Weather Forecast Accuracy
A system that evaluates weather forecast accuracy by comparing predicted data with actual conditions — built with Linux and Bash scripting.
- Bash
- Linux
- curl
- grep
- awk
- cut
Project overview
This project involved building a system to evaluate the accuracy of weather forecasts by comparing predicted data with actual weather conditions. I utilized Linux command-line tools and Bash scripting to automate the data collection, processing, and analysis. The system collected real-time weather data from APIs, logged historical temperature data, calculated forecast accuracy automatically, and generated weekly statistics for analysis.
Preview
Project preview
Key features
- Collected real-time weather data using APIs.
- Logged historical temperature data.
- Calculated forecast accuracy automatically.
- Generated weekly statistics for analysis.
Technologies
- Bash
- Linux
- curl
- grep
- awk
- cut
What I learned
I learned how to automate real-world data work with Linux and Bash — pulling API data with curl, processing it with grep, awk and cut, and turning raw logs into weekly accuracy statistics.