“`python. for value in data: total_sum += value “` 4. Calculate the mean by dividing the total_sum by count. “`python. mean = total_sum / count. print(“Mean:”, mean) “` Using Built-In Functions and ...

Explore Financial Insights: Python script analyzes financial data using Pandas, NumPy, Matplotlib, Seaborn. Detects missing values, duplicates; visualizes via histograms, scatter plots, heatmaps.

Dot plots are not included in Seaborn, but you can use a little tweak to the scatterplot and convert it with few simple steps. If you are interested just in the code, you should check the Python ...

Python's simplicity and readability, combined with its extensive libraries, make it an ideal language for data analysis.Among these libraries, Pandas, NumPy, and Matplotlib stand out due to their ...