powerbi-visuals-forcastingarima

An R-powered custom visual implementing Autoregressive Integrated Moving Average (ARIMA) modeling for the forecasting. Time series forecasting is the use of a model to predict future values based o…

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powerbi-visuals-forcastingarima

An R-powered custom visual implementing Auto-regressive Integrated Moving Average (ARIMA) modeling for the forecasting. Time series forecasting is the use of a model to predict future values based on previously observed values.

Forcastingarima screenshot

Overview

Use forecasting today to optimize for tomorrow! Time series forecasting is the use of a model to predict future values based on previously observed values.

It is one of the prime tools of any buisness analyst used to predict demand and inventory, budgeting, sales quotas, marketing campaigns and procurement. Accurate forecasts lead to better decisions. Current visual implements well known Autoregressive Integrated Moving Average (ARIMA) method for the forecasting. ARIMA models are general class of models for forecasting a time series which can be made to be “stationary”. While exponential smoothing models are based on a description of trend and seasonality in the data, ARIMA models aim to describe the autocorrelations in the data. Both seasonal and non-seasonal modeling is supported. You can control the algorithm parameters and the visual attributes to suit your needs.

Highlighted features:

  • The underlying algorithm requires the input data to be equally spaced time series
  • Seasonal factor can be found automatically or set by user
  • By default, algorithm will optimize for all the parameters of the model based on certain information criteria
  • Advanced user can control all the inner parameters of the model

R package dependencies(auto-installed): proto, zoo

Supports R versions: R 3.3.1, R 3.3.0, MRO 3.3.1, MRO 3.3.0, MRO 3.2.2

See also Forecasting with ARIMA at Microsoft Office store

Overview

Name With Ownermicrosoft/powerbi-visuals-forcastingarima
Primary LanguageR
Program languageR (Language Count: 3)
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License:
Release Count0
Created At2017-01-12 12:30:56
Pushed At2023-06-12 18:29:12
Last Commit At2018-04-30 17:03:14
Stargazers Count12
Watchers Count13
Fork Count19
Commits Count14
Has Issues Enabled
Issues Count4
Issue Open Count4
Pull Requests Count5
Pull Requests Open Count1
Pull Requests Close Count4
Has Wiki Enabled
Is Archived
Is Fork
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