Data Visualization using Plotly

Offered By
Coursera Project Network
In this Guided Project, you will:

Basics of Exploratory Data Analysis and Plotly and install it on your colab noteboo

Learn how to import necessary libraries and visualize data through simple as well as multi line plots with different markers using plotly

Visualize data through barplots, Area Chart and Stacked Area Chart using plotly

Clock1 hour
IntermediateIntermediate
CloudNo download needed
VideoSplit-screen video
Comment DotsEnglish
LaptopDesktop only

Welcome to this 1 hour long guided project on Data Visualization using Plotly. Plotly is a python graphing library which is used to make interactive, publication-quality graphs. It allows users to import, copy and paste, or stream data to be analyzed and visualized. In this project you will learn how to create beautiful visualizations using Plotly constructs. This guided project is for anyone who wants to learn data visualization or already in the data science field.

Skills you will develop

  • Python Programming
  • Plotly
  • Pandas
  • Data Visualization (DataViz)

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Learner Task 1 : You will be able to learn the basics of Exploratory Data Analysis, Plotly and install it on your colab notebook

  2. Learner Task 2 : You will be able to learn how to import necessary libraries and visualize data through simple as well as multi line plots with different markers using plotly

  3. Learner Task 3 : You will be able to visualize data through barplots, Area Chart and Stacked Area Chart using plotly

  4. Learner Task 4 : You will be able to visualize data through Pie Chart and Multilevel Piechart using plotly

  5. Learner Task 5 : You will be able to visualize data through scatter plot using plotly

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

Frequently asked questions

Frequently Asked Questions

More questions? Visit the Learner Help Center.