A web UI for CausalImpact
Analyze your data and get insights
Explore and visualize CSV data
A unified service, "EveryChat," that allows you to choose an
Analyze data and generate insights using XGBoost
Analyze data to extract meaningful insights
Analyze documents for key insights
Accepts CSV, XLS, XLSX, JSON, XML, TXT. Try our demo!
Load and analyze CSV data using Pandas
Fast and easy data exploration tool
Need to analyze data? Let a Llama-3.1 agent do it for you!
The simpliest tabular data pre-processing tool you need!
a sentiment analysis tool for learning
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.