Closed Chandak-Keshav closed 1 year ago
I have added various visualizations to the two datasets "titles.csv" and credits.csv" to understand the data and it's attributes like genres, imdb ratings, and distribution of roles(actors/directors).
@Chandak-Keshav, you don't need to commit the dataset here.
however, please ensure that you add the link to the dataset you are using in your notebook. also, include more details in the notebook so that others can understand it better.
I have done the required changes. Kindly consider my PR request @AKACHI-4
I have added the spaceship titanic visualization as well @AKACHI-4 . Kindly consider my PR Thanks
Your PR looks fine, @Chandak-Keshav. I will happily merge it, but will it be okay with you if both issues are considered in one PR?
@Chandak-Keshav change the name of notebook .. it is notebook.ipnyb
Your PR looks fine, @Chandak-Keshav. I will happily merge it, but will it be okay with you if both issues are considered in one PR?
If there is a way that 2 PRs can be considered, then it will be better. But, if it's not possible, then no issues. Also, I have changed the names of the files
yah okay then... Just one last change as in current repo there is already a folder named Titanic Data Visualization
so move your titanic dv notebook there and remove last one..
yah okay then... Just one last change as in current repo there is already a folder named
Titanic Data Visualization
so move your titanic dv notebook there and remove last one..
Done
Great work, @Chandak-Keshav !
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Thank you @AKACHI-4 . Will surely let you know once it's accepted
Also, we are tracking whether our repo is working fine for Hacktoberfest '23. So, when your PR is completely accepted on your Hacktoberfest profile, don't forget to let us know. You can also share the PR badge on your socials and send us the post link.
Thank you @AKACHI-4 . Will surely let you know once it's accepted
Yeah, sure, I will open a space in discussions so you can share it there..
I have added various visualizations to the two datasets "titles.csv" and credits.csv" to understand the data and it's attributes like genres, imdb ratings, and distribution of roles(actors/directors).