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* Version 1.0.3 HTM-based New guid, many changes in R code, visual.ts, supports source to R code * small change to metadata updated dependencies and github link * Solved small bugs 1) forecastLength < 12000 2) empty data => empty plot * removed "_HTML" from name * changed PBIX * Ver 1.0.4 Changed "qua(r)ter" word . English typo * commented out DEBUG code * api 1.7.0 + changes due to Ignat * try to ignore * gitignore * remove .R* * removed out_files * removed out.html.tmp * remove out.html_files * Ver 1.0.4 almost ready PBIX, export , conf limits in GUI like ARIMA * Ver 1.0.4 * small * removed commented * package.json revert partially * ignore * small * ignore * whitespaces and package-lock.json * tslint * "powerbi-visuals-utils-dataviewutils": "1.2.0" * ignore pbiviz * _work remove * tslint |
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README.md
PowerBI-visuals-forcasting-exp
R-powered custom visual. Based on exponential smoothing time series forecasting
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 exponential smoothing method for the forecasting. The prediction is based on trend and seasonality modeling. You can control the algorithm parameters and the visual attributes to suit your needs.
Highlighted features:
- NEW: support for tooltips on hover and selection
- The underlying algorithm requires the input data to be equally spaced time series
- Seasonal factor can be found automatically or set by user
- The choice of additive or multiplicative effect of each component can be found automatically or set by user
R package dependencies(auto-installed): graphics, scales, forecast, zoo, ggplot2, htmlWidgets, XML, plotly
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 Time Series Forecasting Chart at Microsoft Office store