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