GitHub - marsja/jupyter: 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

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:

Reversing Pandas Dataframe
Pandas Dataframe Tutorial: Working with Dataframes
Python Pandas JSON Tutorial
Data Cleansing With Pandas and Pyjanitor - In this notebook code examples on how to delete missing values, remove empty columns, clean column names (i.e., rename columns) and so on can be found.
Read SPSS files in Python - Learn how to load .sav files into Pandas dataframes.
Converting a Dictionary to a Pandas Dataframe
How to Print the Columns Names in a Pandas dataframe

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.

How to Reverse Code in R - An R note book for learning how to reverse scores from a questionnaire using R and the package psych. -Create Dummy Variables in Python with Pandas

Data Visualization in Python: Code Examples

Note books for different Data Visualization Tutorials:

Kernel Estimation, Cumulative Distribution Function, Delta Plot, & Conditional Accuracy Function: Different data visualization techniques for response time data
Python Data Visualization Tutorial: How to Create a Scatter Plot
How to Make Scatter Plots using Python - Here we work with the following Seaborn methods: scatterplot, regplot, lmpot, and pairplot. We learn how to make scatter plots with regression lines, change the color and markers of Seaborn plots, rotate the ticks labels, and much more.
Raincloud Plots in Python Here's the example code from the Python data visualization tutorial on how to make raincloud plots in Python (YouTube Video)
How to make a Histogram in Python with Pandas

Data Visualization in R: Code examples

Scatterplots in R using ggplot2 - Notebook containing code examples on how to create scatter plots using ggplot2.

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:

Rpy2 & R-plots in Jupyter Notebooks (See the YouTube Video)
Rpy2 Tutorial: Example

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

Two-Sample T-test in Python

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

One-Way MANOVA using Statsmodels - This notebook contains the multivariate data analysis Multivariate Analysis of Variance (MANOVA)

Other

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

Get Max Value in Dictionary in Python
Convert HTML to Jupyter notebook - Code to convert HTML (e.g., code within code tags) to .ipynb files that can be run
Convert Float Array to Integer Array Python - Code to convert a NumPy float Array to an Integer Array

Name		Name	Last commit message	Last commit date
Latest commit History 139 Commits
Python_ANOVA		Python_ANOVA
R_Notebooks		R_Notebooks
SimData		SimData
YT		YT
.gitignore		.gitignore
ANOVA_in_R_Repeated_Measures_Example.ipynb		ANOVA_in_R_Repeated_Measures_Example.ipynb
Descriptive_Statistics_in_Python.csv		Descriptive_Statistics_in_Python.csv
Jupyter_extension_rmagic_rpy2_tutorial.ipynb		Jupyter_extension_rmagic_rpy2_tutorial.ipynb
MANOVA_Test_in_Python_Statsmodels_Example.ipynb		MANOVA_Test_in_Python_Statsmodels_Example.ipynb
NamesAndAges.xlsx		NamesAndAges.xlsx
Pandas Scatter Plot Tutorial.ipynb		Pandas Scatter Plot Tutorial.ipynb
Pandas_Dataframe_Tutorial_Example_Code.ipynb		Pandas_Dataframe_Tutorial_Example_Code.ipynb
Pandas_read_html_example_code.ipynb		Pandas_read_html_example_code.ipynb
Python Pandas CSV.ipynb		Python Pandas CSV.ipynb
README.md		README.md
Raincloud_Plots_in_Python.ipynb		Raincloud_Plots_in_Python.ipynb
Reading Multiple Spreadsheets using Pandas.ipynb		Reading Multiple Spreadsheets using Pandas.ipynb
Rename_Columns_in_Pandas_Dataframe.ipynb		Rename_Columns_in_Pandas_Dataframe.ipynb
Rpy2 and R plots in a Jupyter Notebook!.ipynb		Rpy2 and R plots in a Jupyter Notebook!.ipynb
Scatterplot_example.ipynb		Scatterplot_example.ipynb
Seaborn_Scatterplot_Tutorial_Example_Code.ipynb		Seaborn_Scatterplot_Tutorial_Example_Code.ipynb
Selecting Specific Rows & Columns of Pandas Dataframe Objects.ipynb		Selecting Specific Rows & Columns of Pandas Dataframe Objects.ipynb
convert_html_jupyter_notebook_tutorial.ipynb		convert_html_jupyter_notebook_tutorial.ipynb
convert_numpy_float_array_to_integer_array_Python.ipynb		convert_numpy_float_array_to_integer_array_Python.ipynb
correlation_matrix_in_python.ipynb		correlation_matrix_in_python.ipynb
descriptive_statistics_example_code.ipynb		descriptive_statistics_example_code.ipynb
descriptive_stats_using_numpy_python.ipynb		descriptive_stats_using_numpy_python.ipynb
example_sheets2.xlsx		example_sheets2.xlsx
flanks.csv		flanks.csv
getting_the_highest_value_from_dictionary.ipynb		getting_the_highest_value_from_dictionary.ipynb
how-to-get-column-names-Pandas-python.ipynb		how-to-get-column-names-Pandas-python.ipynb
how-to-make-histogram-in-pandas-python.ipynb		how-to-make-histogram-in-pandas-python.ipynb
how_to_convert_a_dictionary_to_pandas_dataframe.ipynb		how_to_convert_a_dictionary_to_pandas_dataframe.ipynb
how_to_read_SPSS_sav_files_in_Python.ipynb		how_to_read_SPSS_sav_files_in_Python.ipynb
how_to_read_xlsx_files_in_Python_using_pylightxl.ipynb		how_to_read_xlsx_files_in_Python_using_pylightxl.ipynb
how_to_use_pandas_groupby_method.ipynb		how_to_use_pandas_groupby_method.ipynb
json_in_python_and_pandas.ipynb		json_in_python_and_pandas.ipynb
kde-cdf-delta-caf-plots.ipynb		kde-cdf-delta-caf-plots.ipynb
mann_whitney_u_test_Python.ipynb		mann_whitney_u_test_Python.ipynb
multiple_Sheets.xlsx		multiple_Sheets.xlsx
names_ages.xlsx		names_ages.xlsx
newfilename.xlsx		newfilename.xlsx
pairplot.eps		pairplot.eps
pandas_dataframe_tutorial.ipynb		pandas_dataframe_tutorial.ipynb
pandas_get_dummies_how_to_create_dummy_variables.ipynb		pandas_get_dummies_how_to_create_dummy_variables.ipynb
pandas_groupby_tutorial.ipynb		pandas_groupby_tutorial.ipynb
percentage_rank_per_disciplin.csv		percentage_rank_per_disciplin.csv
pingouin_repeated_measures_anova_python.ipynb		pingouin_repeated_measures_anova_python.ipynb
pyjanitor_data_cleaning_adding_columns_removing_columns_pandas.ipynb		pyjanitor_data_cleaning_adding_columns_removing_columns_pandas.ipynb
pyreadstat_and_pandas_read_stata_tutorial_code.ipynb		pyreadstat_and_pandas_read_stata_tutorial_code.ipynb
python_descriptive_statistics_sample.ipynb		python_descriptive_statistics_sample.ipynb
reading_STATA_files_using_Pandas.ipynb		reading_STATA_files_using_Pandas.ipynb
reverse_pandas_dataframe.ipynb		reverse_pandas_dataframe.ipynb
rpy2 tutorial example code.ipynb		rpy2 tutorial example code.ipynb
scatter_matrix.ipynb		scatter_matrix.ipynb
scatter_plot_in_Python_with_ggplot.ipynb		scatter_plot_in_Python_with_ggplot.ipynb
seaborn_line_graphs_guide_code_examples.ipynb		seaborn_line_graphs_guide_code_examples.ipynb
two_sample_t-test_Python.ipynb		two_sample_t-test_Python.ipynb

marsja/jupyter

Folders and files

Latest commit

History

Repository files navigation

Jupyter notebooks

Pandas DataFrame Tutorial: Jupyter Notebooks

Working with DataFrame

Data Visualization in Python: Code Examples

Data Visualization in R: Code examples

Rpy2 Tutorial: Code Examples

Python Data Analysis Tutorials

Descriptive Statistics in Python

T-test

ANOVA in Python and R

Python ANOVA (Between Groups)

Python ANOVA (Within Group)

MANOVA in Python

Other

About

Topics

Resources

Stars

Watchers

Forks

Languages