Statistics

This page provides an overview on all entries that relate explicitly to statistical analyses.

WORK IN PROGRESS

An initial path towards statistical analysis

The following list provides diverse R examples

R Coding examples

  Ancova

  Apply, Lapply and Tapply

  Barplots, Histograms and Boxplots

  Bootstrap Method

  Bubble Plots

  Chord Diagram

  Correlation Plots

  Cronbach's Alpha

  Data distribution

  Descriptive statistics

  Experiments

  Field experiments

  Heatmap

  Introduction to statistical figures

  Kernel density plot

  Likert Scale

  Partial Correlation

  Pie Charts

  Price Determinants of Airbnb Accommodations

  Regression Analysis

  Sankey Diagrams

  Stacked Area Plot

  Stacked Barplots

  T-Test

  The tao of R-coding

  Treemap

  Venn Diagram

  Wordcloud

The following is a list of all Statistics entries (to be updated with more categories?) + to be updated in terms of double entries

  A matter of probability

  A/B Testing

  An initial path towards statistical analysis

  Ancova

  ANOVA

  Apply, Lapply and Tapply

  Back of the envelope statistics

  Barplots, Histograms and Boxplots

  Bayesian Inference

  Bias in statistics

  Binomial distribution

  Bootstrap Method

  Bootstrapping in Python

  Bubble Plots

  Case studies and Natural experiments

  Causality

  Causality and correlation

  Causality and correlation (German)

  Chord Diagram

  Clustering Methods

  Conditions and Branching in Python

  Correlation Plots

  Correlations

  Cronbach's Alpha

  Data distribution

  Data formats

  Data formats (German)

  Data Inspection in Python

  Data Versioning with Python

  Decision Trees in Python

  Descriptive statistics

  Designing studies

  Dummy variables

  Ethics and Statistics

  Exceptions in Python

  Experiments

  Experiments and Hypothesis Testing

  Experiments and Hypothesis Testing (German)

  Exploring Different Correlation Coefficients and Plotting Correlations in Python

  Factor Analysis

  Field experiments

  Functions in Python

  Generalized Linear Models

  Handling Categorical Data in Python

  Handling Missing Values in Python

  Heatmap

  How long do you store data?

  How To Create Synthetic Data with CTGAN

  How to Lie with Statistics

  How to write unreadable und unmaintainable code

  Introduction to Pandas

  Introduction to statistical figures

  K-Means Algorithm in Python

  Kernel density plot

  Likert Scale

  Limitations of Statistics

  Linear Regression in Python

  Lists, Tuples, Sets, and Dictionaries in Python

  Loops in Python

  Machine Learning

  Markdown

  Mathematical Functions in Python

  Mathematics of the t-Test

  Mixed Effect Models

  Modelling Initial Value Problems in Python

  Multi-Criteria Decision Making in Python

  Multiple Regression in Python

  Non-equilibrium dynamics

  Object Relational Mapping in Python

  Objects and Classes in Python

  Objects in Python

  Outlier Detection in Python

  Partial Correlation

  Permutation Test

  Pie Charts

  Poisson Distribution in Python

  Price Determinants of Airbnb Accommodations

  Principal Component Analysis

  Reading and Writing Files in Python

  Regression Analysis

  Regression, Correlation, and Ordinary Least Squares Estimator in Python

  Sankey Diagrams

  Scatterplots in Python

  Simple Statistical Tests

  Social Network Analysis

  Stacked Area Plot

  Stacked Barplots

  Statistics and mixed methods

  Structured Query Language in Python

  Support Vector Machine in Python

  T-Test

  The future of statistics?

  The great statistics recap

  The tao of R-coding

  Time Series Data in Python

  Treemap

  Types, Expressions, and Variables in Python

  Venn Diagram

  Web Scraping in Python

  Why statistics matters

  Wordcloud