Group10 Overview
Revision as of 02:20, 1 December 2017 by Aishwaryam.2016 (talk | contribs)
|
|
|
|
|
Contents
Background
Time Series Analysis
Case Application
Problem and Motivation
Data Preparation
Application and Analysis
Basic Time Series
Clustering
Forecasting
Packages
| Package Name | Descriptions |
|---|---|
| RShiny | Interactive web applications for data visualization |
| Tidyverse: tidyr, dplyr, ggplot2 | Tidying and manipulating data for visualizing in ggplot2 |
| Shinythemes | Provide consistent UI elements for aesthetics |
| forecast, broom, sweep | Packages used to "tidy" data models for easy forecasting. Forecast package uses ts objects that is difficult to manipulate. sw_sweep from the sweep package uses broom-style tidiers to extract model infomation into 'tidy' data frames. sweep package also uses timekit at the back-end to maintain the original time series index throughout the whole process. |
| tibbletime | Time-based data subsetting |
| lubridate | Easy manipulation of datetime data |
| timetk | Extracting/checking of datetime index from ts objects |
