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A personal blog about data visualization and data analysis.
Welcome to my blog!
Here I will share some ideas about dataviz and data science.
- Leveraging mixed-effect models;/statistics/bambi_multilevel;1
- Random models and mixed models;/statistics/random_models;2
- Hierarchical models and meta-analysis;/statistics/hierarchical_metaanalysis;3
- Hierarchical models;/statistics/hierarchical_models;4
- Poisson regression;/statistics/poisson_regression;5
- Logistic regression;/statistics/logistic_regression;6
- Robust linear regression;/statistics/robust_regression;7
- Multi-linear regression;/statistics/multivariate_regression;8
- Linear regression with binary input;/statistics/regression_binary_input;9
- Introduction to the linear regression;/statistics/regression;10
- Model comparison, cont.;/statistics/model_averaging_cont;11
- Model comparison;/statistics/model_averaging;12
- Re-parametrizing your model;/statistics/reparametrization;13
- Predictive checks;/statistics/predictive_checks;14
- Trace inspection;/statistics/trace_inspection;15
- Introduction to the Bayesian workflow;/statistics/bayesian_workflow;16
- Mixture models;/statistics/mixture;17
- Multidimensional distributions;/statistics/categories;18
- The Gaussian model;/statistics/reals;19
- Bonus: counting animals in a park;/statistics/hypergeom;20
- The Negative Binomial model;/statistics/negbin;21
- The Poisson model;/statistics/poisson;22
- The Beta-Binomial model;/statistics/betabin;23
- Section introduction;/statistics/simple_models_intro;24
- Some notation about probability;/statistics/probability_reminder;25
- How does MCMC works;/statistics/mcmc_intro;26
- Introduction to Bayesian inference;/statistics/bayes_intro;27
- An overview to statistics;/statistics/preface;28
- The Gestalt principles;/dataviz/gestalt;29
- Design tricks;/dataviz/design-introduction;30
- How to choose a color map;/dataviz/palettes-introduction;31
- Introduction to color perception;/dataviz/color-introduction;32
- Drawing is redrawing;/dataviz/gender-economist;33
- Visual queries;/dataviz/visual-queries;34
- Channel effectiveness;/dataviz/effectiveness;35
- Evolutions of the line chart;/dataviz/linechart-evolution;36
- Beyond the 1D scatterplot;/dataviz/scatterplot-evolution;37
- Perception;/dataviz/perception;38
- Fundamental charts;/dataviz/fundamental-charts;39
- Marks and channels;/dataviz/marks-channels;40
- Data abstraction;/dataviz/data-types;41
- Data visualization;/dataviz/dataviz;42
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