Publications by Lihong Ma

Document

22.04.2020

###Introduction The Quantified Self (QS) is a movement motivated to leverage the synergy of wearables, analytics, and “Big Data”. This movement exploits the ease and convenience of data acquisition through the internet of things (IoT) to feed the growing obsession of personal informatics and quotidian data. The website http://quantifiedself.c...

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ANLY 512 FINAL PROJECT-LIHONGMA

22.04.2020

###Introduction The Quantified Self (QS) is a movement motivated to leverage the synergy of wearables, analytics, and “Big Data”. This movement exploits the ease and convenience of data acquisition through the internet of things (IoT) to feed the growing obsession of personal informatics and quotidian data. The website http://quantifiedself.c...

3489 sym R (624 sym/6 pcs) 4 img

Document

18.04.2020

===================================== Row {data-height=320} ————————————- Overview Climate change and science has been an issue for discussion and debate for at least the last decade. Climate data collection is currently being collected for areas all over the world. Policy decisions are based on the most recent analysis c...

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Document

28.03.2020

Objectives The objective of this assignment is to conduct an exploratory data analysis of a data set that you are not familiar with. In this week’s lecture, we discussed a number of visualization approaches in order to explore a data set with categorical variables. This assignment will apply those tools and techniques. An important distinction...

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ANLY 512 Lab1

13.03.2020

Sidebar STOCK INVESTMENT The objective is to leverage visualization of stock prices to make investment decistion. The stocks in consideration are “WALMART”, “BEST BUY”, “TARGET”, and “AMAZON”. By looking into past data, we will be able to make decision by visual dashboard. Column WALMART timeWindow<-c("2019-03-01", "2020-03-01"...

685 sym R (2943 sym/9 pcs)

Problem set 1 for anly 512_Lihong Ma

26.02.2020

Directions During ANLY 512 we will be studying the theory and practice of data visualization. We will be using R and the packages within R to assemble data and construct many different types of visualizations. We begin by studying some of the theoretical aspects of visualization. To do that we must appreciate the basic steps in the process of mak...

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