A web UI for CausalImpact
Predict crop yields based on weather, soil conditions, and a
Analyze and visualize CSV data with AI insights
Analyze CSV data with questions
Load and analyze CSV data using Pandas
Transform data into visual insights
Analyze datasets and generate insights
Explore and visualize CSV data
Analyze CSV data and generate reports
A unified service, "EveryChat," that allows you to choose an
Conversational AI agent built for Retail Domain
Analyze your data and get insights
Need to analyze data? Let a Llama-3.1 agent do it for you!
Causalimpact Web Appp is a web-based interface designed to convert CSV data into actionable insights. It serves as a user-friendly tool for analyzing causal impact in time series data. Whether you're a data scientist or a non-expert, this app simplifies the process of understanding how events affect trends over time.
What data format does Causalimpact Web Appp support?
Causalimpact Web Appp supports CSV files. Ensure your data includes a date column and a value column.
How do I interpret the results?
The results show the expected outcome without the intervention (counterfactual) and the actual outcome, allowing you to compare and measure the impact of the event.
Can I customize the analysis settings?
Yes, you can customize settings such as the analysis period, intervention point, and algorithm parameters to suit your specific needs.