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Introduction to Data Visualization with Julia

Master data visualization in Julia. Learn how to make stunning plots while understanding when and how to use them.

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4 hours15 videos58 exercises

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Course Description

Learn to create stunning data visualizations with Julia, the fast and powerful programming language for data science. This course starts with the basics of data visualization and gradually introduces advanced techniques. By the end, you'll have the skills to create impactful visualizations and confidently share your insights with others.

Tell stories with data

Begin your exploration by grasping the core concepts of data visualization, focusing on learning when and how to construct Julia's different visualizations, such as line plots, scatter plots, histograms, box plots, and violin plots.

Bring your plotting skills to the next level

As you delve deeper into the course, you'll uncover advanced techniques for enhancing your visualizations, such as combining multiple plots, customizing every aspect of your visualizations, creating plotting recipes, and plotting data in DataFrames. By the end of this course, you'll be equipped with a versatile skill set in data visualization with Julia, enabling you to create stunning visualizations.
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In the following Tracks

Julia Fundamentals

Go To Track
  1. 1

    First steps with Plots.jl

    Free

    Unlock the power of Julia in this chapter and learn how to create stunning, professional-quality data visualizations using the Plots.jl package.

    Play Chapter Now
    Visualizing data
    50 xp
    Why should I plot?
    100 xp
    Should I plot?
    100 xp
    Interpreting a plot
    50 xp
    Getting started with Plots.jl
    50 xp
    Installing Plots.jl
    50 xp
    Price goes up
    100 xp
    Price changes
    100 xp
    Trading volume
    100 xp
    Plotting multiple variables
    50 xp
    Multiple line plots
    100 xp
    Correlated ETF funds
    100 xp
    Multiple line plots!
    100 xp
  2. 2

    Histograms, time series and more

    Expand your Julia data visualization skills as you delve into advanced plot types, including histograms, bar charts, time series plots, and box and violin plots.

    Play Chapter Now
    Visualizing distributions
    50 xp
    Potato prices
    100 xp
    Rajasthan normalized
    100 xp
    Instant and powdered coffee
    100 xp
    Stacking states
    100 xp
    Dropping Bars
    50 xp
    Bar chart or histogram
    100 xp
    Price deviations
    100 xp
    Saree prices
    100 xp
    Visualizing time series
    50 xp
    Them apples
    100 xp
    (Super)fine rice
    100 xp
    Boxes and violins
    50 xp
    Boxing states
    100 xp
    Price distributions
    100 xp
    Tomato seasons
    100 xp
  3. 3

    Customizing Julia Plots

    Master the art of data visualization customization! Discover how to wield themes, manipulate plot attributes, utilize color palettes, arrange multiple plots in grids with layouts, and create your series recipes. With these skills, you'll have the power to craft stunning and highly tailored visualizations to convey impactful insights.

    Play Chapter Now
    Customizing with themes
    50 xp
    Previewing themes
    50 xp
    Saving to file
    50 xp
    Theme showdown
    100 xp
    Plot Attributes and Color Palettes
    50 xp
    Pump it up
    100 xp
    Music effects on depression
    100 xp
    Self-reported conditions
    100 xp
    Efficient visualizations with layouts
    50 xp
    Composers mental health
    100 xp
    Streaming while working
    100 xp
    Favorite genres
    100 xp
    Series Recipes
    50 xp
    Series recipe notation
    100 xp
    Spotify as therapy
    100 xp
    Log scatter recipe
    100 xp
  4. 4

    Plotting Data in DataFrames

    Learn to visualize data in DataFrames, using data manipulation tools for these data structures. Delve into multi-dimensional views and grid-based layouts for more effective data representation. Elevate your data storytelling and unlock new insights in your datasets!

    Play Chapter Now
    Plotting data in DataFrames
    50 xp
    Upcharging older smokers
    100 xp
    Upcharging heavier smokers
    100 xp
    BMI versus age
    100 xp
    Plotting in More Dimensions
    50 xp
    Slicing by region
    100 xp
    Aging and having kids
    100 xp
    Multiple plots from DataFrames
    50 xp
    Correlation matrix plot
    50 xp
    BMI per region
    100 xp
    Smokers by age
    100 xp
    Region premiums
    100 xp
    Wrap-up
    50 xp
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In the following Tracks

Julia Fundamentals

Go To Track

datasets

fundsfoodcommoditiesstreaminginsurance

collaborators

Collaborator's avatar
George Boorman
Collaborator's avatar
Arne Warnke
Collaborator's avatar
Katerina Zahradova

prerequisites

Data Manipulation in Julia
Gustavo Vieira Sune HeadshotGustavo Vieira Sune

Science enthusiast from academia, now analyzing weather data.

Gustavo has a deep love for science and enjoys solving challenging problems. He spent several years as a physicist in academia before shifting into a role where he analyzes weather data. These days, he is drowned in data on a daily basis.
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