Two Tableau Public dashboards I built during MBAN — a solo Yelp restaurant viz and a group project on global food security — written up here as the multi-dataset storytelling exercise it actually was.

Tech: Tableau Desktop · Tableau Public · calculated fields · parameter actions · dashboard actions · LODs · dual-axis maps

Profile: public.tableau.com/app/profile/chetan6138/vizzes

Datasets: Yelp Open Dataset · FAO Food Security Indicators · World Bank prosperity/GDP series

Why these two, together

When I look back at my Tableau work, the thing that makes it worth writing up isn't any one chart — it's that I was deliberately practicing multi-dataset storytelling. Two vizzes, two very different scales, same skill:

• The Yelp viz is micro. Restaurant-level reviews, cuisine categories, star distributions, neighborhood density. The kind of data a person uses to pick where to eat on Friday night.
• The Food Security viz is macro. Country-level undernourishment rates, severe food-insecurity prevalence, agricultural output, prosperity indices. The kind of data someone at FAO or the World Bank uses to allocate a billion-dollar program.

Building both back-to-back was the point. I wanted to prove to myself — and to anyone reading this portfolio — that I could zoom from a single Yelp review up to a country-level food system, and bring the same chart-design discipline to both. In every role I've held since, that's the move that matters: a good analyst can read a per-row transaction and a per-country rollup in the same afternoon, and tell a story that ties one to the other.

The questions I was asking

When I started, the questions were less clean than they are now. I had two datasets I liked and two weekends. The questions firmed up as the vizzes took shape.

For the Yelp viz:

• Which cuisines dominate in each US region — is the "Italian everywhere, Mexican in the Southwest, Thai in big cities" stereotype actually true in the data?
• How do review counts and average star ratings correlate with restaurant density? (Intuition: dense restaurant areas get more reviews per restaurant and slightly lower average ratings — competition is brutal.)
• Can a single dashboard let a user explore a city's restaurant scene without me pre-filtering the cuts for them? Meaning: parameter actions, not canned pages.

For the Food Security viz (group, MBAN coursework):

• Where do countries sit on the main food-security indices — prevalence of undernourishment (PoU), prevalence of severe food insecurity (FIES-SevFI) — and how have those moved over the last decade?
• Is there a pattern in how prosperous countries' food-security metrics correlate with their domestic agricultural output and with imports/exports?
• What's the right way to show a country-level comparison that doesn't collapse into "map with colored countries, click to see numbers"? Most food-security vizzes on the internet look identical, and almost none let you actually compare two countries side by side.