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.

Interactive and dynamic graphics

Which is the interactive graphic?

A simple time series plot

A simple scatterplot

Adding aesthetics to represent a variable

Color and size

Plotting symbols

Polishing your graphics

Moving Beyond Simple Interactivity

Bubble charts

Many time series

Introduction and review of plotly

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.

Introduction to animated graphics

What's the frame?

Why do we need ids?

Animating a scatterplot

Factors as frames

Polishing animations

Polishing your regional animation

Polishing your HPI animation

Layering in plotly

Adding background text

Plotting the baseline

Cumulative animations

How many rows?

Median life expectancies

Animating median life expectancies

Animating 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.

Linking two charts

sharedData objects

Linking scatterplots

highlighting() charts

Brushing groups

Highlighting time series data

Linking a dotplot and a time series plot

Linking a bar chart to a scatterplot

Selection strategies

Searching for clusters

Adding dropdown menus

Making shinier charts

Arranging views with bscols()

Adding checkboxes

Adding a slider

Linking graphics

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.

Pendahuluan data peluncuran wahana antariksa

Peluncuran dari waktu ke waktu

Linimasa perlombaan antariksa

Peluncuran negara vs. swasta

Ulangan: Animasi

Menganimasikan perlombaan antariksa

Menganimasikan perlombaan antariksa swasta

Ulangan: tampilan tertaut dan widget selektor

Menautkan untuk pemilihan kelompok

Linked brushing

Tampilan tertaut untuk peringkasan

Menambahkan slider untuk waktu

Penutup

Case Study: Space launches

Economic indicators for the 50 states and Washington, D.C. from 1997 to 2017

Complete list of all orbital space launches between 1957 and 2018

Paket plotly memungkinkan pembuatan grafik interaktif dan animasi sepenuhnya di dalam R. Ini melampaui interaktivitas dasar seperti menggeser, memperbesar, dan tooltip. Dalam kursus ini, Anda akan memperluas pemahaman tentang plotly untuk membuat grafik interaktif yang dianimasikan dan saling terhubung, sehingga Anda dapat menyampaikan cerita multivariat dengan cepat dan efektif. Sepanjang perjalanan, Anda akan meninjau dasar-dasar plotly, mempelajari cara mengolah data dengan cara baru untuk memfasilitasi animasi kumulatif, dan mempelajari cara menambahkan filter ke grafik tanpa menggunakan Shiny.

Interactive Data Visualization with plotly in R

Pelajari membuat grafik animasi di R dengan plotly, olah data, animasi kumulatif, dan filter tanpa Shiny.

Visualisasi Data Interaktif Tingkat Menengah dengan plotly di R

Pelajari cara membuat grafik animasi dan tampilan terhubung sepenuhnya dalam R menggunakan plotly.



Ulangan: tampilan tertaut dan widget selektor

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