Tweets Analysis Dashboard
A Dashboard application for analyzing and visualizing covid tweets. The dashboard application is developed over Django framework using visualization JavaScript like PlotlyJS. Dashboard also contain methodology of scrapping and analyzing data.
Overview
The Tweets Analysis Dashboard is a web application developed using the Django framework. Its main purpose is to analyze and visualize COVID-19 related tweets. The application includes various features such as data scraping, data analysis, and interactive visualizations using PlotlyJS. Additionally, the project includes notebooks that provide further insights and details.
Features
- Data Scraping: The dashboard includes a methodology for scraping data from Twitter. This allows users to collect COVID-19 related tweets for analysis.
- Data Analysis: The application provides tools to analyze the collected data. Users can explore patterns, trends, and sentiments within the tweets to gain valuable insights.
- Interactive Visualizations: The dashboard leverages JavaScript library PlotlyJS to create interactive and visually appealing charts and graphs. This helps users to better understand and visualize the data.
Summary
The Tweets Analysis Dashboard is a powerful tool for analyzing and visualizing COVID-19 related tweets. Developed using the Django framework, it offers features such as data scraping, data analysis, and interactive visualizations. With its user-friendly interface and comprehensive insights, this dashboard can be a valuable asset in understanding the sentiments and patterns surrounding COVID-19 on Twitter.