VIN decoding for large data

[keyur_bhakre]

...Hello all,

I'm working on a project of VIN decodation. I have samples of more than 500,000 VIN's and I want to decode its Make, Model, Year, Check digit and serial number automatically. As the data is big I'm not able to do that. I tried few combinations but was not able to do that. So far I have decodes its WMI, VDS and Companies. But the main issue is in decoding Make , Model , year and rest of the things. I have csv file with me and now want to work for further steps. I tried to install RSelenium but it was not possible to install that. Any help to decode entire thing is appreciated. My humble request to R community to help me with this issue.

Thank you in advance

[nirgrahamuk]

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.…