamed: 0
Real number (ℝ≥0)

`UNIQUE`

Distinct | 15000
Distinct (%) | 100.0%
Missing | 0
Missing (%) | 0.0%
Infinite | 0
Infinite (%) | 0.0%
Mean | 7499.5

Minimum | 0
Maximum | 14999
Zeros | 1
Zeros (%) | < 0.1%
Negative | 0
Negative (%) | 0.0%
Memory size | 117.3 KiB

Quantile statistics

Minimum | 0
5-th percentile | 749.95
Q1 | 3749.75
median | 7499.5
Q3 | 11249.25
95-th percentile | 14249.05
Maximum | 14999
Range | 14999
Interquartile range (IQR) | 7499.5

Descriptive statistics

Standard deviation | 4330.271354
Coefficient of variation (CV) | 0.5774080077
Kurtosis | -1.2
Mean | 7499.5
Median Absolute Deviation (MAD) | 3750
Skewness | 0
Sum | 112492500
Variance | 18751250
Monotonicity | Strictly increasing

Histogram with fixed size bins (bins=50)

Value | Count | Frequency (%)
2047 | 1 | < 0.1%
8801 | 1 | < 0.1%
629 | 1 | < 0.1%
2676 | 1 | < 0.1%
12915 | 1 | < 0.1%
14962 | 1 | < 0.1%
8817 | 1 | < 0.1%
10864 | 1 | < 0.1%
4711 | 1 | < 0.1%
6758 | 1 | < 0.1%
Other values (14990) | 14990 | 99.9%

Value | Count | Frequency (%)
0 | 1 | < 0.1%
1 | 1 | < 0.1%
2 | 1 | < 0.1%
3 | 1 | < 0.1%
4 | 1 | < 0.1%
5 | 1 | < 0.1%
6 | 1 | < 0.1%
7 | 1 | < 0.1%
8 | 1 | < 0.1%
9 | 1 | < 0.1%

Value | Count | Frequency (%)
14999 | 1 | < 0.1%
14998 | 1 | < 0.1%
14997 | 1 | < 0.1%
14996 | 1 | < 0.1%
14995 | 1 | < 0.1%
14994 | 1 | < 0.1%
14993 | 1 | < 0.1%
14992 | 1 | < 0.1%
14991 | 1 | < 0.1%
14990 | 1 | < 0.1%

data_ref
Categorical

Distinct | 15
Distinct (%) | 0.1%
Missing | 0
Missing (%) | 0.0%
Memory size | 981.6 KiB

2016-02-01 | 1000
2015-05-01 | 1000
2015-08-01 | 1000
2015-11-01 | 1000
2015-06-01 | 1000
Other values (10) | 10000

Characters and Unicode

Total characters | 0
Distinct characters | 0
Distinct categories | 0 ?
Distinct scripts | 0 ?
Distinct blocks | 0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique | 0 ?
Unique (%) | 0.0%

Sample

1st row | 2015-01-01
2nd row | 2015-01-01
3rd row | 2015-01-01
4th row | 2015-01-01
5th row | 2015-01-01

#### Common Values

Value | Count | Frequency (%)
2016-02-01 | 1000 | 6.7%
2015-05-01 | 1000 | 6.7%
2015-08-01 | 1000 | 6.7%
2015-11-01 | 1000 | 6.7%
2015-06-01 | 1000 | 6.7%
2015-12-01 | 1000 | 6.7%
2015-04-01 | 1000 | 6.7%
2015-10-01 | 1000 | 6.7%
2015-07-01 | 1000 | 6.7%
2015-01-01 | 1000 | 6.7%
Other values (5) | 5000 | 33.3%

Value | Count | Frequency (%)
2015-03-01 | 1000 | 6.7%
2015-09-01 | 1000 | 6.7%
2016-01-01 | 1000 | 6.7%
2015-02-01 | 1000 | 6.7%
2016-03-01 | 1000 | 6.7%
2015-01-01 | 1000 | 6.7%
2015-07-01 | 1000 | 6.7%
2015-10-01 | 1000 | 6.7%
2015-04-01 | 1000 | 6.7%
2015-12-01 | 1000 | 6.7%
Other values (5) | 5000 | 33.3%

#### Most occurring characters

Value | Count | Frequency (%)
No values found.

#### Most occurring categories

Value | Count | Frequency (%)
No values found.

#### Most frequent character per category

#### Most occurring scripts

Value | Count | Frequency (%)
No values found.

#### Most frequent character per script

#### Most occurring blocks

Value | Count | Frequency (%)
No values found.

#### Most frequent character per block

id_cliente
Real number (ℝ≥0)

Distinct | 9845
Distinct (%) | 65.6%
Missing | 0
Missing (%) | 0.0%
Infinite | 0
Infinite (%) | 0.0%
Mean | 8304.8714

Minimum | 1
Maximum | 16649
Zeros | 0
Zeros (%) | 0.0%
Negative | 0
Negative (%) | 0.0%
Memory size | 117.3 KiB

Quantile statistics

Minimum | 1
5-th percentile | 843.9
Q1 | 4181
median | 8297
Q3 | 12403
95-th percentile | 15846.15
Maximum | 16649
Range | 16648
Interquartile range (IQR) | 8222

Descriptive statistics

Standard deviation | 4797.780446
Coefficient of variation (CV) | 0.5777067717
Kurtosis | -1.192310779
Mean | 8304.8714
Median Absolute Deviation (MAD) | 4110.5
Skewness | 0.007218453187
Sum | 124573071
Variance | 23018697.21
Monotonicity | Not monotonic

Histogram with fixed size bins (bins=50)

Value | Count | Frequency (%)
6356 | 6 | < 0.1%
9948 | 6 | < 0.1%
5573 | 6 | < 0.1%
9351 | 6 | < 0.1%
8635 | 6 | < 0.1%
6062 | 6 | < 0.1%
7597 | 5 | < 0.1%
5494 | 5 | < 0.1%
12106 | 5 | < 0.1%
6486 | 5 | < 0.1%
Other values (9835) | 14944 | 99.6%

Value | Count | Frequency (%)
1 | 2 | < 0.1%
2 | 2 | < 0.1%
3 | 1 | < 0.1%
4 | 1 | < 0.1%
5 | 1 | < 0.1%
7 | 1 | < 0.1%
8 | 3 | < 0.1%
9 | 3 | < 0.1%
10 | 1 | < 0.1%
11 | 3 | < 0.1%

Value | Count | Frequency (%)
16649 | 1 | < 0.1%
16648 | 1 | < 0.1%
16647 | 2 | < 0.1%
16638 | 1 | < 0.1%
16637 | 1 | < 0.1%
16635 | 1 | < 0.1%
16634 | 1 | < 0.1%
16633 | 3 | < 0.1%
16632 | 1 | < 0.1%
16631 | 1 | < 0.1%

sexo
Categorical

Distinct | 2
Distinct (%) | < 0.1%
Missing | 0
Missing (%) | 0.0%
Memory size | 849.7 KiB

F | 10119
M | 4881

Characters and Unicode

Total characters | 0
Distinct characters | 0
Distinct categories | 0 ?
Distinct scripts | 0 ?
Distinct blocks | 0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique | 0 ?
Unique (%) | 0.0%

Sample

1st row | F
2nd row | M
3rd row | F
4th row | F
5th row | M

#### Common Values

Value | Count | Frequency (%)
F | 10119 | 67.5%
M | 4881 | 32.5%

Value | Count | Frequency (%)
f | 10119 | 67.5%
m | 4881 | 32.5%

#### Most occurring characters

Value | Count | Frequency (%)
No values found.

#### Most occurring categories

Value | Count | Frequency (%)
No values found.

#### Most frequent character per category

#### Most occurring scripts

Value | Count | Frequency (%)
No values found.

#### Most frequent character per script

#### Most occurring blocks

Value | Count | Frequency (%)
No values found.

#### Most frequent character per block

posse_de_veiculo
Boolean

Distinct | 2
Distinct (%) | < 0.1%
Missing | 0
Missing (%) | 0.0%
Memory size | 14.8 KiB

False | 9140
True | 5860

Value | Count | Frequency (%)
False | 9140 | 60.9%
True | 5860 | 39.1%

posse_de_imovel
Boolean

Distinct | 2
Distinct (%) | < 0.1%
Missing | 0
Missing (%) | 0.0%
Memory size | 14.8 KiB

True | 10143
False | 4857

Value | Count | Frequency (%)
True | 10143 | 67.6%
False | 4857 | 32.4%

qtd_filhos
Real number (ℝ≥0)

`ZEROS`

Distinct | 8
Distinct (%) | 0.1%
Missing | 0
Missing (%) | 0.0%
Infinite | 0
Infinite (%) | 0.0%
Mean | 0.4323333333

Minimum | 0
Maximum | 14
Zeros | 10376
Zeros (%) | 69.2%
Negative | 0
Negative (%) | 0.0%
Memory size | 117.3 KiB

Quantile statistics

Minimum | 0
5-th percentile | 0
Q1 | 0
median | 0
Q3 | 1
95-th percentile | 2
Maximum | 14
Range | 14
Interquartile range (IQR) | 1

Descriptive statistics

Standard deviation | 0.7466313589
Coefficient of variation (CV) | 1.726980784
Kurtosis | 17.97486657
Mean | 0.4323333333
Median Absolute Deviation (MAD) | 0
Skewness | 2.4870666
Sum | 6485
Variance | 0.5574583861
Monotonicity | Not monotonic

Histogram with fixed size bins (bins=8)

Value | Count | Frequency (%)
0 | 10376 | 69.2%
1 | 3037 | 20.2%
2 | 1376 | 9.2%
3 | 185 | 1.2%
4 | 17 | 0.1%
7 | 5 | < 0.1%
14 | 2 | < 0.1%
5 | 2 | < 0.1%

Value | Count | Frequency (%)
0 | 10376 | 69.2%
1 | 3037 | 20.2%
2 | 1376 | 9.2%
3 | 185 | 1.2%
4 | 17 | 0.1%
5 | 2 | < 0.1%
7 | 5 | < 0.1%
14 | 2 | < 0.1%

Value | Count | Frequency (%)
14 | 2 | < 0.1%
7 | 5 | < 0.1%
5 | 2 | < 0.1%
4 | 17 | 0.1%
3 | 185 | 1.2%
2 | 1376 | 9.2%
1 | 3037 | 20.2%
0 | 10376 | 69.2%

tipo_renda
Categorical

Distinct | 5
Distinct (%) | < 0.1%
Missing | 0
Missing (%) | 0.0%
Memory size | 1.1 MiB

Assalariado | 7633
Empresário | 3508
Pensionista | 2582
Servidor público | 1268
Bolsista | 9

Characters and Unicode

Total characters | 0
Distinct characters | 0
Distinct categories | 0 ?
Distinct scripts | 0 ?
Distinct blocks | 0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique | 0 ?
Unique (%) | 0.0%

Sample

1st row | Empresário
2nd row | Assalariado
3rd row | Empresário
4th row | Servidor público
5th row | Assalariado

#### Common Values

Value | Count | Frequency (%)
Assalariado | 7633 | 50.9%
Empresário | 3508 | 23.4%
Pensionista | 2582 | 17.2%
Servidor público | 1268 | 8.5%
Bolsista | 9 | 0.1%

Value | Count | Frequency (%)
assalariado | 7633 | 46.9%
empresário | 3508 | 21.6%
pensionista | 2582 | 15.9%
público | 1268 | 7.8%
servidor | 1268 | 7.8%
bolsista | 9 | 0.1%

#### Most occurring characters

Value | Count | Frequency (%)
No values found.

#### Most occurring categories

Value | Count | Frequency (%)
No values found.

#### Most frequent character per category

#### Most occurring scripts

Value | Count | Frequency (%)
No values found.

#### Most frequent character per script

#### Most occurring blocks

Value | Count | Frequency (%)
No values found.

#### Most frequent character per block

educacao
Categorical

Distinct | 5
Distinct (%) | < 0.1%
Missing | 0
Missing (%) | 0.0%
Memory size | 1.2 MiB

Secundário | 8895
Superior completo | 5335
Superior incompleto | 579
Primário | 165
Pós graduação | 26

Characters and Unicode

Total characters | 0
Distinct characters | 0
Distinct categories | 0 ?
Distinct scripts | 0 ?
Distinct blocks | 0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique | 0 ?
Unique (%) | 0.0%

Sample

1st row | Secundário
2nd row | Superior completo
3rd row | Superior completo
4th row | Superior completo
5th row | Secundário

#### Common Values

Value | Count | Frequency (%)
Secundário | 8895 | 59.3%
Superior completo | 5335 | 35.6%
Superior incompleto | 579 | 3.9%
Primário | 165 | 1.1%
Pós graduação | 26 | 0.2%

Value | Count | Frequency (%)
secundário | 8895 | 42.5%
superior | 5914 | 28.2%
completo | 5335 | 25.5%
incompleto | 579 | 2.8%
primário | 165 | 0.8%
graduação | 26 | 0.1%
pós | 26 | 0.1%

#### Most occurring characters

Value | Count | Frequency (%)
No values found.

#### Most occurring categories

Value | Count | Frequency (%)
No values found.

#### Most frequent character per category

#### Most occurring scripts

Value | Count | Frequency (%)
No values found.

#### Most frequent character per script

#### Most occurring blocks

Value | Count | Frequency (%)
No values found.

#### Most frequent character per block

estado_civil
Categorical

Distinct | 5
Distinct (%) | < 0.1%
Missing | 0
Missing (%) | 0.0%
Memory size | 968.4 KiB

Casado | 10534
Solteiro | 1798
União | 1078
Separado | 879
Viúvo | 711

Characters and Unicode

Total characters | 0
Distinct characters | 0
Distinct categories | 0 ?
Distinct scripts | 0 ?
Distinct blocks | 0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique | 0 ?
Unique (%) | 0.0%

Sample

1st row | Solteiro
2nd row | Casado
3rd row | Casado
4th row | Casado
5th row | Solteiro

#### Common Values

Value | Count | Frequency (%)
Casado | 10534 | 70.2%
Solteiro | 1798 | 12.0%
União | 1078 | 7.2%
Separado | 879 | 5.9%
Viúvo | 711 | 4.7%

Value | Count | Frequency (%)
casado | 10534 | 70.2%
solteiro | 1798 | 12.0%
união | 1078 | 7.2%
separado | 879 | 5.9%
viúvo | 711 | 4.7%

#### Most occurring characters

Value | Count | Frequency (%)
No values found.

#### Most occurring categories

Value | Count | Frequency (%)
No values found.

#### Most frequent character per category

#### Most occurring scripts

Value | Count | Frequency (%)
No values found.

#### Most frequent character per script

#### Most occurring blocks

Value | Count | Frequency (%)
No values found.

#### Most frequent character per block

tipo_residencia
Categorical

Distinct | 6
Distinct (%) | < 0.1%
Missing | 0
Missing (%) | 0.0%
Memory size | 907.0 KiB

Casa | 13532
Com os pais | 675
Governamental | 452
Aluguel | 194
Estúdio | 83

Characters and Unicode

Total characters | 0
Distinct characters | 0
Distinct categories | 0 ?
Distinct scripts | 0 ?
Distinct blocks | 0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique | 0 ?
Unique (%) | 0.0%

Sample

1st row | Casa
2nd row | Casa
3rd row | Casa
4th row | Casa
5th row | Governamental

#### Common Values

Value | Count | Frequency (%)
Casa | 13532 | 90.2%
Com os pais | 675 | 4.5%
Governamental | 452 | 3.0%
Aluguel | 194 | 1.3%
Estúdio | 83 | 0.6%
Comunitário | 64 | 0.4%

Value | Count | Frequency (%)
casa | 13532 | 82.8%
pais | 675 | 4.1%
os | 675 | 4.1%
com | 675 | 4.1%
governamental | 452 | 2.8%
aluguel | 194 | 1.2%
estúdio | 83 | 0.5%
comunitário | 64 | 0.4%

#### Most occurring characters

Value | Count | Frequency (%)
No values found.

#### Most occurring categories

Value | Count | Frequency (%)
No values found.

#### Most frequent character per category

#### Most occurring scripts

Value | Count | Frequency (%)
No values found.

#### Most frequent character per script

#### Most occurring blocks

Value | Count | Frequency (%)
No values found.

#### Most frequent character per block

idade
Real number (ℝ≥0)

Distinct | 47
Distinct (%) | 0.3%
Missing | 0
Missing (%) | 0.0%
Infinite | 0
Infinite (%) | 0.0%
Mean | 43.88233333

Minimum | 22
Maximum | 68
Zeros | 0
Zeros (%) | 0.0%
Negative | 0
Negative (%) | 0.0%
Memory size | 117.3 KiB

Quantile statistics

Minimum | 22
5-th percentile | 27
Q1 | 34
median | 43
Q3 | 53
95-th percentile | 63
Maximum | 68
Range | 46
Interquartile range (IQR) | 19

Descriptive statistics

Standard deviation | 11.27315514
Coefficient of variation (CV) | 0.2568950711
Kurtosis | -1.044419826
Mean | 43.88233333
Median Absolute Deviation (MAD) | 9
Skewness | 0.1726836216
Sum | 658235
Variance | 127.0840268
Monotonicity | Not monotonic

Histogram with fixed size bins (bins=47)

Value | Count | Frequency (%)
40 | 538 | 3.6%
37 | 469 | 3.1%
43 | 458 | 3.1%
32 | 455 | 3.0%
33 | 441 | 2.9%
39 | 440 | 2.9%
38 | 438 | 2.9%
27 | 436 | 2.9%
60 | 435 | 2.9%
46 | 431 | 2.9%
Other values (37) | 10459 | 69.7%

Value | Count | Frequency (%)
22 | 15 | 0.1%
23 | 26 | 0.2%
24 | 99 | 0.7%
25 | 133 | 0.9%
26 | 177 | 1.2%
27 | 436 | 2.9%
28 | 410 | 2.7%
29 | 377 | 2.5%
30 | 429 | 2.9%
31 | 403 | 2.7%

Value | Count | Frequency (%)
68 | 13 | 0.1%
67 | 66 | 0.4%
66 | 127 | 0.8%
65 | 143 | 1.0%
64 | 201 | 1.3%
63 | 238 | 1.6%
62 | 241 | 1.6%
61 | 253 | 1.7%
60 | 435 | 2.9%
59 | 308 | 2.1%

tempo_emprego
Real number (ℝ≥0)

`MISSING`

Distinct | 2589
Distinct (%) | 20.8%
Missing | 2573
Missing (%) | 17.2%
Infinite | 0
Infinite (%) | 0.0%
Mean | 7.722634652

Minimum | 0.1178082192
Maximum | 42.90684932
Zeros | 0
Zeros (%) | 0.0%
Negative | 0
Negative (%) | 0.0%
Memory size | 117.3 KiB

Quantile statistics

Minimum | 0.1178082192
5-th percentile | 0.721369863
Q1 | 2.973972603
median | 6.01369863
Q3 | 10.12054795
95-th percentile | 21.43561644
Maximum | 42.90684932
Range | 42.7890411
Interquartile range (IQR) | 7.146575342

Descriptive statistics

Standard deviation | 6.711188751
Coefficient of variation (CV) | 0.869028389
Kurtosis | 3.522176833
Mean | 7.722634652
Median Absolute Deviation (MAD) | 3.44109589
Skewness | 1.686996166
Sum | 95969.18082
Variance | 45.04005445
Monotonicity | Not monotonic

Histogram with fixed size bins (bins=50)

Value | Count | Frequency (%)
4.216438356 | 38 | 0.3%
6.934246575 | 30 | 0.2%
7.520547945 | 29 | 0.2%
15.44931507 | 27 | 0.2%
4.517808219 | 26 | 0.2%
5.717808219 | 26 | 0.2%
1.098630137 | 26 | 0.2%
4.597260274 | 25 | 0.2%
1.432876712 | 24 | 0.2%
2.682191781 | 24 | 0.2%
Other values (2579) | 12152 | 81.0%
(Missing) | 2573 | 17.2%

Value | Count | Frequency (%)
0.1178082192 | 2 | < 0.1%
0.1780821918 | 3 | < 0.1%
0.2 | 4 | < 0.1%
0.2164383562 | 1 | < 0.1%
0.2410958904 | 1 | < 0.1%
0.2438356164 | 2 | < 0.1%
0.2493150685 | 3 | < 0.1%
0.2520547945 | 1 | < 0.1%
0.2547945205 | 10 | 0.1%
0.2602739726 | 7 | < 0.1%

Value | Count | Frequency (%)
42.90684932 | 3 | < 0.1%
41.2 | 17 | 0.1%
40.78630137 | 2 | < 0.1%
40.57534247 | 7 | < 0.1%
39.82465753 | 4 | < 0.1%
39.65205479 | 8 | 0.1%
39.48767123 | 1 | < 0.1%
39.28219178 | 1 | < 0.1%
38.40547945 | 1 | < 0.1%
36.86575342 | 4 | < 0.1%

qt_pessoas_residencia
Real number (ℝ≥0)

Distinct | 9
Distinct (%) | 0.1%
Missing | 0
Missing (%) | 0.0%
Infinite | 0
Infinite (%) | 0.0%
Mean | 2.2064

Minimum | 1
Maximum | 15
Zeros | 0
Zeros (%) | 0.0%
Negative | 0
Negative (%) | 0.0%
Memory size | 117.3 KiB

Quantile statistics

Minimum | 1
5-th percentile | 1
Q1 | 2
median | 2
Q3 | 3
95-th percentile | 4
Maximum | 15
Range | 14
Interquartile range (IQR) | 1

Descriptive statistics

Standard deviation | 0.9097916729
Coefficient of variation (CV) | 0.4123421288
Kurtosis | 6.716274427
Mean | 2.2064
Median Absolute Deviation (MAD) | 0
Skewness | 1.30045517
Sum | 33096
Variance | 0.8277208881
Monotonicity | Not monotonic

Histogram with fixed size bins (bins=9)

Value | Count | Frequency (%)
2 | 8181 | 54.5%
1 | 2752 | 18.3%
3 | 2551 | 17.0%
4 | 1311 | 8.7%
5 | 179 | 1.2%
6 | 18 | 0.1%
9 | 5 | < 0.1%
15 | 2 | < 0.1%
7 | 1 | < 0.1%

Value | Count | Frequency (%)
1 | 2752 | 18.3%
2 | 8181 | 54.5%
3 | 2551 | 17.0%
4 | 1311 | 8.7%
5 | 179 | 1.2%
6 | 18 | 0.1%
7 | 1 | < 0.1%
9 | 5 | < 0.1%
15 | 2 | < 0.1%

Value | Count | Frequency (%)
15 | 2 | < 0.1%
9 | 5 | < 0.1%
7 | 1 | < 0.1%
6 | 18 | 0.1%
5 | 179 | 1.2%
4 | 1311 | 8.7%
3 | 2551 | 17.0%
2 | 8181 | 54.5%
1 | 2752 | 18.3%

renda
Real number (ℝ≥0)

Distinct | 9786
Distinct (%) | 65.2%
Missing | 0
Missing (%) | 0.0%
Infinite | 0
Infinite (%) | 0.0%
Mean | 5697.287057

Minimum | 118.71
Maximum | 245141.67
Zeros | 0
Zeros (%) | 0.0%
Negative | 0
Negative (%) | 0.0%
Memory size | 117.3 KiB

Quantile statistics

Minimum | 118.71
5-th percentile | 939.11
Q1 | 2026.11
median | 3499.72
Q3 | 6392.1675
95-th percentile | 16885.964
Maximum | 245141.67
Range | 245022.96
Interquartile range (IQR) | 4366.0575

Descriptive statistics

Standard deviation | 8266.816289
Coefficient of variation (CV) | 1.451009262
Kurtosis | 131.8811994
Mean | 5697.287057
Median Absolute Deviation (MAD) | 1810.345
Skewness | 8.385628482
Sum | 85459305.85
Variance | 68340251.56
Monotonicity | Not monotonic

Histogram with fixed size bins (bins=50)

Value | Count | Frequency (%)
2999.59 | 6 | < 0.1%
9826.31 | 6 | < 0.1%
1272.04 | 6 | < 0.1%
4234.94 | 6 | < 0.1%
43433.94 | 6 | < 0.1%
5402.44 | 6 | < 0.1%
728.96 | 6 | < 0.1%
2610.77 | 5 | < 0.1%
2559.18 | 5 | < 0.1%
11365.88 | 5 | < 0.1%
Other values (9776) | 14943 | 99.6%

Value | Count | Frequency (%)
118.71 | 1 | < 0.1%
211.04 | 1 | < 0.1%
222.87 | 2 | < 0.1%
238.2 | 1 | < 0.1%
249.14 | 2 | < 0.1%
269.09 | 1 | < 0.1%
275.11 | 1 | < 0.1%
300.76 | 2 | < 0.1%
307.48 | 2 | < 0.1%
316.7 | 2 | < 0.1%

Value | Count | Frequency (%)
245141.67 | 1 | < 0.1%
179538.8 | 1 | < 0.1%
172748.39 | 1 | < 0.1%
166223.85 | 2 | < 0.1%
154006.23 | 1 | < 0.1%
140482.94 | 1 | < 0.1%
121348.3 | 2 | < 0.1%
119626.38 | 1 | < 0.1%
107414.21 | 2 | < 0.1%
102641.07 | 1 | < 0.1%