Beginner-Friendly Python Data Analysis

I am building a small learning project for my Diploma in ICT and need a clear, well-commented Python solution that reads a JSON dataset, performs descriptive statistics, and presents the results in a way a newcomer can understand.

Here is what I have in mind:
• The script should load a supplied JSON file, validate its structure, and extract numerical fields automatically.
• Compute key descriptive measures such as count, mean, median, mode, min-max range, standard deviation, and any other basic metrics that add insight.
• Display the findings in a tidy console table; a simple Matplotlib or Seaborn histogram for at least one variable would be a plus but not mandatory.
• Keep everything beginner-friendly: straightforward function names, docstrings, and inline comments explaining each step.
• Include a short markdown guide that walks me through running the code, expected output, and how to replace the sample JSON with my own.
• After delivery, help me test with two example files and fix any errors I might run into so the script runs flawlessly on a fresh Python 3.x install with only standard libraries (plus pandas, numpy if you find them useful).

As long as the code is clean, logically structured, and easy to extend, I’m happy.