Alejandro Alvarado's repositories
30-day-chart-challenge-2024
Uploading my contributions to the challenge
academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
bbplot
R package that helps create and export ggplot2 charts in the style used by the BBC News data team
Business-Impact-Modelling
Code for the different models which will be used to estimate the impact of the service level in the business outcomes
Chatbot-Shiny
Chatbot developed in R Shiny using 2 KNN models for classification with Caret library.
covid_plots
Gráficas básicas de COVID
cv
My CV built using RMarkdown and the pagedown package.
Data-Science--Cheat-Sheet
Cheat Sheets
data-science-in-tidyverse
Materials for Data Science in the Tidyverse, a two-day workshop @ rstudio:conf(2019)
data-science-toolkit
Collection of stats, modeling, and data science tools in Python and R.
data_analysis_website
Make your data science report a website. In 10 minutes.
deeplearning-models
A collection of various deep learning architectures, models, and tips
forecasting
Time Series Forecasting Best Practices & Examples
Ingresos-y-gastos-del-adulto-mayor-en-Mexico
Este repositorio contiene los códigos utilizados en el documento de trabajo "Ingresos y gastos del adulto mayor en México: La importancia de las pensiones"
Mapas
Código para mapear tópicos relacionados con México
MLAlgorithms
Minimal and clean examples of machine learning algorithms implementations
Movilidad-y-formalidad-laboral-en-Mexico
Este repositorio contiene los códigos utilizados en el documento de trabajo "Movilidad y formalidad laboral en México"
netViz
Network Visualization Workshop
PopulationPyramids
Mexico's ageing population, animated with R
presentations
A central repository of Business Science presentations
R4Econ
Shared resources for Econ Research Assistants working in R
shinymark
Files for the RStudio::conf 2019 workshop: Introduction to Shiny and R Markdown
tidylog
Tidylog provides feedback about basic dplyr operations. It provides simple wrapper functions for the most common functions, such as filter, mutate, select, and group_by.
wtf-2019-rsc
What They Forgot to Teach You About R, 2019 January 15/16 @ rstudio::conf