Most posts on this site are about statistics and programming. The posts contain math, plots and the code to reproduce the results. The code makes reading the posts more difficult. However, most statistical calculations cannot be done by hand. For example, fitting a simple linear model requires minimizing the sum of squares. By adding the code, this blog aims to show that statistical results are not created by some magical procedure.

For example, creating a plot can be as simple as writing

```
using Gadfly
X = 1:30
plot(x = X, y = X.^2)
```

The source code of this website is available on GitHub.

*2021-01-21***Random forest classification in Julia***Fitting a random forest classifier and reporting accuracy metrics**2020-12-16***GitHub and GitLab commands cheatsheet***A cheatsheet for commands like 'Fix #2334'.**2020-11-29***Design cheatsheet***A summary of design tips and tricks.**2020-11-26***Grades queries***Using SQL like query syntax in Julia.**2020-11-14***Frequentist and Bayesian coin flipping***Comparing both statistical paradigms on a coin flipping example.**2020-11-07***Installing NixOS with encryption on a Lenovo laptop***Specifically, installing NixOS on the Lenovo Yoga 7.**2020-11-04***The logit and logistic functions***Providing the definitions, some plots and useful values to remember.**2020-11-02***A data-fusion example***An example in causal data-fusion.**2020-09-26***The principle of maximum entropy***Obtaining the least informative distribution.**2020-08-12***Writing effectively***Why writing should be valuable to the reader.**2020-07-29***Writing checklist***A list to quickly check for common mistakes in writing.**2020-06-28***Combinations and permutations***Deriving the equations for combinations and permutations.**2020-06-27***Comparing means and SDs***Transforming means and SDs from numbers in different ranges to the same range.**2020-05-11***Predicates and reproducibility***Thinking about the layers above statistics.**2020-03-05***Simple and binary regression***Applying a simple and binary (logistic) regression to simulated data.**2020-02-02***The greatest sales deck someone else has ever seen***It's Zuora's deck**2020-01-24***Correlations***The equations and some examples for the Pearson correlation coefficient.**2020-01-16***Benefits of writing blog posts***Convincing myself of why writing is a good habit to have.**2019-12-29***Statistical power from scratch***Explaining statistical power by first finding the binomial and normal distributions.**2019-12-03***Niceties in the Julia programming language***A quick walk through some Julia syntax and interesting features.**2019-12-01***NixOS configuration highlights***Particularily neat parts of using NixOS.**2019-10-29***Entr***A tool for executing commands automatically upon file changes.**2015-08-25***QoS setup using Tomato in combination with an Experiabox***My first blog post.*

This website is built with Julia 1.6.0 and

```
CSV 0.8.4
CategoricalArrays 0.9.6
DataFrames 1.0.1
Distributions 0.24.18
Franklin 0.10.36
GLM 1.4.1
Gadfly 1.3.2
HypothesisTests 0.10.3
MLDataUtils 0.5.4
MLJ 0.16.2
MLJBase 0.18.2
MLJDecisionTreeInterface 0.1.2
MLJGLMInterface 0.1.4
Query 1.0.0
StableRNGs 1.0.0
Suppressor 0.2.0
TikzPictures 3.3.3
```