Gives access to data visualisation methods that are relevant from the statistician's point of view. Using 'D3''s existing data visualisation tools to empower R language and environment. The throw chart method is a line chart used to illustrate paired data sets (such as before-after, male-female).

A lightweight package to assist in key steps involved in any data
    analysis workflow: (1) wrangling the raw data to get it in the needed form,
    (2) applying preprocessing steps and statistical transformations, and
    (3) compute statistical summaries of data properties and distributions.
    It is also the data wrangling backend for packages in 'easystats' ecosystem.
    References: Patil et al. (2022) <doi:10.21105/joss.04684>.

Functions to download and treat data regarding the Brazilian
    Amazon region from a variety of official sources.

The ts objects in R are managed using a very specific date format (in the form c(2022, 9) for September 2022 or c(2021, 2) for the second quarter of 2021, depending on the frequency, for example). We focus solely on monthly and quarterly series to manage the dates of ts objects. The general idea is to offer a set of functions to manage this date format without it being too restrictive or too imprecise depending on the rounding. This is a compromise between simplicity, precision and use of the basic 'stats' functions for creating and managing time series (ts(), window()).
    Les objets ts en R sont gérés par un format de date très particulier (sous la forme c(2022, 9) pour septembre 2022 ou c(2021, 2) pour le deuxième trimestre 2021 selon la fréquence par exemple). On se concentre uniquement sur les séries mensuelles et trimestrielles pour gérer les dates des objets ts. Lidée générale est de proposer un ensemble de fonctions pour gérer ce format de date sans que ce soit trop contraignant ou trop imprécis selon les arrondis. Cest un compromis entre simplicité, précision et utilisation des fonctions du package 'stats' de création et de gestion des séries temporelles (ts(), window()).