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Repository containing Jupyter Notebooks for most of the blog posts on my blog. For example, there are data visualization, data manipulation, and data analysis code examples in the Notebooks

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Jupyter notebooks

In this folder you will find Jupyter Notebooks containing code examples for many of my blogposts (https://www.marsja.se). There are also notebooks containing the code for some of my Videos on my YouTube Channel. The main theme of the blog posts, right now, is data visualization, manipulation, and analysis using Python. For instance, you will find Pandas tutorials, Seaborn tutorials, and Statsmodels tutorials (e.g., Python ANOVA).

Pandas DataFrame Tutorial: Jupyter Notebooks

Here are different Notebooks containing the code examples for some of the Pandas Tutorials:

Working with DataFrame

Here you will find Jupyter notebooks, both R and Python right now, that focuses on how to work with data in specific ways.

Data Visualization in Python: Code Examples

Note books for different Data Visualization Tutorials:

Data Visualization in R: Code examples

Rpy2 Tutorial: Code Examples

For some data analysis techniques we may want to use R. This because it may not yet be implemented in Python. Here are some Jupyter Notebooks for one Python package called Rpy2:

Python Data Analysis Tutorials

In this section, we find the code examples, in the form of Jupyter Notebooks, for the Python data analysis tutorials;

Descriptive Statistics in Python

Here, there are some Jupyter Notebooks for carrying out summary statistics using Python, Pandas, Scipy, and other useful Python packages

T-test

ANOVA in Python and R

Here we have Python ANOVA Notebooks. There is also one Notebook for carrying out ANOVA using R.

Python ANOVA (Between Groups)

Python ANOVA (Within Group)

MANOVA in Python

Other

Tutorials, guides, and how tos (both Python and R) that doesn't fit into the above categories

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Repository containing Jupyter Notebooks for most of the blog posts on my blog. For example, there are data visualization, data manipulation, and data analysis code examples in the Notebooks

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