Data Science, Pyspark, Data Analytics, Machine Learning, Artificial Intelligence.
plt.hist(values.collect(), bins=100, color='blue', edgecolor='black', alpha=0.5) plt.show() Distribution of closing prices in simulated environments This PySpark code converts simulated closing prices from a Monte Carlo simulation into a DataFrame, then creates and displays a histogram using