Student Result Analysis Project using Python

Plotly for Rust

an extensive Qt5 & Qt6 Plotter framework (including a feature-richt plotter widget, a speed-optimized, but limited variant and a LaTeX equation renderer!), written fully in C/C++ and without external dependencies

Website - Simple console ascii chart (lines and bars) - for node, browser and terminal, no dependencies.

Wisteria Dataviz Library

Simple console ascii chart (lines and bars) - for node, browser and terminal, no dependencies.

The most complete library for Bar, Line, Area, Pie, Donut, Stacked Bar and Population Pyramid charts in React Native. Allows 2D, 3D, gradient, animations and live data updates.

This project demonstrates how to harness the power of R to create visually compelling and insightful data visualizations. By using a range of visualization techniques—from classic 2D graphs to advanced 3D and interactive visuals—this repository highlights the importance of proper data visualization in uncovering meaningful insights across datasets.

FL Chart is a highly customizable Flutter chart library that supports Line Chart, Bar Chart, Pie Chart, Scatter Chart, and Radar Chart.

Roxiler company task.

cowin dashboard app using react displays the data using graphs

JavaScript SDK for accessing streaming market data via WebSockets

Task 1 of the Prodigy InfoTech Data Science Internship

This is about the Financial Loan Statement of a Bank of United Sates. In this I have analyzed total loan application with various types of borrowers on the basis of month, state, term, employment length, purpose, home ownership, good loan and bad loan. This will help us to get more meaningful information from this report and available insights.

This project is about the Amazon Sales Analysis Report. The motive of this report is to analyze its Sales report from the period 2012 to 2015. This report and dashboard is helpful for gaining knowledge about the circumstances of the Amazon Company and to do comparison between its various categories, regions and countries.

This Project includes Country-wise Covid-19 information. In this we have all the information related to Active Cases, Death Cases, Confirmed Cases and Recovered Cases. It consist of total 187 Countries and shows the comparison between the countries based on the Covid Data. This Project is just for knowledge purpose about Covid-19 between countries.

Typeface for rendering waveform/data

This project contains the Data Analysis for epi_recipes dataset from kaggle. The data cleaning,processing and visualization is done by using different python libraries. Different steps taken during data cleaning process are removing duplicates, removing unnecessary columns, handling null/blank values, handling the outliers in data.

Mainly files from learning to use datasets and do data analysis with R

Data visualization project using Python to analyze categorical and continuous variables. Includes bar charts, histograms, and scatter plots. Libraries used: pandas, matplotlib, and seaborn.