Storyboard

Text box 1: space to include relevant comments in chronological order

Graph 1

Graph 2


https://echarts4r.john-coene.com/

  • Interactive visualizations for R via Apache ECharts.

  • An Open Source JavaScript Visualization Library.

  • Flexible Chart Types: Apache ECharts provides more than 20 chart types available out of the box, along with a dozen components, and each of them can be arbitrarily combined to use.

  • Professional Data Analysis: Manage data through datasets, which support data transforms like filtering, clustering, and regression to help analyze multi-dimensional analysis of the same data.

Text box 2: space to include relevant comments in chronological order


https://rstudio.github.io/dygraphs/

The dygraphs package is an R interface to the dygraphs JavaScript charting library. It provides rich facilities for charting time-series data in R, including:

  • Automatically plots xts time series objects (or any object convertible to xts).
  • Highly configurable axis and series display (including optional second Y-axis).
  • Rich interactive features including zoom/pan and series/point highlighting.
  • Display upper/lower bars (e.g. prediction intervals) around series.
  • Various graph overlays including shaded regions, event lines, and point annotations.
  • Use at the R console just like conventional R plots (via RStudio Viewer).
  • Seamless embedding within R Markdown documents and Shiny web applications.

Text box 3: space to include relevant comments in chronological order


https://rstudio.github.io/dygraphs/

The dygraphs package is an R interface to the dygraphs JavaScript charting library. It provides rich facilities for charting time-series data in R, including:

  • Automatically plots xts time series objects (or any object convertible to xts).
  • Highly configurable axis and series display (including optional second Y-axis).
  • Rich interactive features including zoom/pan and series/point highlighting.
  • Display upper/lower bars (e.g. prediction intervals) around series.
  • Various graph overlays including shaded regions, event lines, and point annotations.
  • Use at the R console just like conventional R plots (via RStudio Viewer).
  • Seamless embedding within R Markdown documents and Shiny web applications.

All systems

Row

Morocco

Spain

Row

Algeria

Mauritania

Row

France

Portugal

Morocco

Column

Morocco: demand projections

Morocco: demand evolution

Morocco: flexible demand

Morocco: seasonality base demand

Other systems

Total supplied load

Generation capacity

Column

Morocco all technologies

All systems: RES

All systems: thermal

Column

Morocco: all technologies

Interconnectors

Column

New and upgrades

Hourly dispatch

Row

Generation mix

Row

MA mix

Row

DZ mix

ES mix

PT mix

MR mix

Investment costs

Row

MA investment costs

Row

DZ investment costs

ES investment costs

PT investment costs

MR investment costs

Marginal costs

Column

Average marginal costs

Peak costs

Fuel consumption

Row

MA fuel consumption

Emissions

Row

MA emissions

Row

DZ emissions

ES emissions

PT emissions

MR emissions

Spillage

Row

MA spillage

Row

DZ spillage

ES spillage

PT spillage

MR spillage

Deficit

Row

MA deficit

Row

DZ deficit

ES deficit

PT deficit

MR deficit

Sources

Row

STATISTICS AND DATA SOURCES

System operation