Difference between revisions of "Group10 Overview"
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== Background == | == Background == | ||
| + | === Time Series Analysis === | ||
| + | === Case Application === | ||
| − | == | + | == Problem and Motivation == |
| − | === | + | == Data Preparation == |
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| + | == Application and Analysis == | ||
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| + | === Basic Time Series === | ||
| − | == | + | === Clustering === |
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| − | + | === Forecasting === | |
| − | + | == Packages == | |
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{|class="wikitable" | {|class="wikitable" | ||
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! Package Name !! Descriptions | ! Package Name !! Descriptions | ||
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| − | | '' | + | | ''RShiny'' || Interactive web applications for data visualization |
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| ''Tidyverse: tidyr, dplyr, ggplot2'' || Tidying and manipulating data for visualizing in ggplot2 | | ''Tidyverse: tidyr, dplyr, ggplot2'' || Tidying and manipulating data for visualizing in ggplot2 | ||
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| ''timetk'' || Extracting/checking of datetime index from ts objects | | ''timetk'' || Extracting/checking of datetime index from ts objects | ||
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Revision as of 02:20, 1 December 2017
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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 |
