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title: "Using datapasta with reprex"
author: "Mara Averick"
```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
While using a built-in dataset for a reprex is ideal, sometimes you need to troubleshoot code with a bit of outside data. Meet [datapasta](, a package by [Miles McBain]( for "reducing resistance associated with copying and pasting data to and from R." Like reprex, datapasta has addin functionality, so you can select commands from the RStudio Addins and/or associate keyboard shortcuts with them for easy use.
## Scenario 1: From spreadsheet to reprex with `tribble_paste()`
It's easy to copy and paste nicely formatted data from a spreadsheet with datapasta's `tribble_paste()` functionality. I've found the simplest method to be:
1. Copy data from a source onto your clipboard.
2. Click **Paste as tribble** from the datapasta section of the RStudio Addins drop-down.
3. Be sure to assign your data frame to a name, so you can use it elsewhere in your reprex.
<div class="figure" style="height: auto">
<img src="" alt="Gif of using datapasta::tribble_paste() to get data from a spreadsheet as R code for use in a reprex" style="width: 100%;max-height: 100%" />
<p class = "caption"><code>datapasta::tribble_paste()</code></p>
While the output of `tribble_paste()` doesn't have the same level of detail it would with [`dput()`](, it works well enough for most scenarios, with the added benefit of being easy to read on the screen.
## Scenario 2: From R object to tibble with `dpasta()`
Now let’s say you have a data frame in R that you want to use in a reprex. You can use datapasta's `dpasta()` function to render your object into the same format as the result of `tribble_paste()`, above.
<div class="figure" style="height: auto">
<img src="" alt="Gif of using datapasta::dpasta() to convert an R data frame into the R code needed to define it in a reprex" style="width: 100%;max-height: 100%" />
<p class = "caption"><code>datapasta::dpasta()</code></p>
## Fin
There's more to datapasta than discussed here, so be sure to check out its [documentation]( Don't forget, when it comes to reprex, less is always more, so wield the power of datapasta wisely.