Trying to knit in r studio and getting this error

[johnlenord7]

Error in spread(Data_Extract_From_WDI_names, "Series Name", "2018") :
object 'Data_Extract_From_WDI_names' not found
Calls: ... withVisible -> eval_with_user_handlers -> eval -> eval -> spread
Execution halted

and Im confused on how to fix it

[andresrcs]

@johnlenord7

object 'Data_Extract_From_WDI_names' not found

When you knit an Rmd document the code gets executed in a clean environment other than the one you are currently working on so the mentioned data frame doesn't exist there. You need to include the necessary code to import the data frame into memory, in your Rmd document itself, for example, if the data frame comes from a csv file you would include something like this: your_data_frame <- read.csv("path_to_file.csv").

[johnlenord7]

it came from an excel file

[johnlenord7]

and I have this above
datw = readxl::read_excel("~/Desktop/Data_Extract_From_WDI_names.xlsx", sheet = "Data")

[andresrcs]

We don't really have enough info to help you out. Could you ask this with a minimal REPRoducible EXample (reprex)? A reprex makes it much easier for others to understand your issue and figure out how to help.

If you've never heard of a reprex before, you might want to start by reading this FAQ:

FAQ: How to do a minimal reproducible example ( reprex ) for beginners

A minimal reproducible example consists of the following items: A minimal dataset, necessary to reproduce the issue The minimal runnable code necessary to reproduce the issue, which can be run on the given dataset, and including the necessary information on the used packages. Let's quickly go over each one of these with examples: Minimal Dataset (Sample Data) You need to provide a data frame that is small enough to be (reasonably) pasted on a post, but big enough to reproduce your issue. Let's say, as an example, that you are working with the iris data frame head(iris) #> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> 1 5.1 3.5 1.4 0.…