placing your order...Don't refresh or navigate away from the page.
ABC Bikes Inc. is considering launching a bike rental service in your area. As the company’s data analyst, your task is to provide decision-driving insights on bike rental trends. You’ll extract the relevant data from a publicly available dataset into a pandas data frame. Then, using Python plotting library Matplotlib, you’ll create line plots to visualize changes for bike rentals on a single day as well as over a specific time period, create a grouped bar plot to visualize a comparison of renting data for two years, create subplots with different chart types, and create a violin plot to visualize renting patterns over four seasons. When you’re done, you’ll know how to use Matplotlib to create accurate and informative 2D visualizations.
This liveProject is for readers interested in enhancing their data analysis capabilities with effective visualizations using Python’s Matplotlib library. To begin these liveProjects you’ll need to be familiar with the following:TOOLS
In this liveProject, you’ll use Matplotlib to create line, bar, and violin plots to visualize trends.
geekle is based on a wordle clone.