This chapter will introduce you to basic R time series visualization tools.

Refresher on xts and the plot() function

plot() function quiz

plot() function - basic parameters

plot() function - basic parameters (2)

Control graphic parameters

Graphic parameters quiz

Other useful visualizing functions

Adding an extra series to an existing chart

Highlighting events in a time series

Highlighting a specific period in a time series

A fancy stock chart

A fancy stock chart (2)

R Time Series Visualization Tools

Univariate plots are designed to learn as much as possible about the distribution, central tendency and spread of the data at hand. In this chapter you will be presented with some visual tools used to diagnose univariate times series.

Univariate time series analysis

Representing a univariate time series

Other visualization tools

Histogram of returns

Box and whisker plot

Autocorrelation

q-q plot

How to use everything we learned so far?

A comprehensive time series diagnostic

A comprehensive time series diagnostic (2)

Time Series quiz

Stock quiz

Univariate Time Series

What to do if you have to deal with multivariate time series? In this chapter, you will learn how to identify patterns in the distribution, central tendency and spread over pairs or groups of data.

Dealing with higher dimensions

Two time series grouped or stacked

Visualizing bivariate relationships

Multivariate time series

Correlation matrix

Scatterplots for multiple pairs of data

Correlation plot

Higher dimension time series

Correlation matrix as heatmap

Wrap up quiz

Multivariate Time Series

Let's put everything you learned so far in practice! Imagine you already own a portfolio of stocks and you have some spare cash to invest, how can you wisely select a new stock to invest your additional cash? Analyzing the statistical properties of individual stocks vs. an existing portfolio is a good way of approaching the problem.

Presentasi studi kasus

Deskripsi portofolio saat ini

Kuis portofolio yang ada

Saham baru

Deskripsi saham baru

Deskripsi saham baru (2)

Kuis portofolio

Bandingkan portofolio lama dan baru

Perbandingan portofolio yang lebih akurat

Kuis penutup

Selamat!

Case study: Visually Selecting a Stock That Improves Your Existing Portfolio

Returns for XOM, C, MSFT, DOW, and YHOO

Existing portfolio

Stock data for GS, KO, DIS, and CAT

Daily stocks for YHOO, MSFT, C, and DOW

Daily returns for Apple

Old versus new portfolio

Seperti pepatah, “Sebuah bagan bernilai seribu kata”. Karena itu, visualisasi adalah cara paling umum dan paling kuat untuk memahami data Anda. Setelah mengikuti kursus ini, Anda akan memiliki gambaran yang sangat baik tentang kemampuan visualisasi deret waktu di R dan Anda akan dapat lebih tepat memilih model untuk analisis selanjutnya. Anda juga akan mampu menyampaikan pesan yang ingin Anda sampaikan secara efektif dan menarik.

Manipulating Time Series Data in R

Pelajari cara memvisualisasikan deret waktu di R, lalu praktikkan dengan studi kasus pemilihan saham.

Memvisualisasikan Data Deret Waktu di R

Pelajari cara memvisualisasikan data time series di R, lalu praktikkan dengan studi kasus pemilihan saham.

Analis Kuantitatif  di R

Deret Waktu  di R

Kuis penutup

Memvisualisasikan Data Deret Waktu di R

Latihan interaktif praktis