Click the Titanic Project link to move on.
Before diving into the analysis, I first explored the dataset to understand the various features and gather basic statistics.
During data exploration, I found that the Palmer Penguins dataset contains the following variables:
| species | island | bill_length_mm | bill_depth_mm | flipper_length_mm | body_mass_g | sex | year |
|---|---|---|---|---|---|---|---|
| Adelie | Torgersen | 39.1 | 18.7 | 181 | 3750 | male | 2007 |
The dataset contains a total of 344 observations and 8 variables.
Visualizing data helps in better understanding and gaining insights. Here are two visualizations I created:
I used R to perform statistical analysis on the Palmer Penguins dataset.
The Welch Two Sample t-test comparing body mass between Adelie and Chinstrap penguins resulted in a t-value of -0.54309, with a p-value of 0.5879. The test did not find a significant difference in the means of body mass between the two groups. The 95% confidence interval for the difference in means is -150.38481 to 85.53284.
The box plots illustrate the distribution of body mass among different species of penguins. The Adelie and Chinstrap penguins have similar body mass, while the Gentoo penguins have a significantly larger body mass compared to both Adelie and Chinstrap.
Based on the summary statistics for selected numerical variables:
These summary statistics provide insights into the distribution and central tendency of the measured variables in the Palmer Penguins dataset.
Watch this video for a proof of concept demonstration that will be replaced with a micro RStudio lesson.
