Group 4 DesignBuilt
Group 4 Project - A Tale of Bitcoin
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R Technology
We will be employing R to build an application to perform the necessary analytics.
R library packages used:
- Dplyr
- Prophet
- Shiny
- Tidyverse
- Lubridate
- Ggplot2
- Data.table
- Tibbletime
- Tidyquant
- Stringr
- KableExtra
- highcharter
Application Built and Design
The built was conceptualised around the idea on how to communicate our 2 motivations mentioned earlier in this paper. (Price patterns and trends and comparative returns)
We find the following visualisation useful to assist with our analytics
1. Time Series Chart Time series chart with the ability to zoom in and zoom out. The bar at the bottom allows user to select the period of interest and the top chart will rescale to fit the screen. The data used is the bitcoin data set. The object type is dataframe. The data required for this chart to work is the daily close price and date. R HighCharter package is used to build this chart
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2. Candle Stick Chart
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3. Auto Correlation Chart
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4. Price and Standard Deviation Facet by Year
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5. Comparatives
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6. Forecasting
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