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This is a no-code data analysis website built in React. The users can upload their dataset and perform analysis including summary statistics and a variety of data visualisation options. Users also have the option of downloading their analysis as an image on their machine.
This Node.js script automates the process of downloading PDF files from the BSE India API based on specific search criteria, such as category, date range, and type. It uses Axios for HTTP requests and file handling, allowing users to fetch and store PDFs locally for further analysis or archiving purposes.
Local version of the Airbnb Data Analysis Research project. All produced report files can be found within the "doc" folder. Code files, datasets used, and additional files can be found in the "project-wondrous-raichu-main" folder. The doc folder was moved out of the project-wondrous folder for easier access.
A different way to visualize and analyze COVID-19 cases using various tools such as ReactJS, Tableau, Python, Google Data Sheet and Ubuntu Servers. We created a platform based on modern databases, visualization, web design, virtual machines, signal processing, and data analysis. We analyzed COVID-19 data on our platform based on Robert Edgar Hop…
JavaScript Experiment Project: collected and processed NASA data of all recorded flights in 2015 => processed the data and mapped each flight from its origin to the destination.
This app is meant to analyze Data and predict trends and patterns in order to predict future trends. NOTICE**SQL Not Recognized As A Programming Language On GitHub .SQL files are included**
In India, particularly in states like Gujarat, school dropout rates are a major concern. To help address this issue, we developed a machine learning-based solution that analyzes the key factors behind student dropouts.