Using real-world e-commerce data, we’ll build a predictive model that helps understand what drives customer spending. In this project, we’ll explore: Jump to Code and Explanation Regression Plot using actual Values The plot created by sns.lmplot is a regression plot,…
I developed a Python program that fetches financial data for companies using an API, performs detailed financial analysis with key ratios, and saves the results to an Excel file with the help of the openpyxl package. Working on this project…
The Power BI Sales Analysis Dashboard provides detailed sales insights, featuring total sales, product-specific performance, top 5 sales performers, and the least-performing products. Users can refine their analysis by applying filters through an interactive region map. Learning : Visual Level…
Link to Github I use the Kindle reader for my reading, and I often highlight key points in the ebooks. There’s a website, , that sends daily Kindle highlights if you upload your Kindle highlight file to the platform. Previously,…
This is sales forecast made using python package known as prophet . It analyze past trend and forecast according to this . This method is also known as time series forecasting .
This Power BI project involves a variance analysis dashboard designed to compare Actual, Budget, and Forecast values, providing clear insights into performance deviations and trends.
I recently came across population density maps of various countries on LinkedIn, but I noticed there wasn’t one for my own country, India. This sparked a challenge for me, and after numerous trials and errors, I’m thrilled to share the…
This is a dynamic 12-month rolling forecast created on excel that adapts in real-time as per the current date and actual input figures.
I put together this Sales Dashboard using pivot tables and pivot charts. It’s like a super handy tool to look at the sales data from different angles.
I created a dynamic variance analysis dashboard in Excel following a YouTube tutorial. This dashboard changes dynamically according to the selection on a pivot slicer and is made using pivot tables, pivot charts, and sparklines.