Analyze search trends over time for specific terms
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prediction
visualizing deep models for stock prediction
Predict stock prices and trade using LSTM model
A research tool about Indian stock market
Visualize stock price targets and trends
Predict future sales using CSV data and date range
Real-time stock trend prediction using news sentiment analys
Forecast stock prices using RNN, LSTM, and GRU models
Sample exercise using prophet and streamlit for stock predic
Forecast stock prices using historical data
Visualize stock trends with Bollinger Bands and predict future prices
Shiny for R is a powerful web framework that allows users to create interactive and intuitive web applications directly from R. The Shiny for R template is a pre-designed structure specifically tailored for predicting stock market trends by analyzing search trends over time for specific terms. It provides a foundation for building data-driven applications with minimal setup, enabling users to focus on analysis rather than coding from scratch.
What programming skills are required to use Shiny for R?
You need basic knowledge of R programming and familiarity with the Shiny framework. Advanced statistical skills are optional but recommended for deeper customization.
Can I customize the visualizations and dashboards?
Yes, Shiny for R allows for extensive customization of visualizations and dashboards using R's graphics libraries like ggplot2 or plotly.
Is the template compatible with all web browsers?
Shiny applications are generally compatible with modern web browsers like Chrome, Firefox, and Safari. However, some advanced features may require specific browser versions.