In two separate Python scripts, I perform financial analysis of csv datasets. This analysis features two examples, each with a separate dataset, and each exploring different Python methods and data structures.
The two examples are as follows:
PyBank: where I utilize a Python script for analyzing the financial records of a fictional company.
PyRamen: The purpose of this code is to analyze a business’s financial performance by cross-referencing their sales data with internal product data to figure out revenues and costs for the year.
https://benjaminweymouth.github.io/PyBank-Python-Data-Structures-Analysis/
Financial Analysis in Python Examples: PyBank
This analysis is a Python script for analyzing the financial records of a fictional company.
Financial Analysis in Python Examples: PyRamen
This script is mean to analyze a business’s financial performance by cross-referencing their sales data with internal product data to figure out revenues and costs for the year.
It utilizes nested loops to iterate through the dataset
And provides an analytical report at the concluding stage of the analysis:
