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"Corona Data Analysis" is a project aimed at exploring and visualizing COVID-19 data to understand the pandemic's trends and impacts globally. Utilizing a dataset that includes confirmed cases, deaths, and recoveries across various provinces and countries, this project employs data analysis techniques to derive meaningful insights.
This project analyzes the Lok Sabha election results to provide insights into the distribution of seats among various political parties. The analysis includes:
Retail Price Optimization focuses on determining the best prices for products to maximize profitability while balancing customer demand, competitive positioning, and business goals. The objective is to adjust prices based on market trends, customer behavior, and sales data to optimize outcomes such as revenue, margin, and market share.
Sales forecasting plays an important role in business development. Regardless of the size of a business or the number of salespeople, accurate sales forecasting can have a significant impact on all aspects of sales management, including planning, budgeting, and determining sales.
This project aimed to analyze FDI data from 2000 to 2017 to understand investment trends across various sectors in India. By employing advanced data visualization and statistical techniques, we were able to uncover significant patterns and provide forecasts for future investments.
Arduino MKR Projects for Schools is a colourful entry-level resource, which introduces learners to the exciting world of microcontrollers, the Internet of Things and Data Science. Learners use both simulators and physical devices to build systems and solve real-life problems.
Electoral Bond Data Analysis Using Python : This repository contains a comprehensive analysis of electoral bonds in India using Python. The project aims to understand the distribution, trends, and impact of electoral bonds on political funding. It includes data cleaning, exploratory data analysis, visualization, and reporting.