title: Is there way to change the labeling name in ggplotly
body: <p>I have a challenge solving the below issue. Request experts here to help me in this. Before I put the proper reprex, let me explain the problem here:</p>
  
  <pre><code>df
     sd   x      y        x1         y1
  1  1    12    1019    0.3867382  1.3484106
  2  2    20    1016    1.7618076  0.8860984
  3  3    7     1006   -0.4726801 -0.6549423
  4  4    3     1009   -1.1602147 -0.1926301
  </code></pre>
  
  <p>Well, I have to plot x and y but their scales are different. So what I have done is I have normalized the data and came up with x1 and y1. Normalizing formula is
  <code>((x - mean(x)) / sd(x)</code></p>
  
  <p>Now I need to plot <code>x1</code> and <code>y1</code>. So have made some data wrangling and below is the reprex of that. I am getting the output, but the main issue here is that since <code>x1</code> and <code>y1</code> are getting plotted, when I move the cursor over it shows <code>x1</code> and <code>y1</code> values, which I do not want. Even though <code>x1</code> and <code>y1</code> are plotted, I need to have the actual values being shown (<code>x</code> and <code>y</code> values). Is there a way to achieve this?</p>
  
  <pre><code>library(ggplot2)
  library(plotly)
  require(reshape)
  df &lt;- structure(list(sd = c(1, 2, 3, 4), x = c(12, 20, 7, 3), 
                       y = c(1019, 1016, 1006, 1009), 
                       x1 = c(0.386738249968166, 1.76180758318831, -0.472680083294425, -1.1602147499045), 
                       y1 = c(1.34841060188091, 0.886098395521742, -0.654942292342157, -0.192630085982987)), 
                  row.names = c(NA, -4L), class = "data.frame")   
  
  df$x &lt;- NULL
  df$y &lt;- NULL
  df1 &lt;- melt(df,id=c("sd"))
  ggplotly(ggplot(data = df1, aes(x = sd, y = value, color = variable))
            + geom_line(size=0.2))
  </code></pre>