-
Cross Validation of Time Series Models
-
Latin Hypercube Sampling
-
Triangular and PERT Probability Distributions
-
Examples of Visualizations with ggplot
-
Analyzing a Lottery with Monte Carlo Simulation
-
A Faceted Horizontal Bar Chart
-
Environmental Impact of the Barcelona F1 Road Show
-
Impacte ambiental del F1 Road Show a Barcelona
-
Coloring an Intricate Map with Graph Coloring Algorithms
-
Node Coloring with Linear Programming
-
Pareto Front in Multicriteria Optimization
-
Using Recursion to Generate Feature Interaction Terms
-
Examining the Central Limit Theorem with purrr
-
Prim's Algorithm for the Minimum Spanning Tree
-
2-opt Moves in the Travelling Salesman Problem
-
Solving the Maximum Flow Problem
-
Introducing Confidence Intervals
-
A Syllabus for Tabular Data Analytics
-
Getting Barcelona Sunset and Sunrise Hours
-
Resources for Business Analytics in R
-
A Dual Axis Line Plot
-
Line Plots with Grouping and Direct Labels
-
Random Walks in Lattices
-
Efficiency of Unweighted Networks
-
The Small-World Property of Complex Networks
-
Random and Scale-Free Network Models
-
A Dummbell Plot of the Evolution of EU Gini Index
-
Cleaning the Credit Card Defaults Dataset
-
Three Measures of Inequality (Making Of)
-
Three Measures of Inequality
-
Color Blindness in R
-
A Candlestick Plot of Big Stock Companies
-
Plotting a Multiple Line Plot
-
Plotting an Horizontal Bar Chart
-
A Workflow for Exploratory Factor Analysis in R
-
Prompting chatGPT to Build a Tabu Search Algorithm
-
Plotting World Bank Data
-
Structural Equation Modelling with lavaan
-
Resources for Data Visualization
-
Winners of the World Cup
-
Mapping with purrr
-
Recent evolution of the Spanish inflation
-
Plotting complex variable functions in R
-
Undersampling and oversampling with tidymodels
-
Introducing the beta probability distribution
-
Using undersampling with decision trees and random forests
-
Introducing random forests in R
-
Predicting with decision trees using rpart
-
Classifying with decision trees using C5.0
-
Cross validation and hyperparameter tuning with tiydmodels
-
Regularized regression with glmnet
-
Log transformations in numerical prediction
-
Dependency networks of installed R packages
-
Dense visualization in R with ggrepel and plotly
-
Rolling functions in R
-
A fast fitness function for the TSP in R
-
Joining relational tables in dplyr
-
Combinatorial explosion
-
Optimizing the Odyssey
-
Two airline airport networks
-
Coding tabu search in R
-
Coding simulated annealing in R
-
Breaking symmetry in linear programming formulation
-
Just another starred correlation function in R
-
Examining correlation matrices in R
-
Solving linear programming with GLPK in R
-
Plotting US airline airport networks
-
Moderated multiple regression in R
-
Doing maps in R
-
Covariance and Pearson correlation in R
-
Intermediate solutions in QCA analysis using R
-
Obtaining sufficient conditions in QCA minimizing the truth table using R
-
Necessary and sufficient conditions in QCA using R
-
Fuzzy sets for qualitative comparative analysis (QCA) using R
-
Controlling for Type I errors for multiple hypothesis tests in R
-
What is ANOVA and how to do it with R
-
Categorical variables in linear regression
-
Why are there vaccinated among COVID-19 infected?
-
The power law
-
Hierarchical linear regression
-
Lissajous curves
-
The viridis palettes
-
The Brewer palettes
-
Introducing hypothesis testing
-
Logistic regression
-
Pie charts versus bar charts
-
Summary statistics in linear regression
-
Maximum likelihood estimates
-
Influential observations in linear regression
-
Linear regression with broom
-
A workflow for Numerical Prediction with tidymodels
-
Introducing the Receiver Operating Characteristic Curve
-
A workflow for Binary Classification with Tidymodels
-
Merging with dtplyr
-
Merging with data.table
-
The all-administrative univesity
-
An R nightmare of looping, growing and floating point errors
-
Line and bar plots in ggplot2
-
Colors and shapes of points in ggplot2
-
On the performance of for loops in R
-
Introducing ggplot
-
Data manipulation with dplyr
-
Tidy data
-
Rectangular data in R
-
Blogging with static websites