Export Image
Export Code

Bike Rental DataViz using Vega-Lite API

StefanZhang

Last edited Sep 18, 2020
Created on Sep 12, 2020

A visualization constructed using the vega-lite-api. The data shown here comes from the Bike retal data set

Findings:
It turns out warm days has the most numbers of rental per day(Mar - Oct). During cooler days not so much(Nov-Feb). Weather also plays a big factors, during normal days(1) tends to have more rentals, but during extream weather (3) in summer times, rental number tends to drop significantly.

MIT Licensed