Wordcloud, representação da quantidade de cargas das variedades de uva
Heatmap do calendário de colheita da safra 2018/19.
Heatmap - Cronograma do recebimento de Cadernos de Campo na safra 2018/19.
Heatmap - Cronograma nas Filiais do recebimento de Cadernos de Campo na safra 2018/19.
## The following objects are masked from dados3:
##
## DIAS_DA_SEMANA, MES_ORDEM, N_CC, SEMANA, SEMANA_NO_MES
Teste t pareado cargas ~ kg_recebido ~ kg_previsto
Resultado:
A diferença média entre o peso da carga recebido na cooperativa na safra (kg_recebido) e o peso agendado (kg_previsto) foi de -14.01634 kg. H0: não há menos kg_recebidos do que kg_previsto
kg_recebido (kg)= 1171 + 0.7638(kg_previsto)
## ua filial carga nucleo
## Min. : 15 Min. :1.000 Min. : 1.0 FC:1079
## 1st Qu.: 7471 1st Qu.:1.000 1st Qu.: 727.8 JC:1209
## Median :12092 Median :1.000 Median :1546.0 NP: 776
## Mean :28282 Mean :3.942 Mean :1544.2 PB:1834
## 3rd Qu.:71412 3rd Qu.:7.000 3rd Qu.:2345.0 SG: 906
## Max. :73001 Max. :9.000 Max. :3299.0 SV: 316
## local kg_previsto kg_recebido
## LAGOA_BELA :3087 Min. : 0 Min. : 60
## LINHA_JACINTO:2867 1st Qu.: 3500 1st Qu.: 3370
## LIVRAMENTO : 87 Median : 4500 Median : 4560
## SAO_PEDRO : 79 Mean : 5018 Mean : 5003
## 3rd Qu.: 6000 3rd Qu.: 6370
## Max. :40000 Max. :15430
## Loading required package: carData
##
## Paired t-test
##
## data: kg_recebido and kg_previsto
## t = -0.63428, df = 6119, p-value = 0.263
## alternative hypothesis: true difference in means is less than 0
## 95 percent confidence interval:
## -Inf 22.33713
## sample estimates:
## mean of the differences
## -14.01634
##
## Paired t-test
##
## data: kg_recebido and kg_previsto
## t = -0.63428, df = 6119, p-value = 0.5259
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -57.33618 29.30350
## sample estimates:
## mean of the differences
## -14.01634
##
## Call:
## lm(formula = kg_recebido ~ kg_previsto)
##
## Residuals:
## Min 1Q Median 3Q Max
## -23804.2 -754.8 -6.3 786.0 10569.0
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.171e+03 4.615e+01 25.37 <2e-16 ***
## kg_previsto 7.638e-01 8.217e-03 92.95 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1623 on 6118 degrees of freedom
## Multiple R-squared: 0.5855, Adjusted R-squared: 0.5854
## F-statistic: 8640 on 1 and 6118 DF, p-value: < 2.2e-16
##
## Call:
## lm(formula = kg_recebido ~ kg_previsto)
##
## Residuals:
## Min 1Q Median 3Q Max
## -23804.2 -754.8 -6.3 786.0 10569.0
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.171e+03 4.615e+01 25.37 <2e-16 ***
## kg_previsto 7.638e-01 8.217e-03 92.95 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1623 on 6118 degrees of freedom
## Multiple R-squared: 0.5855, Adjusted R-squared: 0.5854
## F-statistic: 8640 on 1 and 6118 DF, p-value: < 2.2e-16