หลังจากเรียนคอร์สเหล่านี้ รู้สึกมั่นใจในการสร้างการแสดงผลข้อมูลและแดชบอร์ดระดับมืออาชีพ
Shoebur RahmanProcurement Specialist, Giz Bangladesh
รายละเอียดคอร์ส
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.
ข้อกำหนดเบื้องต้น
หลักสูตร
โครงร่างคอร์ส
1
R Time Series Visualization Tools
This chapter will introduce you to basic R time series visualization tools.
- Refresher on xts and the plot() function50 XP
- plot() function quiz50 XP
- plot() function - basic parameters100 XP
- plot() function - basic parameters (2)100 XP
- Control graphic parameters100 XP
- Graphic parameters quiz50 XP
- Other useful visualizing functions50 XP
- Adding an extra series to an existing chart100 XP
- Highlighting events in a time series100 XP
- Highlighting a specific period in a time series100 XP
- A fancy stock chart100 XP
- A fancy stock chart (2)100 XP
2
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.
3
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.
4
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.
R
Visualizing Time Series Data in R
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