A web UI for CausalImpact
Analyze data with real-time insights
Explore and analyze data with insights and visualizations
Analyze and visualize CSV data with AI insights
Analyze sentiments in CSV/XLSX files
Analyze review data to generate visual insights and word clouds
Analyze datasets and generate insights
Fast and easy data exploration tool
Analyze your data and get insights
Visualize and analyze data using a CSV file
Accepts CSV, XLS, XLSX, JSON, XML, TXT. Try our demo!
Analyze data to extract meaningful insights
Transform data into visual insights
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.