What it does

This is a heatmap of a dataset which analyses the wine qualities using several different features. This was an attempt to understand what affects wine qualities, and how are different features related. I was able to understand that residual sugar does not really affect wine quality --contrary to what I used to believe.

How we built it

Used Python's numpy and pandas library to load and clean the dataframe before using Python's seaborn lib to visualize a heatmap.

Challenges we ran into

A challenge was to optmizie the vmin and vmax for the visualization to make sure the viz remains accurate and true to its representation.

Accomplishments that we're proud of

I am proud of how the plot turned out and all the information it represents, and I was able to gather from the plot.

What we learned

Learned how we can tweak the heatmap, and also what information should we supply to seaborn's heatmap class to visualize this kind of plot.

What's next for Wine Quality HeatMap

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