Difference between revisions of "Group 4 DesignBuilt"
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We find the following visualisation useful to assist with our analytics | We find the following visualisation useful to assist with our analytics | ||
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| + | <font size = 4><span style="font-family:Century Gothic;font-weight:500;padding-bottom:1px; border-bottom: solid 1px black;">1. Time Series Chart</span></font> | ||
| + | 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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| + | [Attach Image] | ||
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| + | <font size = 4><span style="font-family:Century Gothic;font-weight:500;padding-bottom:1px; border-bottom: solid 1px black;">2. Candle Stick Chart</span></font> | ||
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| + | [Attach image] | ||
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| + | <font size = 4><span style="font-family:Century Gothic;font-weight:500;padding-bottom:1px; border-bottom: solid 1px black;">3. Auto Correlation Chart </span></font> | ||
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| + | [Attach image] | ||
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| + | <font size = 4><span style="font-family:Century Gothic;font-weight:500;padding-bottom:1px; border-bottom: solid 1px black;">4. Price and Standard Deviation Facet by Year</span></font> | ||
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| + | [Attach Image] | ||
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| + | <font size = 4><span style="font-family:Century Gothic;font-weight:500;padding-bottom:1px; border-bottom: solid 1px black;">5. Comparatives</span></font> | ||
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| + | [Attach Image] | ||
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| + | <font size = 4><span style="font-family:Century Gothic;font-weight:500;padding-bottom:1px; border-bottom: solid 1px black;">6. Forecasting</span></font> | ||
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Revision as of 11:52, 30 November 2017
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
[Attach Image]
2. Candle Stick Chart
[Attach image]
3. Auto Correlation Chart
[Attach image]
4. Price and Standard Deviation Facet by Year
[Attach Image]
5. Comparatives
[Attach Image]
6. Forecasting
[Attach Image]
