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Course

Introduction to Data Visualization with Julia

СреднийУровень мастерства

Обновлено 09.2023

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

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JuliaData Visualization4 ч15 videos58 Exercises4,800 XPСвидетельство о достижениях

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Описание курса

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.

Предварительные требования

Data Manipulation in Julia

1

First steps with Plots.jl

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

Visualizing data

Why should I plot?

Should I plot?

Interpreting a plot

Getting started with Plots.jl

Installing Plots.jl

Price goes up

Price changes

Trading volume

Plotting multiple variables

Multiple line plots

Correlated ETF funds

Multiple line plots!

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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.

Visualizing distributions

Potato prices

Rajasthan normalized

Instant and powdered coffee

Stacking states

Dropping Bars

Bar chart or histogram

Price deviations

Saree prices

Visualizing time series

Them apples

(Super)fine rice

Boxes and violins

Boxing states

Price distributions

Tomato seasons

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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.

Customizing with themes

Previewing themes

Saving to file

Theme showdown

Plot Attributes and Color Palettes

Music effects on depression

Self-reported conditions

Efficient visualizations with layouts

Composers mental health

Streaming while working

Favorite genres

Series Recipes

Series recipe notation

Spotify as therapy

Log scatter recipe

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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!

Plotting data in DataFrames

Upcharging older smokers

Upcharging heavier smokers

BMI versus age

Plotting in More Dimensions

Slicing by region

Aging and having kids

Multiple plots from DataFrames

Correlation matrix plot

BMI per region

Smokers by age

Region premiums

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Introduction to Data Visualization with Julia

Курс
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