3D Plotting with Matplotlib you own this product

prerequisites
basic to intermediate Python 3 programming skills • familiarity with Anaconda Python • familiarity with Jupyter Notebook
skills learned
visualize on 3D scatter plot and 3D surface plot • interactive visualization
Nimrita Koul
1 week · 4-6 hours per week · BEGINNER
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ABC Bikes Inc. is considering expanding its bike rental service to a new county. Your job, as the company’s data analyst, is to determine factors that impact the demand for rental bikes in that area. You’ll extract the relevant data from a publicly available dataset into a pandas data frame. Then, using Matplotlib’s mplot3d toolkit, you’ll plot 3D graphs to simultaneously visualize more than two data features, enabling you to determine useful patterns including how temperature, time of day, and month of year impact bike rentals. When you’re finished, you’ll know how to use Matplotlib to create, customize, and rotate your 3D plots to gather useful and interesting insights.

This project is designed for learning purposes and is not a complete, production-ready application or solution.

project author

Nimrita Koul

Nimrita Koul is an assistant professor of Computer Science and Machine Learning from Bangalore, India. She holds a Phd in Computer Science with 16 years of experience in teaching Computer Science courses to University undergraduates. Nimrita is a principal investigator for three funded research projects in machine learning. She has designed and demonstrated about 20 data science and machine learning projects to more than 650 students. Nimrita has spoken at multiple international conferences and events.

prerequisites

The liveProject is for data analysts, data scientists, research scholars, students, and hobbyists who would like to enhance their data analysis skills with the ability to plot 3D charts using Matplotlib. To begin these liveProjects you’ll need to be familiar with the following:

TOOLS
  • Intermediate Python programming skills (variables, functions, loops conditional statements, basic debugging, importing modules)
  • Write and execute Python code using Jupyter Notebook
TECHNIQUES
  • Download and install Anaconda Python Distribution and Jupyter Notebook
  • Install any required Python packages using conda or pip package managers
  • Work with Jupyter Notebook

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