Time Series Analysis Environment

A web-based environment for analyzing time series and forecasting with them.

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Usage

App currently deployed and runnable at: https://domdatascience.shinyapps.io/time-series-analysis-environment/

App Features

A series of plots present the time series provided by the user and its forecasting. Many interactions can be performed with the app:

• The user can browse the file system and input any file having a monthly time series;
• A date range can be defined for the input time series with start and end date. This range is used to form the "Time" x-axis of the plots;
• Additionally, the user can inform any number of months to forecast using the ARIMA model on the time series;
• A histogram illustrates the data distribution;
• A boxplot visually provides more details about the data;
• The original time series is plotted as received from input;
• A decomposition plot presents the following details about the time series:
  1. Trend;
  2. Seasonality;
  3. Remainder.
• The forecasted time series is plotted with the forecast appended to the end of the original time series;
• To the right of the forecasting plot, a table gives the lower bound, mean and upper bound for each month forecasted.

User Interface Sample

Shiny is a framework that allows users to develop web apps using R and embedded web languages, such as CSS and HTML. Shiny apps focus on objectiveness and simplicity: only one or two R scripts have all the code for the app.

This app development started with knowledge and tools discussed during the course "Data Science Bootcamp" by Fernando Amaral. The app has been upgraded and personalized, adding new functionalities.