Trying to generate a graph of a time series

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5

That’s what I did..

#Lê a base de dados
ano1<-read.csv("os dados abaixo...",header = TRUE ,sep=";", row.names=1)

#Cria a série temporal
ano<-ts(ano1[,1],start=c(2009,1), end=c(2010,12),freq=12)

#plota a série
plot(ano,ylab='indice', xlab='ano',main='distribuiçao dos casos')

These are the data:

​##       Jan  Feb  Mar  Apr  May  Jun  Jul  Aug  Sep  Oct  Nov  Dec
## 2009  1.6  1.0  0.2  0.0 -0.2  0.1  0.9  1.4  0.8 -0.4 -0.8  0.1
## 2010  1.8  1.2  0.3 -0.1 -0.2 -0.3  1.5  1.9  1.2  0.1 -0.6 -0.5

But he plots a graph "periodic".

Ps.: It’s several years, but I wanted to learn in this 'simple' to apply in the other. ​

r rstudio time-series

2 answers

2

My suggestion would be for you to transpose the data using the t() command and then plot using the matplot() or ts.Plot command().

1

You can use a for to create the list of years, if the data is in an array, it will be populated according to the Dice

Follow a code I made in java following a loop

graphDonut = Morris.Donut({
                element: 'hero-donut', // elemento chave de referencia
                data: [// dados do grafico
        <c:forEach items="${valorList}" var="catP">

                    {label: '${catP.categoria}', value: '${catP.porcentagem}'},
        </c:forEach>
                ],
                colors: ['#8bc34a', '#ffc107', '#34495e', '#03a9f4', '#9c27b0', '#90a4ae'], //cores do grafico

                formatter: function (y) {

                    return y;
                }
                , //formatação dos números a exibir
                resize: true // redimensionavel true
            });

In it, we have a graphDonut, where we have categories and percentage, the foreach adds the categories and percentage according to an array I did in the backend. below the repeating structure

{label: '${catP.categoria}', value: '${catP.porcentagem}'},

If you need a reference code on the back, you can tell me. Even if you are not using java you can implement this with some language changes

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