Download - combustivel 040811
8/4/2019 combustivel 040811
http://slidepdf.com/reader/full/combustivel-040811 1/54
Modelo Análise dos dados - Revisão extraordinária 2011
Cálculos - Consumo de combustível
Análise Individual
Empresa Vitória
1. Percurso mensal (km)
≔dados_km READEXCEL ,“.\Dados Operacionais.xlsx” “km_empresa!D2:O15”
≔kmvitoria
T
submatrix ,,,,dados_km 2 2 0 11
=kmvitoria
996571.00897392.00
1007764.00968234.00
1005642.00892515.00
1020099.001015122.00
982152.001007006.00
984205.001036857.00
⎡⎢⎢⎢⎢⎢⎢⎢⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥⎥⎥⎥⎥⎥⎥⎥
⎦
≔periodo
“jan”“fev”“mar”“abr”“mai”“jun”“jul”“ago”“set”“out”
“nov”“dez”
⎡⎢⎢⎢⎢⎢⎢⎢⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥⎥⎥⎥⎥⎥⎥⎥
⎦
200000
300000
400000
500000
600000
700000
800000
900000
1000000
0
100000
1100000
jan fev mar abr mai jun jul ago set out nov dez
periodo
kmvitoria
8/4/2019 combustivel 040811
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≔boxkm_vitoria boxplot kmvitoria
25%
50%
75%
min
max
outliers...
≔label “a”
=boxkm_vitoria
971713.51001106.5
1013282.5968234
1036857892515897392
⎡⎢
⎢⎢⎢⎢⎢
⎣
⎤⎥
⎥⎥⎥⎥⎥
⎦
920000
935000
950000
965000
980000
995000
1010000
1025000
890000
905000
1040000
a
label
Tboxkm_vitoria
≔mediavitoria mean kmvitoria ≔desvpadvitoria Stdev kmvitoria
≔medianavitoria median kmvitoria
≔estat_descvitoria
mediavitoria
medianavitoria
desvpadvitoria
⎡⎢⎢⎣
⎤⎥⎥⎦
=estat_descvitoria
984463.251001106.50
45632.81
⎡⎢
⎣
⎤⎥
⎦
8/4/2019 combustivel 040811
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2. Consumo de combustível (litros por mês)
≔dados_comb READEXCEL ,“.\Dados Operacionais.xlsx” “combustivel!D2:O15”
≔combvitoria
T
submatrix ,,,,dados_comb 2 2 0 11
=combvitoria
359762.50322057.04363759.04347348.24363531.12320351.40368235.60366443.70352025.70363488.10352353.70375189.50
⎡⎢⎢⎢⎢⎢⎢
⎢⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥⎥
⎥⎥⎥⎥⎥⎥
⎦
≔periodo
“jan”“fev”“mar”“abr”“mai”“jun”“jul”“ago”“set”“out”“nov”“dez”
⎡⎢⎢⎢⎢⎢⎢
⎢⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥⎥
⎥⎥⎥⎥⎥⎥
⎦
80000
120000
160000
200000
240000
280000
320000
360000
0
40000
400000
jan fev mar abr mai jun jul ago set out nov dez
periodo
combvitoria
8/4/2019 combustivel 040811
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≔boxcomb_vitoria boxplot combvitoria
25%
50%
75%
min
max
outliers...
≔label “a”
=boxcomb_vitoria
348517.61
361625.30365772.54347348.24375189.50320351.40322057.04
⎡
⎢⎢⎢⎢⎢⎢
⎣
⎤
⎥⎥⎥⎥⎥⎥
⎦
331000
336500
342000
347500
353000
358500
364000
369500
375000
320000
325500
380500
a
label
Tboxcomb_vitoria
≔mediavitoria mean combvitoria ≔desvpadvitoria Stdev combvitoria
≔medianavitoria median combvitoria
≔estat_descvitoria
mediavitoria
medianavitoria
desvpadvitoria
⎡⎢⎢⎣
⎤⎥⎥⎦
=estat_descvitoria
354545.47361625.30
17361.58
⎡⎢
⎣
⎤⎥
⎦
8/4/2019 combustivel 040811
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3. Consumo de combustível (litros por quilômetro)
≔cons_combvitoria ―――combvitoria
kmvitoria
≔rendvitoria ――――1
cons_combvitoria
=cons_combvitoria
0.36100.35890.36100.35870.36150.35890.36100.36100.35840.36100.35800.3619
⎡⎢⎢⎢⎢⎢⎢
⎢⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥⎥
⎥⎥⎥⎥⎥⎥
⎦
=rendvitoria
2.77012.78642.77042.78752.76632.78602.77022.77022.79002.77042.79322.7636
⎡⎢⎢⎢⎢⎢⎢
⎢⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥⎥
⎥⎥⎥⎥⎥⎥
⎦
≔periodo
“jan”“fev”“mar”“abr”“mai”“jun”“jul”“ago”“set”“out”“nov”“dez”
⎡⎢⎢⎢⎢⎢⎢
⎢⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥⎥
⎥⎥⎥⎥⎥⎥
⎦
0.2840
0.2935
0.3030
0.3125
0.3220
0.3315
0.3410
0.3505
0.3600
0.2650
0.2745
0.3695
jan fev mar abr mai jun jul ago set out nov dez
periodo
cons_combvitoria
8/4/2019 combustivel 040811
http://slidepdf.com/reader/full/combustivel-040811 6/54
≔boxcons_comb_vitoria boxplot cons_combvitoria
25%
50%
75%
min
max
outliers...
≔label “a”
=boxcons_comb_vitoria
0.3588
0.36100.36100.35800.3619
⎡
⎢⎢⎢⎢⎣
⎤
⎥⎥⎥⎥⎦
0.3588
0.3592
0.3596
0.3600
0.3604
0.3608
0.3612
0.3616
0.3580
0.3584
0.3620
a
label
Tboxcons_comb_vitoria
≔mediavitoria mean cons_combvitoria ≔desvpadvitoria Stdev cons_combvitoria
≔medianavitoria median cons_combvitoria
≔estat_descvitoria
mediavitoria
medianavitoria
desvpadvitoria
⎡⎢⎢⎣
⎤⎥⎥⎦
=estat_descvitoria
0.36010.36100.0014
⎡⎢
⎣
⎤⎥
⎦
=≔rendvitoria ―――1
mediavitoria
2.777
8/4/2019 combustivel 040811
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Empresa ViaMetro
1. Percurso mensal (km)
≔dados_km READEXCEL ,“.\Dados Operacionais.xlsx” “km_empresa!D2:O15”
≔kmviametro
T
submatrix ,,,,dados_km 0 0 0 11
=kmviametro
778399.00694907.00798096.00745200.00789500.00633375.00796434.00
789728.00773278.00799014.00773257.00839887.00
⎡⎢⎢⎢⎢⎢⎢⎢
⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥⎥⎥
⎥⎥⎥⎥⎥
⎦
≔periodo
“jan”“fev”“mar”“abr”“mai”“jun”“jul”
“ago”“set”“out”“nov”“dez”
⎡⎢⎢⎢⎢⎢⎢⎢
⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥⎥⎥
⎥⎥⎥⎥⎥
⎦
170000
255000
340000
425000
510000
595000
680000
765000
0
85000
850000
jan fev mar abr mai jun jul ago set out nov dez
periodo
kmviametro
8/4/2019 combustivel 040811
http://slidepdf.com/reader/full/combustivel-040811 8/54
≔boxkm_viametro boxplot kmviametro
25%
50%
75%
min
max
outliers...
≔label “a”
=boxkm_viametro
752214.25
783949.5797680.5694907839887633375
⎡
⎢⎢⎢⎢⎢
⎣
⎤
⎥⎥⎥⎥⎥
⎦
670000
690000
710000
730000
750000
770000
790000
810000
830000
630000
650000
850000
a
label
Tboxkm_viametro
≔mediaviametro mean kmviametro ≔desvpadviametro Stdev kmviametro
≔medianaviametro median kmviametro
≔estat_descviametro
mediaviametro
medianaviametro
desvpadviametro
⎡⎢⎢⎣
⎤⎥⎥⎦
=estat_descviametro
767589.58783949.50
54710.94
⎡⎢
⎣
⎤⎥
⎦
8/4/2019 combustivel 040811
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2. Consumo de combustível (litros por mês)
≔dados_comb READEXCEL ,“.\Dados Operacionais.xlsx” “combustivel!D2:O15”
≔combviametro
T
submatrix ,,,,dados_comb 0 0 0 11
=combviametro
285147.00261888.00302593.00281538.00294080.00244127.00288842.00297528.00288745.00285180.00277570.00304566.00
⎡⎢⎢⎢⎢⎢⎢
⎢⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥⎥
⎥⎥⎥⎥⎥⎥
⎦
≔periodo
“jan”“fev”“mar”“abr”“mai”“jun”“jul”“ago”“set”“out”“nov”“dez”
⎡⎢⎢⎢⎢⎢⎢
⎢⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥⎥
⎥⎥⎥⎥⎥⎥
⎦
60000
90000
120000
150000
180000
210000
240000
270000
300000
0
30000
330000
jan fev mar abr mai jun jul ago set out nov dez
periodo
combviametro
8/4/2019 combustivel 040811
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≔boxcomb_viametro boxplot combviametro
25%
50%
75%
min
max
outliers...
≔label “a”
=boxcomb_viametro
278562.00286962.50296666.00261888.00304566.00244127.00
⎡⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥
⎦
256000
262000
268000
274000
280000
286000
292000
298000
304000
244000
250000
310000
a
label
Tboxcomb_viametro
≔mediaviametro mean combviametro ≔desvpadviametro Stdev combviametro
≔medianaviametro median combviametro
≔estat_descviametro
mediaviametro
medianaviametro
desvpadviametro
⎡⎢⎢⎣
⎤⎥⎥⎦
=estat_descviametro
284317.00286962.50
17127.70
⎡⎢
⎣
⎤⎥
⎦
8/4/2019 combustivel 040811
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3. Consumo de combustível (litros por quilômetro)
≔cons_combviametro ―――combviametro
kmviametro
≔rendviametro ―――――1
cons_combviametro
=cons_combviametro
0.36630.37690.37910.37780.37250.38540.3627
0.37670.37340.35690.35900.3626
⎡⎢⎢⎢⎢⎢⎢⎢
⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥⎥⎥
⎥⎥⎥⎥⎥
⎦
=rendviametro
2.72982.65352.63752.64692.68462.59442.7573
2.65432.67812.80182.78582.7577
⎡⎢⎢⎢⎢⎢⎢⎢
⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥⎥⎥
⎥⎥⎥⎥⎥
⎦
≔periodo
“jan”“fev”“mar”“abr”“mai”“jun”“jul”
“ago”“set”“out”“nov”“dez”
⎡⎢⎢⎢⎢⎢⎢⎢
⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥⎥⎥
⎥⎥⎥⎥⎥
⎦
0.2850
0.2950
0.3050
0.3150
0.3250
0.3350
0.3450
0.3550
0.3650
0.3750
0.3850
0.2650
0.2750
0.3950
jan fev mar abr mai jun jul ago set out nov dez
periodo
cons_combviametro
8/4/2019 combustivel 040811
http://slidepdf.com/reader/full/combustivel-040811 12/54
≔boxcons_comb_viametro boxplot cons_combviametro
25%
50%
75%
min
max
outliers...
≔label “a”
=boxcons_comb_viametro
0.3626
0.37290.37760.35690.3854
⎡
⎢⎢⎢⎢⎣
⎤
⎥⎥⎥⎥⎦
0.3625
0.3655
0.3685
0.3715
0.3745
0.3775
0.3805
0.3835
0.3565
0.3595
0.3865
a
label
Tboxcons_comb_viametro
≔mediaviametro mean cons_combviametro ≔desvpadviametro Stdev cons_combviametro
≔medianaviametro median cons_combviametro
≔estat_descviametro
mediaviametro
medianaviametro
desvpadviametro
⎡⎢⎢⎣
⎤⎥⎥⎦
=estat_descviametro
0.37080.37290.0090
⎡⎢
⎣
⎤⎥
⎦
=≔rendviametro ――――1
mediaviametro
2.697
8/4/2019 combustivel 040811
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Empresa São Paulo
1. Percurso mensal (km)
≔dados_km READEXCEL ,“.\Dados Operacionais.xlsx” “km_empresa!D2:O15”
≔kmsp
T
submatrix ,,,,dados_km 1 1 0 11
=kmsp
144178.00133899.00148371.00136007.00146791.00141889.00146920.00
148447.00141965.00152067.00147147.00159133.00
⎡⎢⎢⎢⎢⎢⎢⎢
⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥⎥⎥
⎥⎥⎥⎥⎥
⎦
≔periodo
“jan”“fev”“mar”“abr”“mai”“jun”“jul”
“ago”“set”“out”“nov”“dez”
⎡⎢⎢⎢⎢⎢⎢⎢
⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥⎥⎥
⎥⎥⎥⎥⎥
⎦
30000
45000
60000
75000
90000
105000
120000
135000
150000
0
15000
165000
jan fev mar abr mai jun jul ago set out nov dez
periodo
kmsp
8/4/2019 combustivel 040811
http://slidepdf.com/reader/full/combustivel-040811 14/54
≔boxkm_sp boxplot kmsp
25%
50%
75%
min
max
outliers...
≔label “a”
=boxkm_sp
141908
146855.5148428133899152067159133
⎡
⎢⎢⎢⎢⎢
⎣
⎤
⎥⎥⎥⎥⎥
⎦
138500
141000
143500
146000
148500
151000
153500
156000
158500
133500
136000
161000
a
label
Tboxkm_sp
≔mediasp mean kmsp ≔desvpadsp Stdev kmsp
≔medianasp median kmsp
≔estat_descsp
mediasp
medianasp
desvpadsp
⎡⎢⎢⎣
⎤⎥⎥⎦
=estat_descsp
145567.83146855.50
6770.49
⎡⎢
⎣
⎤⎥
⎦
8/4/2019 combustivel 040811
http://slidepdf.com/reader/full/combustivel-040811 15/54
2. Consumo de combustível (litros por mês)
≔dados_comb READEXCEL ,“.\Dados Operacionais.xlsx” “combustivel!D2:O15”
≔combsp
T
submatrix ,,,,dados_comb 1 1 0 11
=combsp
51137.2047997.1053250.0048705.6051517.1048250.5050844.3050863.0050443.0052865.0049936.0053972.40
⎡⎢⎢⎢⎢⎢⎢
⎢⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥⎥
⎥⎥⎥⎥⎥⎥
⎦
≔periodo
“jan”“fev”“mar”“abr”“mai”“jun”“jul”“ago”“set”“out”“nov”“dez”
⎡⎢⎢⎢⎢⎢⎢
⎢⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥⎥
⎥⎥⎥⎥⎥⎥
⎦
11000
16500
22000
27500
33000
38500
44000
49500
0
5500
55000
jan fev mar abr mai jun jul ago set out nov dez
periodo
combsp
8/4/2019 combustivel 040811
http://slidepdf.com/reader/full/combustivel-040811 16/54
≔boxcomb_sp boxplot combsp
25%
50%
75%
min
max
outliers...
≔label “a”
=boxcomb_sp
49013.2050853.6552528.0347997.1053972.40
⎡⎢⎢⎢⎢⎣
⎤⎥⎥⎥⎥⎦
49150
49750
50350
50950
51550
52150
52750
53350
53950
47950
48550
54550
a
label
Tboxcomb_sp
≔mediasp mean combsp ≔desvpadsp Stdev combsp
≔medianasp median combsp
≔estat_descsp
mediasp
medianasp
desvpadsp
⎡⎢⎢⎣
⎤⎥⎥⎦
=estat_descsp
50815.1050853.65
1920.67
⎡⎢
⎣
⎤⎥
⎦
8/4/2019 combustivel 040811
http://slidepdf.com/reader/full/combustivel-040811 17/54
3. Consumo de combustível (litros por quilômetro)
≔cons_combsp ――combsp
kmsp
≔rendsp ――――1
cons_combsp
=cons_combsp
0.35470.35850.35890.35810.35100.34010.3461
0.34260.35530.34760.33940.3392
⎡⎢⎢⎢⎢⎢⎢⎢
⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥⎥⎥
⎥⎥⎥⎥⎥
⎦
=rendsp
2.81942.78972.78632.79242.84942.94072.8896
2.91862.81442.87652.94672.9484
⎡⎢⎢⎢⎢⎢⎢⎢
⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥⎥⎥
⎥⎥⎥⎥⎥
⎦
≔periodo
“jan”“fev”“mar”“abr”“mai”“jun”“jul”
“ago”“set”“out”“nov”“dez”
⎡⎢⎢⎢⎢⎢⎢⎢
⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥⎥⎥
⎥⎥⎥⎥⎥
⎦
0.2840
0.2935
0.3030
0.3125
0.3220
0.3315
0.3410
0.3505
0.2650
0.2745
0.3600
jan fev mar abr mai jun jul ago set out nov dez
periodo
cons_combsp
8/4/2019 combustivel 040811
http://slidepdf.com/reader/full/combustivel-040811 18/54
≔boxcons_comb_sp boxplot cons_combsp
25%
50%
75%
min
max
outliers...
≔label “a”
=boxcons_comb_sp
0.3407
0.34930.35740.33920.3589
⎡
⎢⎢⎢⎢⎣
⎤
⎥⎥⎥⎥⎦
0.3430
0.3450
0.3470
0.3490
0.3510
0.3530
0.3550
0.3570
0.3390
0.3410
0.3590
a
label
Tboxcons_comb_sp
≔mediasp mean cons_combsp ≔desvpadsp Stdev cons_combsp
≔medianasp median cons_combsp
≔estat_descsp
mediasp
medianasp
desvpadsp
⎡⎢⎢⎣
⎤⎥⎥⎦
=estat_descsp
0.34930.34930.0078
⎡⎢
⎣
⎤⎥
⎦
=≔rendsp ――1
mediasp
2.863
8/4/2019 combustivel 040811
http://slidepdf.com/reader/full/combustivel-040811 19/54
Empresa Expresso União
1. Percurso mensal (km)
≔dados_km READEXCEL ,“.\Dados Operacionais.xlsx” “km_empresa!D2:O15”
≔kmuniao
T
submatrix ,,,,dados_km 3 3 0 11
=kmuniao
4992.004624.005228.004992.005044.004992.005176.00
5044.004992.004992.005044.005176.00
⎡⎢⎢⎢⎢⎢⎢⎢
⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥⎥⎥
⎥⎥⎥⎥⎥
⎦
≔periodo
“jan”“fev”“mar”“abr”“mai”“jun”“jul”
“ago”“set”“out”“nov”“dez”
⎡⎢⎢⎢⎢⎢⎢⎢
⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥⎥⎥
⎥⎥⎥⎥⎥
⎦
1000
1500
2000
2500
3000
3500
4000
4500
5000
0
500
5500
jan fev mar abr mai jun jul ago set out nov dez
periodo
kmuniao
8/4/2019 combustivel 040811
http://slidepdf.com/reader/full/combustivel-040811 20/54
≔boxkm_uniao boxplot kmuniao
25%
50%
75%
min
max
outliers...
≔label “a”
=boxkm_uniao
4992
50185143499252284624
⎡
⎢⎢⎢⎢⎢
⎣
⎤
⎥⎥⎥⎥⎥
⎦
4740
4800
4860
4920
4980
5040
5100
5160
5220
4620
4680
5280
a
label
Tboxkm_uniao
≔mediauniao mean kmuniao ≔desvpaduniao Stdev kmuniao
≔medianauniao median kmuniao
≔estat_descuniao
mediauniao
medianauniao
desvpaduniao
⎡⎢⎢⎣
⎤⎥⎥⎦
=estat_descuniao
5024.675018.00
152.00
⎡⎢
⎣
⎤⎥
⎦
8/4/2019 combustivel 040811
http://slidepdf.com/reader/full/combustivel-040811 21/54
2. Consumo de combustível (litros por mês)
≔dados_comb READEXCEL ,“.\Dados Operacionais.xlsx” “combustivel!D2:O15”
≔combuniao
T
submatrix ,,,,dados_comb 3 3 0 11
=combuniao
1109.001027.001162.001109.001121.001109.001150.001121.001109.001109.001121.001150.00
⎡⎢⎢⎢⎢⎢⎢
⎢⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥⎥
⎥⎥⎥⎥⎥⎥
⎦
≔periodo
“jan”“fev”“mar”“abr”“mai”“jun”“jul”“ago”“set”“out”“nov”“dez”
⎡⎢⎢⎢⎢⎢⎢
⎢⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥⎥
⎥⎥⎥⎥⎥⎥
⎦
200
300
400
500
600
700
800
900
1000
1100
0
100
1200
jan fev mar abr mai jun jul ago set out nov dez
periodo
combuniao
8/4/2019 combustivel 040811
http://slidepdf.com/reader/full/combustivel-040811 22/54
≔boxcomb_uniao boxplot combuniao
25%
50%
75%
min
max
outliers...
≔label “a”
=boxcomb_uniao
1109.001115.001142.751109.001162.001027.00
⎡⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥
⎦
1055
1070
1085
1100
1115
1130
1145
1160
1025
1040
1175
a
label
Tboxcomb_uniao
≔mediauniao mean combuniao ≔desvpaduniao Stdev combuniao
≔medianauniao median combuniao
≔estat_descuniao
mediauniao
medianauniao
desvpaduniao
⎡⎢⎢⎣
⎤⎥⎥⎦
=estat_descuniao
1116.421115.00
33.93
⎡⎢
⎣
⎤⎥
⎦
8/4/2019 combustivel 040811
http://slidepdf.com/reader/full/combustivel-040811 23/54
3. Consumo de combustível (litros por quilômetro)
≔cons_combuniao ―――combuniao
kmuniao
≔renduniao ――――1
cons_combuniao
=cons_combuniao
0.22220.22210.22230.22220.22220.22220.2222
0.22220.22220.22220.22220.2222
⎡⎢⎢⎢⎢⎢⎢⎢
⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥⎥⎥
⎥⎥⎥⎥⎥
⎦
=renduniao
4.50144.50244.49914.50144.49964.50144.5009
4.49964.50144.50144.49964.5009
⎡⎢⎢⎢⎢⎢⎢⎢
⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥⎥⎥
⎥⎥⎥⎥⎥
⎦
≔periodo
“jan”“fev”“mar”“abr”“mai”“jun”“jul”
“ago”“set”“out”“nov”“dez”
⎡⎢⎢⎢⎢⎢⎢⎢
⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥⎥⎥
⎥⎥⎥⎥⎥
⎦
0.2213
0.2215
0.2216
0.2218
0.2219
0.2221
0.2222
0.2210
0.2212
0.2224
jan fev mar abr mai jun jul ago set out nov dez
periodo
cons_combuniao
8/4/2019 combustivel 040811
http://slidepdf.com/reader/full/combustivel-040811 24/54
≔boxcons_comb_uniao boxplot cons_combuniao
25%
50%
75%
min
max
outliers...
≔label “a”
=boxcons_comb_uniao
0.2222
0.22220.22220.22210.2223
⎡
⎢⎢⎢⎢⎣
⎤
⎥⎥⎥⎥⎦
0.2221
0.2221
0.2222
0.2222
0.2222
0.2222
0.2222
0.2222
0.2223
0.2221
0.2221
0.2223
a
label
Tboxcons_comb_uniao
≔mediauniao mean cons_combuniao ≔desvpaduniao Stdev cons_combuniao
≔medianauniao median cons_combuniao
≔estat_descuniao
mediauniao
medianauniao
desvpaduniao
⎡⎢⎢⎣
⎤⎥⎥⎦
=estat_descuniao
0.22220.22220.0001
⎡⎢
⎣
⎤⎥
⎦
8/4/2019 combustivel 040811
http://slidepdf.com/reader/full/combustivel-040811 25/54
Empresa FRETCAR
1. Percurso mensal (km)
≔dados_km READEXCEL ,“.\Dados Operacionais.xlsx” “km_empresa!D2:O15”
≔km fretcar
T
submatrix ,,,,dados_km 4 4 0 11
=km fretcar
167204.00147371.00170676.00159992.00166837.00159941.00180612.00
182127.00176211.00184076.00174824.00188771.00
⎡⎢⎢⎢⎢⎢⎢⎢
⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥⎥⎥
⎥⎥⎥⎥⎥
⎦
≔periodo
“jan”“fev”“mar”“abr”“mai”“jun”“jul”
“ago”“set”“out”“nov”“dez”
⎡⎢⎢⎢⎢⎢⎢⎢
⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥⎥⎥
⎥⎥⎥⎥⎥
⎦
40000
60000
80000
100000
120000
140000
160000
180000
0
20000
200000
jan fev mar abr mai jun jul ago set out nov dez
periodo
km fretcar
8/4/2019 combustivel 040811
http://slidepdf.com/reader/full/combustivel-040811 26/54
≔boxkm_fretcar boxplot km fretcar
25%
50%
75%
min
max
outliers...
≔label “a”
=boxkm_fretcar
161703.25
172750.00181748.25147371.00188771.00
⎡
⎢⎢⎢⎢⎣
⎤
⎥⎥⎥⎥⎦
155000
159000
163000
167000
171000
175000
179000
183000
187000
147000
151000
191000
a
label
Tboxkm_fretcar
≔media fretcar mean km fretcar ≔desvpad fretcar Stdev km fretcar
≔mediana fretcar median km fretcar
≔estat_desc fretcar
media fretcar
mediana fretcar
desvpad fretcar
⎡⎢⎢⎣
⎤⎥⎥⎦
=estat_desc fretcar
171553.50172750.00
11964.89
⎡⎢
⎣
⎤⎥
⎦
8/4/2019 combustivel 040811
http://slidepdf.com/reader/full/combustivel-040811 27/54
2. Consumo de combustível (litros por mês)
≔dados_comb READEXCEL ,“.\Dados Operacionais.xlsx” “combustivel!D2:O15”
≔comb fretcar
T
submatrix ,,,,dados_comb 4 4 0 11
=comb fretcar
61497.0054707.0063636.0062246.0064409.0060195.0063398.0064200.0062588.0063477.0059842.0066712.00
⎡⎢⎢⎢⎢⎢⎢
⎢⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥⎥
⎥⎥⎥⎥⎥⎥
⎦
≔periodo
“jan”“fev”“mar”“abr”“mai”“jun”“jul”“ago”“set”“out”“nov”“dez”
⎡⎢⎢⎢⎢⎢⎢
⎢⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥⎥
⎥⎥⎥⎥⎥⎥
⎦
13000
19500
26000
32500
39000
45500
52000
58500
65000
0
6500
71500
jan fev mar abr mai jun jul ago set out nov dez
periodo
comb fretcar
8/4/2019 combustivel 040811
http://slidepdf.com/reader/full/combustivel-040811 28/54
≔boxcomb_fretcar boxplot comb fretcar
25%
50%
75%
min
max
outliers...
≔label “a”
=boxcomb_fretcar
60520.5062993.0064059.0059842.0066712.0054707.00
⎡⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥
⎦
56500
57500
58500
59500
60500
61500
62500
63500
64500
65500
66500
54500
55500
67500
a
label
Tboxcomb_fretcar
≔media fretcar mean comb fretcar ≔desvpad fretcar Stdev comb fretcar
≔mediana fretcar median comb fretcar
≔estat_desc fretcar
media fretcar
mediana fretcar
desvpad fretcar
⎡⎢⎢⎣
⎤⎥⎥⎦
=estat_desc fretcar
62242.2562993.00
3025.90
⎡⎢
⎣
⎤⎥
⎦
8/4/2019 combustivel 040811
http://slidepdf.com/reader/full/combustivel-040811 29/54
3. Consumo de combustível (litros por quilômetro)
≔cons_comb fretcar ―――comb fretcar
km fretcar
≔rend fretcar ―――――1
cons_comb fretcar
=cons_comb fretcar
0.36780.37120.37280.38910.38610.37640.3510
0.35250.35520.34480.34230.3534
⎡⎢⎢⎢⎢⎢⎢⎢
⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥⎥⎥
⎥⎥⎥⎥⎥
⎦
=rend fretcar
2.71892.69382.68212.57032.59032.65702.8489
2.83692.81542.89992.92142.8296
⎡⎢⎢⎢⎢⎢⎢⎢
⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥⎥⎥
⎥⎥⎥⎥⎥
⎦
≔periodo
“jan”“fev”“mar”“abr”“mai”“jun”“jul”
“ago”“set”“out”“nov”“dez”
⎡⎢⎢⎢⎢⎢⎢⎢
⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥⎥⎥
⎥⎥⎥⎥⎥
⎦
0.0850
0.1250
0.1650
0.2050
0.2450
0.2850
0.3250
0.3650
0.0050
0.0450
0.4050
jan fev mar abr mai jun jul ago set out nov dez
periodo
cons_comb fretcar
8/4/2019 combustivel 040811
http://slidepdf.com/reader/full/combustivel-040811 30/54
≔boxcons_comb_fretcar boxplot cons_comb fretcar
25%
50%
75%
min
max
outliers...
≔label “a”
=boxcons_comb_fretcar
0.3514
0.36150.37550.34230.3891
⎡
⎢⎢⎢⎢⎣
⎤
⎥⎥⎥⎥⎦
0.3510
0.3555
0.3600
0.3645
0.3690
0.3735
0.3780
0.3825
0.3870
0.3420
0.3465
0.3915
a
label
Tboxcons_comb_fretcar
≔media fretcar mean cons_comb fretcar ≔desvpad fretcar Stdev cons_comb fretcar
≔mediana fretcar median cons_comb fretcar
≔estat_desc fretcar
media fretcar
mediana fretcar
desvpad fretcar
⎡⎢⎢⎣
⎤⎥⎥⎦
=estat_desc fretcar
0.36350.36150.0158
⎡⎢
⎣
⎤⎥
⎦
8/4/2019 combustivel 040811
http://slidepdf.com/reader/full/combustivel-040811 31/54
Empresa São Benedito
1. Percurso mensal (km)
≔dados_km READEXCEL ,“.\Dados Operacionais.xlsx” “km_empresa!D2:O15”
≔kmbenedito
T
submatrix ,,,,dados_km 8 8 0 11
=kmbenedito
484785.00448547.00483786.00469119.00483051.00449633.00475285.00
470356.00426358.00488383.00469435.00500387.00
⎡⎢⎢⎢⎢⎢⎢⎢
⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥⎥⎥
⎥⎥⎥⎥⎥
⎦
≔periodo
“jan”“fev”“mar”“abr”“mai”“jun”“jul”
“ago”“set”“out”“nov”“dez”
⎡⎢⎢⎢⎢⎢⎢⎢
⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥⎥⎥
⎥⎥⎥⎥⎥
⎦
100000
150000
200000
250000
300000
350000
400000
450000
500000
0
50000
550000
jan fev mar abr mai jun jul ago set out nov dez
periodo
kmbenedito
8/4/2019 combustivel 040811
http://slidepdf.com/reader/full/combustivel-040811 32/54
≔boxkm_benedito boxplot kmbenedito
25%
50%
75%
min
max
outliers...
≔label “a”
=boxkm_benedito
454504.5
472820.5484535.25426358500387
⎡
⎢⎢⎢⎢⎣
⎤
⎥⎥⎥⎥⎦
441000
448500
456000
463500
471000
478500
486000
493500
426000
433500
501000
a
label
Tboxkm_benedito
≔mediabenedito mean kmbenedito ≔desvpadbenedito Stdev kmbenedito
≔medianabenedito median kmbenedito
≔estat_descbenedito
mediabenedito
medianabenedito
desvpadbenedito
⎡⎢⎢⎣
⎤⎥⎥⎦
=estat_descbenedito
470760.42472820.50
20543.01
⎡⎢
⎣
⎤⎥
⎦
8/4/2019 combustivel 040811
http://slidepdf.com/reader/full/combustivel-040811 33/54
2. Consumo de combustível (litros por mês)
≔dados_comb READEXCEL ,“.\Dados Operacionais.xlsx” “combustivel!D2:O15”
≔combbenedito
T
submatrix ,,,,dados_comb 8 8 0 11
=combbenedito
188835.00203390.00193935.00185567.00158752.00149917.00161178.00160016.00151501.00157563.00149777.00161603.00
⎡⎢⎢⎢⎢⎢⎢
⎢⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥⎥
⎥⎥⎥⎥⎥⎥
⎦
≔periodo
“jan”“fev”“mar”“abr”“mai”“jun”“jul”“ago”“set”“out”“nov”“dez”
⎡⎢⎢⎢⎢⎢⎢
⎢⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥⎥
⎥⎥⎥⎥⎥⎥
⎦
40000
60000
80000
100000
120000
140000
160000
180000
200000
0
20000
220000
jan fev mar abr mai jun jul ago set out nov dez
periodo
combbenedito
8/4/2019 combustivel 040811
http://slidepdf.com/reader/full/combustivel-040811 34/54
≔boxcomb_benedito boxplot combbenedito
25%
50%
75%
min
max
outliers...
≔label “a”
=boxcomb_benedito
153016.50160597.00188018.00149777.00203390.00
⎡⎢⎢⎢⎢⎣
⎤⎥⎥⎥⎥⎦
160500
166000
171500
177000
182500
188000
193500
199000
149500
155000
204500
a
label
Tboxcomb_benedito
≔mediabenedito mean combbenedito ≔desvpadbenedito Stdev combbenedito
≔medianabenedito median combbenedito
≔estat_descbenedito
mediabenedito
medianabenedito
desvpadbenedito
⎡⎢⎢⎣
⎤⎥⎥⎦
=estat_descbenedito
168502.83160597.00
18929.75
⎡⎢
⎣
⎤⎥
⎦
8/4/2019 combustivel 040811
http://slidepdf.com/reader/full/combustivel-040811 35/54
3. Consumo de combustível (litros por quilômetro)
≔cons_combbenedito ―――combbenedito
kmbenedito
≔rendbenedito ―――――1
cons_combbenedito
=cons_combbenedito
0.38950.45340.40090.39560.32860.33340.3391
0.34020.35530.32260.31910.3230
⎡⎢⎢⎢⎢⎢⎢⎢
⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥⎥⎥
⎥⎥⎥⎥⎥
⎦
=rendbenedito
2.56722.20542.49462.52803.04282.99922.9488
2.93942.81423.09963.13423.0964
⎡⎢⎢⎢⎢⎢⎢⎢
⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥⎥⎥
⎥⎥⎥⎥⎥
⎦
≔periodo
“jan”“fev”“mar”“abr”“mai”“jun”“jul”
“ago”“set”“out”“nov”“dez”
⎡⎢⎢⎢⎢⎢⎢⎢
⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥⎥⎥
⎥⎥⎥⎥⎥
⎦
0.3050
0.3250
0.3450
0.3650
0.3850
0.4050
0.4250
0.4450
0.2650
0.2850
0.4650
jan fev mar abr mai jun jul ago set out nov dez
periodo
cons_combbenedito
8/4/2019 combustivel 040811
http://slidepdf.com/reader/full/combustivel-040811 36/54
≔boxcons_comb_benedito boxplot cons_combbenedito
25%
50%
75%
min
max
outliers...
≔label “a”
=boxcons_comb_benedito
0.3244
0.33970.39410.31910.4534
⎡
⎢⎢⎢⎢⎣
⎤
⎥⎥⎥⎥⎦
0.3450
0.3600
0.3750
0.3900
0.4050
0.4200
0.4350
0.4500
0.3150
0.3300
0.4650
a
label
Tboxcons_comb_benedito
≔mediabenedito mean cons_combbenedito ≔desvpadbenedito Stdev cons_combbenedito
≔medianabenedito median cons_combbenedito
≔estat_descbenedito
mediabenedito
medianabenedito
desvpadbenedito
⎡⎢⎢⎣
⎤⎥⎥⎦
=estat_descbenedito
0.35840.33970.0421
⎡⎢
⎣
⎤⎥
⎦
8/4/2019 combustivel 040811
http://slidepdf.com/reader/full/combustivel-040811 37/54
Empresa Anfrolanda
1. Percurso mensal (km)
≔dados_km READEXCEL ,“.\Dados Operacionais.xlsx” “km_empresa!D2:O15”
≔kmanfrolanda
T
submatrix ,,,,dados_km 9 9 0 11
=kmanfrolanda
86688.0073079.0078933.0080830.0083754.0073675.0085857.00
84731.0081871.0084409.0080854.0085282.00
⎡⎢⎢⎢⎢⎢⎢⎢
⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥⎥⎥
⎥⎥⎥⎥⎥
⎦
≔periodo
“jan”“fev”“mar”“abr”“mai”“jun”“jul”
“ago”“set”“out”“nov”“dez”
⎡⎢⎢⎢⎢⎢⎢⎢
⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥⎥⎥
⎥⎥⎥⎥⎥
⎦
17000
25500
34000
42500
51000
59500
68000
76500
85000
0
8500
93500
jan fev mar abr mai jun jul ago set out nov dez
periodo
kmanfrolanda
8/4/2019 combustivel 040811
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≔boxkm_anfrolanda boxplot kmanfrolanda
25%
50%
75%
min
max
outliers...
≔label “a”
=boxkm_anfrolanda
79407.25
82812.585144.257307986688
⎡
⎢⎢⎢⎢⎣
⎤
⎥⎥⎥⎥⎦
76000
77500
79000
80500
82000
83500
85000
86500
73000
74500
88000
a
label
Tboxkm_anfrolanda
≔mediaanfrolanda mean kmanfrolanda ≔desvpadanfrolanda Stdev kmanfrolanda
≔medianaanfrolanda median kmanfrolanda
≔estat_descanfrolanda
mediaanfrolanda
medianaanfrolanda
desvpadanfrolanda
⎡⎢⎢⎣
⎤⎥⎥⎦
=estat_descanfrolanda
81663.5882812.50
4508.58
⎡⎢
⎣
⎤⎥
⎦
8/4/2019 combustivel 040811
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2. Consumo de combustível (litros por mês)
≔dados_comb READEXCEL ,“.\Dados Operacionais.xlsx” “combustivel!D2:O15”
≔combanfrolanda
T
submatrix ,,,,dados_comb 9 9 0 11
=combanfrolanda
56389.0050932.0055486.0054570.0056389.0054570.0056389.0056389.0054570.0056389.0054570.0056389.00
⎡⎢⎢⎢⎢⎢⎢
⎢⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥⎥
⎥⎥⎥⎥⎥⎥
⎦
≔periodo
“jan”“fev”“mar”“abr”“mai”“jun”“jul”“ago”“set”“out”“nov”“dez”
⎡⎢⎢⎢⎢⎢⎢
⎢⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥⎥
⎥⎥⎥⎥⎥⎥
⎦
11000
16500
22000
27500
33000
38500
44000
49500
55000
0
5500
60500
jan fev mar abr mai jun jul ago set out nov dez
periodo
combanfrolanda
8/4/2019 combustivel 040811
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≔boxcomb_anfrolanda boxplot combanfrolanda
25%
50%
75%
min
max
outliers...
≔label “a”
=boxcomb_anfrolanda
54570.0055937.5056389.0054570.0056389.0050932.00
⎡⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥
⎦
52000
52550
53100
53650
54200
54750
55300
55850
50900
51450
56400
a
label
Tboxcomb_anfrolanda
≔mediaanfrolanda mean combanfrolanda ≔desvpadanfrolanda Stdev combanfrolanda
≔medianaanfrolanda median combanfrolanda
≔estat_descanfrolanda
mediaanfrolanda
medianaanfrolanda
desvpadanfrolanda
⎡⎢⎢⎣
⎤⎥⎥⎦
=estat_descanfrolanda
55252.6755937.50
1604.94
⎡⎢
⎣
⎤⎥
⎦
8/4/2019 combustivel 040811
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3. Consumo de combustível (litros por quilômetro)
≔cons_combanfrolanda ――――combanfrolanda
kmanfrolanda
≔rendanfrolanda ――――――1
cons_combanfrolanda
=cons_combanfrolanda
0.65050.69690.70300.67510.67330.74070.6568
0.66550.66650.66800.67490.6612
⎡⎢⎢⎢⎢⎢⎢⎢
⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥⎥⎥
⎥⎥⎥⎥⎥
⎦
=rendanfrolanda
1.53731.43481.42261.48121.48531.35011.5226
1.50261.50031.49691.48171.5124
⎡⎢⎢⎢⎢⎢⎢⎢
⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥⎥⎥
⎥⎥⎥⎥⎥
⎦
≔periodo
“jan”“fev”“mar”“abr”“mai”“jun”“jul”
“ago”“set”“out”“nov”“dez”
⎡⎢⎢⎢⎢⎢⎢⎢
⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥⎥⎥
⎥⎥⎥⎥⎥
⎦
0.3650
0.4150
0.4650
0.5150
0.5650
0.6150
0.6650
0.7150
0.2650
0.3150
0.7650
jan fev mar abr mai jun jul ago set out nov dez
periodo
cons_combanfrolanda
8/4/2019 combustivel 040811
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≔boxcons_comb_anfrolanda boxplot cons_combanfrolanda
25%
50%
75%
min
max
outliers...
≔label “a”
=boxcons_comb_anfrolanda
0.6623
0.67070.69150.65050.70300.7407
⎡
⎢⎢⎢⎢⎢
⎣
⎤
⎥⎥⎥⎥⎥
⎦
0.6680
0.6770
0.6860
0.6950
0.7040
0.7130
0.7220
0.7310
0.7400
0.6500
0.6590
0.7490
a
label
Tboxcons_comb_anfrolanda
≔mediaanfrolanda mean cons_combanfrolanda
≔desvpadanfrolanda Stdev cons_combanfrolanda
≔medianaanfrolanda median cons_combanfrolanda
≔estat_descanfrolanda
mediaanfrolanda
medianaanfrolanda
desvpadanfrolanda
⎡⎢⎢⎣
⎤⎥⎥⎦
=estat_descanfrolanda
0.67770.67070.0249
⎡⎢
⎣
⎤⎥
⎦
8/4/2019 combustivel 040811
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Empresa MS TURISMO
1. Percurso mensal (km)
≔dados_km READEXCEL ,“.\Dados Operacionais.xlsx” “km_empresa!D2:O15”
≔km MS
T
submatrix ,,,,dados_km 5 5 0 11
=km MS
24750.0022200.0024500.0023900.0024300.0023800.0024800.0024500.0023900.0024350.0023800.0024900.00
⎡⎢⎢⎢⎢⎢⎢
⎢⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥⎥
⎥⎥⎥⎥⎥⎥
⎦
≔periodo
“jan”“fev”“mar”“abr”“mai”“jun”“jul”“ago”“set”“out”“nov”“dez”
⎡⎢⎢⎢⎢⎢⎢
⎢⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥⎥
⎥⎥⎥⎥⎥⎥
⎦
5000
7500
10000
12500
15000
17500
20000
22500
0
2500
25000
jan fev mar abr mai jun jul ago set out nov dez
periodo
km MS
8/4/2019 combustivel 040811
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≔boxkm_MS boxplot km MS
25%
50%
75%
min
max
outliers...
≔label “a”
=boxkm_MS
238252432524687.5238002490022200
⎡⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥
⎦
227002295023200234502370023950242002445024700
2220022450
24950
a
label
Tboxkm_MS
≔media MS mean km MS ≔desvpad MS Stdev km MS
≔mediana MS median km MS
≔estat_desc MS
media MS
mediana MS
desvpad MS
⎡⎢⎢⎣
⎤⎥⎥⎦
=estat_desc MS
24141.6724325.00
727.65
⎡⎢
⎣
⎤⎥
⎦
8/4/2019 combustivel 040811
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2. Consumo de combustível (litros por mês)
≔dados_comb READEXCEL ,“.\Dados Operacionais.xlsx” “combustivel!D2:O15”
≔comb MS
T
submatrix ,,,,dados_comb 5 5 0 11
=comb MS
6800.006100.006900.006600.006700.006300.006800.006800.006300.006800.006600.006900.00
⎡⎢⎢⎢⎢⎢⎢
⎢⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥⎥
⎥⎥⎥⎥⎥⎥
⎦
≔periodo
“jan”“fev”“mar”“abr”“mai”“jun”“jul”“ago”“set”“out”“nov”“dez”
⎡⎢⎢⎢⎢⎢⎢
⎢⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥⎥
⎥⎥⎥⎥⎥⎥
⎦
1400
2100
2800
3500
4200
4900
5600
6300
0
700
7000
jan fev mar abr mai jun jul ago set out nov dez
periodo
comb MS
8/4/2019 combustivel 040811
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≔boxcomb_MS boxplot comb MS
25%
50%
75%
min
max
outliers...
≔label “a”
=boxcomb_MS
6375.006750.006800.006100.006900.00
⎡⎢⎢⎢⎢⎣
⎤⎥⎥⎥⎥⎦
6260
6340
6420
6500
6580
6660
6740
6820
6100
6180
6900
a
label
Tboxcomb_MS
≔media MS mean comb MS ≔desvpad MS Stdev comb MS
≔mediana MS median comb MS
≔estat_desc MS
media MS
mediana MS
desvpad MS
⎡⎢⎢⎣
⎤⎥⎥⎦
=estat_desc MS
6633.336750.00
264.00
⎡⎢
⎣
⎤⎥
⎦
8/4/2019 combustivel 040811
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3. Consumo de combustível (litros por quilômetro)
≔cons_comb MS ――comb MS
km MS
≔rend MS ―――1
cons_comb MS
=cons_comb MS
0.27470.27480.28160.27620.27570.26470.27420.27760.26360.27930.27730.2771
⎡⎢⎢⎢⎢⎢⎢
⎢⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥⎥
⎥⎥⎥⎥⎥⎥
⎦
=rend MS
3.63973.63933.55073.62123.62693.77783.64713.60293.79373.58093.60613.6087
⎡⎢⎢⎢⎢⎢⎢
⎢⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥⎥
⎥⎥⎥⎥⎥⎥
⎦
≔periodo
“jan”“fev”“mar”“abr”“mai”“jun”“jul”“ago”“set”“out”“nov”“dez”
⎡⎢⎢⎢⎢⎢⎢
⎢⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥⎥
⎥⎥⎥⎥⎥⎥
⎦
0.2680
0.2695
0.2710
0.2725
0.2740
0.2755
0.2770
0.2785
0.2800
0.2815
0.2650
0.2665
0.2830
jan fev mar abr mai jun jul ago set out nov dez
periodo
cons_comb MS
8/4/2019 combustivel 040811
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≔boxcons_comb_MS boxplot cons_comb MS
25%
50%
75%
min
max
outliers...
≔label “a”
=boxcons_comb_MS
0.2743
0.27590.27750.27420.28160.26360.2647
⎡
⎢⎢⎢⎢⎢⎢
⎣
⎤
⎥⎥⎥⎥⎥⎥
⎦
0.2675
0.2695
0.2715
0.2735
0.2755
0.2775
0.2795
0.2815
0.2635
0.2655
0.2835
a
label
Tboxcons_comb_MS
≔media MS mean cons_comb MS ≔desvpad MS Stdev cons_comb MS
≔mediana MS median cons_comb MS
≔estat_desc MS
media MS
mediana MS
desvpad MS
⎡⎢⎢⎣
⎤⎥⎥⎦
=estat_desc MS
0.27470.27590.0054
⎡⎢
⎣
⎤⎥
⎦
8/4/2019 combustivel 040811
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Resumo dos resultados e análise individual - Caracterização
Observa-se pela análise individual que não existem muitos outliers estatísticos dentro dos
dados informados. Os desvios padrões também são, na sua grande maioria, muito baixosindicando uma uniformidade na informação de consumo de combustível (l/km) ao longodos 12 meses de 2010. Dessa forma considerou-se as médias de consumo mensal decada empresa são representativas dos dados informados.
=estat_descvitoria
0.36010.36100.0014
⎡⎢
⎣
⎤⎥
⎦
=estat_descviametro
0.37080.37290.0090
⎡⎢
⎣
⎤⎥
⎦
=estat_descsp
0.34930.34930.0078
⎡⎢
⎣
⎤⎥
⎦
=estat_descuniao0.22220.22220.0001
⎡⎢
⎣
⎤⎥
⎦
=estat_desc fretcar0.36350.36150.0158
⎡⎢
⎣
⎤⎥
⎦
=estat_descbenedito0.35840.33970.0421
⎡⎢
⎣
⎤⎥
⎦
=estat_descanfrolanda
0.67770.67070.0249
⎡⎢
⎣
⎤⎥
⎦
=estat_desc MS
0.27470.27590.0054
⎡⎢
⎣
⎤⎥
⎦
A partir das médias de consumo de cada transportadora obten-se uma amostra para fins
de determinar um índice de consumo para fins de caracterizar o sistema. Salienta-se quepara determinar o coeficiente a ser usado na revisão é necessário considerar que as"empresas" apresentam participação diferente no mercado.
=≔cons_amostra
mediavitoria
mediaviametro
mediasp
mediauniao
media fretcar
mediabenedito
mediaanfrolandamedia MS
⎡⎢⎢⎢⎢⎢⎢⎢⎢
⎢⎣
⎤⎥⎥⎥⎥⎥⎥⎥⎥
⎥⎦
0.3601010.3707830.3492790.2221860.3635490.3583970.677704
0.27473
⎡⎢⎢⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥⎥⎥
⎦
=≔rend ――――1
cons_amostra
2.77702.69702.86304.50072.75072.79021.4756
3.6399
⎡⎢⎢⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥⎥⎥
⎦
25%
50%
75%
min
max
outliers...
=≔boxcomb boxplot cons_amostra
0.2933670.3592490.3689740.2221860.370783
0.677704
⎡⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥
⎦≔label “a”
8/4/2019 combustivel 040811
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0.3100
0.3550
0.4000
0.4450
0.4900
0.5350
0.5800
0.6250
0.6700
0.2200
0.2650
0.7150
a
label
Tboxcomb
Observando-se a amostra de consumo de combustível das transportadoras por meio deum boxplot verifica-se a existência de 1 outlier: Empresa Anfrolanda com um consumo de0,677704 litros/km (aprox. 1,5 km/l). Entretanto, tecnicamente alem do resultadoinconsistente da Anfrolanda observa-se também como inconsistente o resultado daEmpresa União. Um denota um consumo muito abaixo do esperado. Enquanto que o
outro exatamente o contrário. Eliminando-se as 2 observações, obtem-se novos valores egráficos a seguir.
=≔cons_amostra
mediavitoria
mediaviametro
mediasp
media fretcar
mediabenedito
media MS
⎡⎢⎢⎢⎢⎢⎢⎣
⎤⎥⎥⎥⎥⎥⎥⎦
0.3601010.3707830.3492790.3635490.3583970.27473
⎡⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥
⎦
=≔rend ―――1
cons_amostra
2.77702.69702.86302.75072.79023.6399
⎡⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥
⎦
25%
50%
75%
min
max
outliers...
=≔boxcomb boxplot cons_amostra
0.3306420.3592490.3653570.3492790.3707830.27473
⎡⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥
⎦
≔label “a”
8/4/2019 combustivel 040811
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0.2935
0.3030
0.3125
0.3220
0.3315
0.3410
0.3505
0.3600
0.3695
0.2745
0.2840
0.3790
a
label
Tboxcomb
Desta vez se observa apenas 1 outlier, MS turismo. Retirando da amostra, teremos:
=≔cons_amostra
mediavitoria
mediaviametro
mediasp
media fretcar
mediabenedito
⎡⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥
⎦
0.3601010.3707830.349279
0.3635490.358397
⎡⎢⎢
⎢⎢⎣
⎤⎥⎥
⎥⎥⎦
=≔rend ――――1
cons_amostra
2.77702.69702.8630
2.75072.7902
⎡⎢⎢
⎢⎢⎣
⎤⎥⎥
⎥⎥⎦
25%
50%
75%
min
max
outliers...
=≔boxcomb boxplot cons_amostra
0.3538380.3601010.3671660.3492790.370783
⎡⎢⎢⎢⎢⎣
⎤⎥⎥⎥⎥⎦
≔label “a”
8/4/2019 combustivel 040811
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0.3530
0.3550
0.3570
0.3590
0.3610
0.3630
0.3650
0.3670
0.3690
0.3490
0.3510
0.3710
a
label
Tboxcomb
Desta vez não se observa outliers.
≔mediacomb mean cons_amostra ≔desvpadcomb Stdev cons_amostra
≔medianacomb median cons_amostra
≔mediarend mean ⎛⎝――――1cons_amostra
⎞⎠
≔desvpadrend Stdev ⎛⎝――――1cons_amostra
⎞⎠
≔medianarend median⎛
⎝――――
1
cons_amostra
⎞
⎠
≔estat_desccomb
mediacomb
medianacomb
desvpadcomb
⎡⎢⎢⎣
⎤⎥⎥⎦
≔estat_descrend
mediarend
medianarend
desvpadrend
⎡⎢⎢⎣
⎤⎥⎥⎦
=estat_desccomb
0.3604220.3601010.007834
⎡⎢
⎣
⎤⎥
⎦
=estat_descrend
2.7755812.7769980.060541
⎡⎢
⎣
⎤⎥
⎦
≔label “Vitoria” “Viametro” “São Paulo” “Fretcar” “São Benedito”
=mediacomb 0.360422 litros/km
8/4/2019 combustivel 040811
http://slidepdf.com/reader/full/combustivel-040811 53/54
0.6
0.9
1.2
1.5
1.8
2.1
2.4
2.7
0
0.3
3
Vitoria Viametro São Paulo Fretcar São Benedito
Tlabel
rend
Considerando não haver outliers, e o fato do desvio padrão ser muito pequeno, entende-se que essa amostra de empresas é adequada para determinação do coeficiente decombustível.
DETERMI NAÇÃO DO COEFICIENTE DE COMBUSTÍVEL
Amostra após retirada dos outliers
1. Percurso total (km)
≔kmamostra ++++kmvitoria kmviametro kmsp km fretcar kmbenedito
=kmamostra
257113723221162608693247855225918212277353261935026057802499964263054625488682725035
⎡⎢
⎢⎢⎢⎢⎢⎢⎢⎢⎢⎢⎢
⎣
⎤⎥
⎥⎥⎥⎥⎥⎥⎥⎥⎥⎥⎥
⎦
≔kmtotal ∑ kmamostra =kmtotal 30479215
8/4/2019 combustivel 040811
http://slidepdf.com/reader/full/combustivel-040811 54/54
2. Combustível (l)
≔combamostra ++++combvitoria combviametro combsp comb fretcar combbenedito
=combamostra
946378.7890039.14977173.04925404.84932289.22822840.9932497.9939050.7
905302.7922573.1889478.7962042.9
⎡⎢⎢⎢⎢⎢⎢⎢⎢⎢⎢⎢⎢
⎣
⎤⎥⎥⎥⎥⎥⎥⎥⎥⎥⎥⎥⎥
⎦
=≔combtotal ∑combamostra 11045071.84
3. Consumo de Combustível (l/km)
≔cons_combtotal ――combtotal
kmtotal
=cons_combtotal 0.3624
=≔rendimento ―――1
cons_combtotal
2.7595