Python Data Analysis Guided Project Drugged Islanders, Level 1, 19 minutes

Seaborn Heatmap of correlation matrix with Seaborn diverging_palette

On this beginner-guided instructional project in Python we will explore with our Python data analysis skills what happened to the Islanders when the were given various drugs. Studying the effects of drugs using Pandas and Seaborn in Python on the isolated islander as they were given different medicine. A free instructional education tool for beginners.

Template Workbook

Solutions Workbook

Data Science Teacher Brandyn YouTube Channel

One on one time with Data Science Teacher Brandyn

Dataset on Kaggle

Send data science teacher brandyn a message if you have any questions

On Facebook

On Linkedin

Data Groups:

Showcase your DataArt

Python data analysis group, share your analysis

Machine learning in sklearn group

Join the deep learning with tensorflow group for more updates

Use the heatmap plot in Seaborn to explore the linear correlations in our dataset. Learn how to use Seaborn's diverging palette generator to emphasize the positive and negative correlations.

Intro to this Instructional Python Guided Project

In our Python data analysis project, we will be analyzing what happened to the Islanders when they were given Alprazolan (Xanax), Triazolam (Halicon), and placebos.

Create the difference in memory score to us to study the effects of drugs in our data analysis

Our data analysis requires us to look at how the drugs given impacted memory.

Use for loop in Python to plot all the distributions with Seaborn

Here is will plot many histograms with Pandas in Python with a for loop.

With Seaborn use the hue argument to change the color of categories

Using another for loop to plot many distributions at once we use Seaborn this time to change the colors of our categories by color to allow for higher-level analyses. Here we use the Seaborn histplot and countplot to plot the distributions of our continuous and categorical features.