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Introduction to Data Visualization with Plotly in Python

Beginner

4.5+

Updated 12/2024

Create interactive data visualizations in Python using Plotly.

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PythonData Visualization4 hours14 videos45 exercises3,550 XP14,761Statement of Accomplishment

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Course Description

Producing high-quality, interactive visualizations historically required complex code, extensive time, and effort. Not anymore. In this course, you’ll learn how to create publication-quality graphs harnessing the power of JavaScript, without leaving the comfort of the Python programming language we all love. You’ll create, style, and customize a variety of stunning, interactive graphs—using datasets ranging from stock prices to basketball team stats, and even penguin beak sizes! Using the Plotly charting library, you’ll also learn to customize interactivity such as hover information, range sliders, custom buttons, and even drop-downs that reactively change the visualization. Are you ready to level-up your data visualization skills?

Prerequisites

Intermediate Python

1

Introduction to Plotly

Plotly and the Plotly Figure

Playing with a Plotly Figure

Fixing a Plotly figure

Univariate visualizations

Student scores bar graph

Box plot of company revenues

Histogram of company revenues

Customizing color

What color did we use?

Coloring student scores bar graph

Side-by-side revenue box plots with color

Revenue histogram with stacked bars

2

Customizing Plots

Bivariate visualizations

Building a scatterplot with specific colors

Bird feature correlations

Customizing hover information and legends

GDP vs. life expectancy legend

Enhancing our GDP plot

Adding annotations

Annotating your savings

A happier histogram plot

Editing plot axes

The log-scale parameter

Analyzing basketball stats

Styling scientific research

3

Advanced Customization

Revenue box subplots

Revenue histogram subplots

Layering multiple plots

Species on different islands

Monthly temperatures layered

Time buttons

A time button dictionary

Time buttons on our rainfall graph

Finance line chart with custom time buttons

4

Advanced Interactivity

Custom buttons

Rainfall plot type buttons

Changing annotations with buttons

Growth locations dropdown

Housing prices dropdown

Hiding a slider trace

Rainfall by season slider

What you learned

Introduction to Data Visualization with Plotly in Python

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*4.5

from 14 reviews

64%

29%

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7%

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Most recent
Top reviews

Rogelio M.

6 months

Great course!

José C.

about 1 year

Very interesting!

Colin F.

over 1 year

The lessons are clearly structured while demanding you learn a wide range of coding skills. The activities can be challenging but the outcome is a rapid increase in knowledge.

Ovanes P.

over 1 year

I am extremely pleased that I went through this plotly course!!! Will certainly continue to explore aforementioned library capabilities and would like to see more courses in Data Camp regarding this wonderful Plotly. Thank you DataCamp !!!

William A.

almost 2 years

Great introductory course

"Great course!"

Rogelio M.

"Very interesting!"

José C.

"The lessons are clearly structured while demanding you learn a wide range of coding skills. The activities can be challenging but the outcome is a rapid increase in knowledge."

Colin F.

FAQs

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