Files

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

Descriptive_Statistics_in_Python.csv

1	iv1	iv2	median	std	mean	trimmed_mean
2	noise	1	962.4748045284091	142.87145681209597	979.242534213332	977.6071917797902
3	noise	2	1180.3526031136053	112.85542102711946	1173.7510775386322	1175.6839204283096
4	noise	3	1293.4332963142926	128.05319406285818	1298.5035528918638	1293.735855849951
5	quiet	1	477.3728301826787	109.92102618993482	496.2728667850206	500.21628409947743
6	quiet	2	588.6391119296707	75.52068470037284	586.9715252257087	581.2882267649697
7	quiet	3	791.8927469418701	132.92534730335424	819.0129315952987	814.8878002369454