DBTB INT Akash Mukherjee

on YouTube ↗04m

" summary

Claim: data is domain-agnostic and touches every industry, so visualization choices must adapt as data volume and tech change. Recommends keeping an open mind about visualization, learning by building small side projects in a familiar domain, and using public sources like IMDb for movie data to practice. Practical test: pick a dataset, make a few visualizations, iterate until one communicates a surprising or actionable insight—then it counts as work that succeeded.

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