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.

Grafik interaktif dan dinamis

Manakah grafik interaktifnya?

Plot deret waktu sederhana

Scatterplot sederhana

Menambahkan estetika untuk merepresentasikan suatu variabel

Warna dan ukuran

Simbol plot

Memoles grafik Anda

Melampaui Interaktivitas Sederhana

Bagan gelembung

Banyak deret waktu

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.

Introduction to the space launches data

Launches over time

Space race timeline

State vs. private launches

Recap: Animation

Animating the space race

Animating the private space race

Recap: linked views and selector widgets

Linking for group selection

Linked brushing

Linked views for summarization

Adding a slider for time

Wrap-up

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.



Grafik interaktif dan dinamis

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