Difference between revisions of "Group 4 DesignBuilt"
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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 |
Revision as of 11:35, 30 November 2017
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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