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Introduction to PlotlyFree
Enter the world of Plotly! In this first chapter, you’ll learn different ways to create plots and receive an introduction to univariate plots. You’ll then build several popular plot types, including box plots and histograms, and discover how to style them using the Plotly color options.Plotly and the Plotly Figure50 xpPlaying with a Plotly Figure50 xpFixing a Plotly figure100 xpUnivariate visualizations50 xpStudent scores bar graph100 xpBox plot of company revenues100 xpHistogram of company revenues100 xpCustomizing color50 xpWhat color did we use?50 xpColoring student scores bar graph100 xpSide-by-side revenue box plots with color100 xpRevenue histogram with stacked bars100 xp
Add to your Plotly toolkit as you explore and implement bivariate plots. Next, you’ll explore how to customize your plots to make them look amazing with annotations, hover information, legends, and custom axis titles and scales.Bivariate visualizations50 xpBuilding a scatterplot with specific colors100 xpBird feature correlations100 xpCustomizing hover information and legends50 xpGDP vs. life expectancy legend100 xpEnhancing our GDP plot100 xpAdding annotations50 xpAnnotating your savings100 xpA happier histogram plot100 xpEditing plot axes50 xpThe log-scale parameter50 xpAnalyzing basketball stats100 xpStyling scientific research100 xp
Take your Plotly graphs to the next level with more advanced customizations. Through hands-on exercises, you’ll learn how to layer multiple interactive chart types in the same plot (such as a bar chart with line chart over the top). You’ll then create time-series selectors, such as year to date (YTD), to help you zoom in and out of your line charts.Subplots50 xpRevenue box subplots100 xpRevenue histogram subplots100 xpLayering multiple plots50 xpSpecies on different islands100 xpMonthly temperatures layered100 xpTime buttons50 xpA time button dictionary50 xpTime buttons on our rainfall graph100 xpFinance line chart with custom time buttons100 xp
In this final chapter, you’ll harness Plotly’s advanced user interactivity as you learn how to create buttons, dropdowns, and sliders that change everything from graph types to annotations and much more. Take your Plotly skills to the next level and build truly interactive user experiences.
DatasetsPenguins dataRevenue dataAAPL dataWorld Bank population dataSydney temperature dataRainfall dataMonthly salesRevenue Data Extended
Alex ScrivenSee More
Data Scientist @ New South Wales Government
Alex is a Data Scientist working for the New South Wales Government in Sydney, Australia. He is also a Lecturer at the University of Technology Sydney where he teaches into several courses in their Master of Data Science & Innovation program in machine learning & deep learning. He is also a partner of a boutique data analytics firm, Madlytics and is passionate about building communities around technology & entrepreneurship.