There are a slew of data visualization tools out there.  I've heard a lot about Tableau, but after reading through the T&C's, their free offerings make user data public, so like any good sleuth I looked for alternatives.
After playing around with multiple options, I've kinda settled on these two for now.  Both are free and use their cloud compute resources vs your local machines.


Note: Google Data Studio failed to ingest the same dataset, so it's not suggested here.

Experiment Variables:

  1. Data source: https://www.kaggle.com/datasets/ 
  2. Dataset: https://www.kaggle.com/nadintamer/top-spotify-tracks-of-2018
  3. Data Description: Top 100 songs complied by Spotify based on frequency songs streamed over the year.  This list is limited to 2018.

Image-1 and Image-2 were generated by AnswerMiner.

The best part of this tool was these images were "Auto Generated".  There were many other options available, but I selected these to compare and contrast with the other applications out there.
Status: Winner - Hands down!

Image-1

Image-2

Image-3 and Image-4 were generated by RawGraphs:

It took a few mins to create the charts, but they came out great.  There are some limitations that I ran into: Number of records and limited to charts already available.  Also, the insights need to be gleaned, but can't complain, as it's all drag 'n drop.

Image-3

Image-4

In the end, Data visualization is as much art as it's science.  Though I do believe, we're getting to a point where this will be more 'n more automated in the future.