Anabolic Steroids Dataset

Applications of the Dataset

Despite its compact size of around 50 entries, this dataset offers significant opportunities for analysis and insight generation across multiple domains:

• Exploratory Data Analysis (EDA):
  • Explore patterns between therapeutic and non-therapeutic use cases.
  • Analyze correlations between molecular mass and reported adverse effects.
  • Visualize the historical progression of anabolic steroid formulations.
• Research and Domain Insights:
  • Investigate the development of steroid formulations over the decades, from the 1930s to modern times.
  • Study trends in medicinal benefits versus misuse potential for performance enhancement.
• Educational Applications:
  • Serve as a learning tool for data cleaning, visualization, and analysis exercises.
  • Provide insights into the chemical and pharmacological characteristics of anabolic steroids.

Dataset Features and Column Details

The dataset includes the following attributes:

1. Scientific Name: The chemical or scientific name of the steroid (e.g., Testosterone).
2. Trade Name: The popular or brand name under which the steroid is commonly marketed (e.g., Testoviron).
3. Therapeutic Use: Approved medicinal applications, such as treating anemia or hormone replacement therapy.
4. Misuse Purpose: Common non-medical uses, including performance enhancement and muscle building.
5. Adverse Effects: Recorded side effects associated with steroid use, such as liver damage or hormonal imbalances.
6. Historical Context: A summary of the steroid’s development and approval timeline (e.g., year introduced, regulatory milestones).
7. Relative Molecular Mass (g/mol): The molecular weight of the compound, critical for chemical and pharmacological research.