DataFrame with all field as text data

[DHARMA]

I am working with a data frame where all the fields are character type. When I try to coerce some fields ( "20-25 years"......and so on), I get NAs in all the rows of that column.

Please guide me as to how I can convert text data to appropriate types.

[andresrcs]

Hi!

To help us help you, could you please prepare a reproducible example (reprex) illustrating your issue? Please have a look at this guide, to see how to create one:

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.…

[DHARMA]

I am sorry. I am new. I tried to create a "reprex". But failed.
Can you please direct me to some place where I can learn first to "reprex"

Thanks

[andresrcs]

Click on the link I gave you, that is a guide for beginners.