stderr

The following objects are masked from ‘package:base’:

    as.Date, as.Date.numeric




Registered S3 method overwritten by 'quantmod':
  method            from
  as.zoo.data.frame zoo 



The following objects are masked from ‘package:base’:

    date, intersect, setdiff, union




Warning message:
“USDMXN=X contains missing values. Some functions will not work if objects contain missing values in the middle of the series. Consider using na.omit(), na.approx(), na.fill(), etc to remove or replace them.”


<table class="dataframe">
<caption>A data.frame: 3 × 3</caption>
<thead>
	<tr><th scope=col>Period</th><th scope=col>Mean</th><th scope=col>Median</th></tr>
	<tr><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>
</thead>
<tbody>
	<tr><td>60 Months</td><td>19.55807</td><td>19.84769</td></tr>
	<tr><td>20 Months</td><td>17.68362</td><td>17.37945</td></tr>
	<tr><td>6 Months </td><td>17.19259</td><td>17.04773</td></tr>
</tbody>
</table>


A data.frame: 3 × 3
\begin{tabular}{lll}
 Period & Mean & Median\\
 <chr> & <dbl> & <dbl>\\
\hline
	 60 Months & 19.55807 & 19.84769\\
	 20 Months & 17.68362 & 17.37945\\
	 6 Months  & 17.19259 & 17.04773\\
\end{tabular}



A data.frame: 3 × 3

| Period &lt;chr&gt; | Mean &lt;dbl&gt; | Median &lt;dbl&gt; |
|---|---|---|
| 60 Months | 19.55807 | 19.84769 |
| 20 Months | 17.68362 | 17.37945 |
| 6 Months  | 17.19259 | 17.04773 |



  Period    Mean     Median  
1 60 Months 19.55807 19.84769
2 20 Months 17.68362 17.37945
3 6 Months  17.19259 17.04773

The following object is masked from ‘package:ggplot2’:

    last_plot




The following object is masked from ‘package:stats’:

    filter




The following object is masked from ‘package:graphics’:

    layout




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Vizly: AI-powered data analysis

USDMXN Exchange Rate Mean and Median Analysis

can you get me usdmxn median and mean for past 60 month, 20 month, and 6 months using whatever source needed

can you get all datapoints and draw me a graph

can y ou ployly that

its not showing. can you do it again