-
Notifications
You must be signed in to change notification settings - Fork 22
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Identify missing csv data visualization methods and implement the methods with a test case | Generic Issue - Not to be assigned #13
Comments
Hi, I would like to work on this for GSSOC. Could you give an example of what kinds of missing data visualization methods you are looking to implement? |
Hi @rubyruins, Issue #12 might contain an example of your above mention query. |
Hi, I would like to work on this for GSSOC'21, |
@SSHREYA71 , let us know if you have any method identified already, we can create and get an issue assigned to you. |
Oh, alright. Do let me know if there are any other examples you can think of. If you can create an issue for those, I can start working on them. Hopefully, we can discuss it today evening! |
please assign me this. I will make a pr by tomorrow |
At present correlation of only the numerical columns can be visualized as a heatmap using this library. I would like to add an implementation so that correlation of numerical, ordinal, and categorical columns could be visualized together(using phi k correlation). Also apart from visualizing correlations as a heat map, they could also be visualized using a graph(collection of vertices and edges),(features that are correlated will have an edge in between them). |
Description
Please Note -
This is a generic issue and multiple students can work on the same. Notify the mentors once you identify a method (as mentioned above). The mentor will create a separate issue and assign you the same.
Contribution guidelines will be updated soon. Please refer them for guidance before committing any development work.
The text was updated successfully, but these errors were encountered: