Time Series Analyzer

Analyze time series data with visualization, trend detection, seasonal decomposition, and forecasting capabilities.

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About This Tool

This comprehensive time series analyzer allows you to upload CSV files or manually input time series data to perform detailed analysis. The tool provides interactive visualization with zoom/pan controls, calculates key statistical metrics (mean, variance, autocorrelation), performs seasonal decomposition, computes moving averages, and generates simple forecasts. All calculations are performed with accurate statistical methods and results are presented in an easy-to-understand format with downloadable charts.

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How to Use

Upload a CSV file with two columns (date/time and values) or paste your data manually
Select analysis type: Basic Statistics, Trend Analysis, Seasonal Decomposition, or Forecasting
Configure parameters like moving average window or forecast periods
Click 'Analyze Time Series' to process your data
View interactive charts and detailed statistical results
Download charts as PNG or export results as CSV

Frequently Asked Questions

Find Quick Answers

What format should my CSV file have?

Your CSV should have two columns: the first column for dates/timestamps (YYYY-MM-DD format recommended) and the second column for numerical values. Include headers like 'Date' and 'Value' for automatic detection.

What statistical methods are used for forecasting?

The tool uses simple exponential smoothing for basic forecasting. For more advanced methods, the backend implements ARIMA modeling when sufficient data points are provided.

Can I analyze multiple time series at once?

Currently, the tool analyzes one time series at a time. For multiple series, upload them separately or combine them into a single CSV with multiple value columns.

How many data points can I analyze?

The tool can handle up to 10,000 data points efficiently. For larger datasets, consider sampling or using the CSV upload feature for better performance.

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