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