R-powered custom visual implementing the “Seasonal and Trend decomposition using Loess” algorithm, offering several types of plots. Time series decomposition is an essential analytics tool to understand the time series components and to improve forecasting.
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Boris Efraty d1fca72e84 1.0.3 and api 1.7 (#4)
* 1.0.3 plus small changes
* changed api
2017-07-26 18:21:16 +03:00
assets 1.0.3 and api 1.7 (#4) 2017-07-26 18:21:16 +03:00
src 1.0.3 and api 1.7 (#4) 2017-07-26 18:21:16 +03:00
style 1.0.3 and api 1.7 (#4) 2017-07-26 18:21:16 +03:00
.gitignore 1.0.3 and api 1.7 (#4) 2017-07-26 18:21:16 +03:00
README.md Create README.md 2017-01-12 14:28:56 +02:00
capabilities.json 1.0.3 and api 1.7 (#4) 2017-07-26 18:21:16 +03:00
dependencies.json 1.0.3 and api 1.7 (#4) 2017-07-26 18:21:16 +03:00
package.json 1.0.3 and api 1.7 (#4) 2017-07-26 18:21:16 +03:00
pbiviz.json 1.0.3 and api 1.7 (#4) 2017-07-26 18:21:16 +03:00
script.r 1.0.3 and api 1.7 (#4) 2017-07-26 18:21:16 +03:00
tsconfig.json 1.0.3 and api 1.7 (#4) 2017-07-26 18:21:16 +03:00

README.md

powerbi-visuals-timeseriesdecomposition

R-powered custom visual implementing the “Seasonal and Trend decomposition using Loess” algorithm, offering several types of plots. Time series decomposition is an essential analytics tool to understand the time series components and to improve forecasting.