Corso
Visualizzazione interattiva dei dati intermedia con plotly in R
IntermedioLivello di competenza
Aggiornato 08/2024Inizia Il Corso Gratis
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RData Visualization4 h15 video54 Esercizi4,400 XP5,192Attestato di conseguimento
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Prova DataCamp for BusinessDescrizione del corso
Prerequisiti
Interactive Data Visualization with plotly in R1
Introduction and review of plotly
A review of key plotly commands. You will review how to create multiple plot types in plotly and how to polish your charts. Additionally, you will create static versions of the bubble and line charts that you will animate in the next chapter.
2
Animating graphics
In this chapter, you will learn how to implement keyframe animation in plotly. You will explore how to create animations, such as Hans Rosling's bubble charts, as well as cumulative animations, such as an animation of a stock's valuation over time.
3
Linking graphics
When you are exploring unexpected structure in your graphics, it's useful to have selections made on one chart update the other. For example, if you are exploring clusters observed on a scatterplot, it is useful to have the selected cluster update some chart of group membership, such as a jittered scatterplot or sets of bar charts. In this chapter, you will learn how to link your plotly charts to enable linked brushing. Along the way, you will also learn how to add dropdown menus, checkboxes, and sliders to your plotly charts, without the need for Shiny.
4
Case Study: Space launches
In the final chapter, you will use your expanded plotly toolkit to explore orbital space launches between 1957 and 2018. Along the way, you'll learn how to wrangle data to enable cumulative animations without common starting points, and hone your understanding of the crosstalk package.
Visualizzazione interattiva dei dati intermedia con plotly in R
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