Programming in R

Hello Everyone,

R Coding Interview: Stock Price Analysis

We recently received stock ticker data for 776 stocks between January 2005 and November 2017. This data contains each day’s open, close, high and low stock price, along with the volume of stock (# stocks * price = value of the company). Some data has been webscraped to add to the stock ticker data, but is limited and has several missing values.

The data can be found in the following three files:

• data/[login to view URL]

• data/[login to view URL]

• data/[login to view URL]

These three files should help you answer the questions that follow. A general time window is added to each objective. It is not required to only use the recommended time, but it may help you gauge when you should move on and come back to questions you have not completed, or detail in writing how you would solve the problem were you able to code it.

All of your code should be written in the R file stocks.R. Your code should be well documented. If you find that you do not know how to code something in R, explain what it is you don’t know

in your comments, and how you would approach the problem in detail. In the event that you get

stuck, include the aforementioned explanation in the comments and move on to the next piece.

You have three main objectives that you will answer with the questions contained in the stocks.R file:

1. Explore the data and plot visuals you find useful. (30-60 minutes)

2. Build a model that detects stocks that are dependent on private equity interest. (60-90 minutes)

3. Find stocks that best match up over time, and assess how well they match. (60-90 minutes)

Some of these objectives have some directed code, but feel free to go further after completing the directed

code chunks.

When finished, save this file with all of the comments and code you have produced. This will serve as the

exam submission.

WHILE YOU HAVE A FULL DAY TO COMPLETE THIS, YOU SHOULD BE ABLE TO

COMPLETE THE ANALYSIS IN 4 HOURS. IF YOU FEEL THAT YOU WILL NOT FINISH

ALL OF THE QUESTIONS IN THE 4 HOURS, WE ENCOURAGE YOU TO USE THE

LAST 15 MINUTES TO LOOK OVER YOUR ANSWERS AND COMMENT IN THE FILE

WHAT YOU WOULD DO IF YOU HAD MORE TIME.

For your understanding, I am adding files here. One file is not attached due to oversize.

If someone is interested please let me know.

Linguagem de Programação R Análise estatística Estatísticas Excel Estatística SPSS

ID do Projeto: #26439374

Sobre o projeto