Asheeta Khanna's profile

100 street foods from India

This project explores the transformation of raw data, into comprehensible information. The task was to select 100 data points that fit under a certain category and visually represent 7 meta data points, all into a poster. For my project, I selected 100 Indian street foods. I wanted to explore my data using the following 7 meta data points: Influence of street food, flavor, main ingredient, utensil used to eat, vegetarian or non vegetarian, state origin, and season it is mostly eaten in. 

I thought the external influence was the most interesting which is why it is the first thing that pops out through the use of a colored block. I chose to represent my data through a circle graph since it made sense in the context of food and somewhat resembles a plate. The data is also far easier to extrapolate since you can move outwards to inwards or vice versa when reading the graph. The color scheme is color picked through several images of Indian food to form a color scheme that is cohesive but distinctive individually. A key at the bottom is used to help the audience quickly identify information within the graph. A summary of the most interesting data is also presented in the bottom right. 
Here is an example of one of the data points: Atho. Using the key we know that Atho is influenced from East Asia, is savory, made out of noodles, eaten with a fork, is vegetarian and originates from the state of Tamil Nadu. 
100 street foods from India
Published:

100 street foods from India

A visual exploration of Indian Street Food

Published: