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Visualizing Time Series Data in R
Learn how to visualize time series in R, then practice with a stock-picking case study.
- 4 hours
- 11 Videos
- 45 Exercises
- 6,343 Participants
- 3,550 XP
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Course Description
As the saying goes, “A chart is worth a thousand words”. This is why visualization is the most used and powerful way to get a better understanding of your data. After this course you will have a very good overview of R time series visualisation capabilities and you will be able to better decide which model to choose for subsequent analysis. You will be able to also convey the message you want to deliver in an efficient and beautiful way.
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1
R Time Series Visualization Tools
FreeThis chapter will introduce you to basic R time series visualization tools.
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Multivariate 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.
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Univariate Time Series
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.
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Case study: Visually selecting a stock that improves your existing portfolio
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.
-
1
R Time Series Visualization Tools
FreeThis chapter will introduce you to basic R time series visualization tools.
-
Univariate Time Series
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.
-
Multivariate 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.
-
Case study: Visually selecting a stock that improves your existing portfolio
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.
What do other learners have to say?
“I've used other sites, but DataCamp's been the one that I've stuck with.”
Devon Edwards Joseph
Lloyd's Banking Group
“DataCamp is the top resource I recommend for learning data science.”
Louis Maiden
Harvard Business School
“DataCamp is by far my favorite website to learn from.”
Ronald Bowers
Decision Science Analytics @ USAA
Arnaud Amsellem
Quantitative Trader and creator of the R Trader blog
Arnaud has over 20 years of experience as a quantitative trader. He is creator and author of the R Trader blog (www.thertrader.com).
See MoreCollaborators
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Lore Dirick
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Davis Vaughan