Info 201 Final Project Proposal: Steven Bianco, Austin Sisley, Allen Shi, Joey Ravner
What is the dataset you'll be working with? -Quandle and AlphaVantager APIs are used to gather stock market data
Please include background on who collected the data, where you accessed it, and any additional information we should know about how this data came to be. -Quandle and AlphaVantager collected the data, and we accessed it from: https://blog.quandl.com/api-for-stock-data?utm_source=google&utm_medium=organic&utm_campaign=&utm_content=api-for-stock-data we were given API keys that gave us access to day by day data including key metrics.
Who is your target audience? Depending on the domain of your data, there may be a variety of audiences interested in using the dataset. You should hone in on one of these audiences. -People who are new investors or unfamiliar with general market trends looking to learn more about finance.
What does your audience want to learn from your data? Please list out at least 3 specific questions that your project will answer for your audience. -How can I make better investments? What are some of the different industry trends? How do stock prices generally trend over time?
How will you be reading in your data (i.e., are you using an API, or is it a static .csv/.json file)? -We will be reading in csv file obtained from Quandel's stock API.
What types of data-wrangling (reshaping, reformatting, etc.) will you need to do to your data? -We will need to turn the csv file into a data frame, then create a table.
What (major/new) libraries will be using in this project (no need to list common libraries that are used in many projects such as dplyr) -No new major libraries.
What major challenges do you anticipate? -Filtering the data, and finding the right shiny app visualization for our data.
Not required, but optional: what questions, if any, will you be answering with statistical analysis/machine learning? -With statistical analysis, we could create a regression between different variables. We could also use common financial ratios and other metrics included with the API.