C++ Temperature Time Series Analysis

Overview

This project analyzes temperature time series data using C++.
It demonstrates C++ features like STL algorithms, lambdas, const-correctness, file I/O, and modular design.

The goal is to process environmental/meteorological data, calculate statistics, and produce results that are useful for analysis or visualization.

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Features

Current Capabilities

• CSV parsing for time series data (datetime,value)
• Compute overall statistics:
  • Mean temperature
  • Minimum and maximum temperature
• Sliding window statistics:
  • Mean, min, max with associated datetimes
• Print first/last few data points
• Robust error handling for empty datasets

New Feature: Daily Statistics

• Computes daily min, max, mean, range from input data
• Calculates daily anomaly (daily mean minus overall mean)
• Saves results to results/daily_stats.csv
• Designed for meteorological analysis and further processing

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Usage

1. Place input CSV files in data/
2. Compile the project: g++ -std=c++20 src/main.cpp src/statistics.cpp src/csv_reader.cpp -o timeseries
3. Run the program: ./timeseries data/temperature.csv
4. Check daily statistics output in results/daily_stats.csv

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Project Structure

cpp_temperature_timeseries/ ├── src/ # C++ source code ├── include/ # Header files ├── data/ # Input CSV files ├── results/ # Processed output (daily stats) ├── build/ # Optional build directory └── README.md