Mencari klaster

Seleksi persisten adalah cara yang sangat baik untuk menelusuri kemungkinan klaster dalam himpunan data Anda, terutama bila dipasangkan dengan gadget pemilih warna. Pada latihan ini, tugas Anda adalah menggunakan seleksi persisten, seleksi dengan hover, dan warna untuk mengeksplorasi kemungkinan klaster pada scatterplot HPI 2017 terhadap persentase kepemilikan rumah dan tingkat pekerjaan di suatu negara bagian.

plotly dan crosstalk telah dimuat untuk Anda, dan scatterplot tertaut disimpan dalam objek linked_plots.

Latihan ini merupakan bagian dari kursus

Visualisasi Data Interaktif Tingkat Menengah dengan plotly di R

Instruksi latihan

Gunakan highlight() untuk (i) mengaktifkan seleksi persistent, (ii) mengaktifkan seleksi hover, dan (iii) menambahkan widget pemilih warna.

Latihan interaktif langsung praktik

Cobalah latihan ini dengan melengkapi kode contoh ini.

# Enable persistent hover selection and a color selector 
linked_plots %>%
  ___(___ = ___, ___ = ___, ___ = ___)

Edit dan Jalankan Kode

Latihan ini merupakan bagian dari kursus

Visualisasi Data Interaktif Tingkat Menengah dengan plotly di R

SkillTag.level.intermediateSkillTag.label

4.8+

Mulai Kursus Gratis

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.

Exercise 1: Interactive and dynamic graphics Exercise 2: Which is the interactive graphic?Exercise 3: A simple time series plot Exercise 4: A simple scatterplot Exercise 5: Adding aesthetics to represent a variable Exercise 6: Color and size Exercise 7: Plotting symbols Exercise 8: Polishing your graphics Exercise 9: Moving Beyond Simple Interactivity Exercise 10: Bubble charts Exercise 11: Many time series

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.

Exercise 1: Introduction to animated graphics Exercise 2: What's the frame?Exercise 3: Why do we need ids?Exercise 4: Animating a scatterplot Exercise 5: Factors as frames Exercise 6: Polishing animations Exercise 7: Polishing your regional animation Exercise 8: Polishing your HPI animation Exercise 9: Layering in plotly Exercise 10: Adding background text Exercise 11: Plotting the baseline Exercise 12: Cumulative animations Exercise 13: How many rows?Exercise 14: Median life expectancies Exercise 15: Animating median life expectancies

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.

Exercise 1: Mengaitkan dua bagan Exercise 2: Objek sharedData Exercise 3: Menautkan scatterplot Exercise 4: grafik highlighting()Exercise 5: Menyikat grup Exercise 6: Menyoroti data deret waktu Exercise 7: Menautkan dotplot dan plot deret waktu Exercise 8: Menautkan bagan batang ke sebar Exercise 9: Strategi seleksi Exercise 10: Mencari klaster

Latihan Saat Ini

Exercise 11: Menambahkan menu dropdown Exercise 12: Membuat grafik yang lebih ciamik Exercise 13: Mengatur tampilan dengan bscols()Exercise 14: Menambahkan kotak centang Exercise 15: Menambahkan slider

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.

Exercise 1: Introduction to the space launches data Exercise 2: Launches over time Exercise 3: Space race timeline Exercise 4: State vs. private launches Exercise 5: Recap: Animation Exercise 6: Animating the space race Exercise 7: Animating the private space race Exercise 8: Recap: linked views and selector widgets Exercise 9: Linking for group selection Exercise 10: Linked brushing Exercise 11: Linked views for summarization Exercise 12: Adding a slider for time Exercise 13: Wrap-up