This repository contains Python code for analysing a dataset of weather measurements.
The data includes daily weather measurements such as temperature, humidity, dew point, barometric pressure, wind speed, gust speed, and precipitation. The analysis includes:
- Calculating standard deviations of various measurements
- Determining the 50th and 75th percentile of average temperature
- Calculating the Pearson correlation between average dew point and average temperature
- Finding the month with the lowest average humidity
- Determining the month with the highest median for maximum gust speed
- Calculating the average temperature between certain date ranges
- Determining the range of average temperature for a specific month
- Finding the day with the highest difference between maximum and minimum pressure
- Counting the number of days with a barometer reading equal to the median of all readings
- Counting the number of days where the average temperature is within one standard deviation of the mean average temperature
To run this project, you will need to install the following Python packages:
pip install pandas numpy scipy
Clone the repository to your local machine. Load your data into a pandas DataFrame. Run the Python script to analyze your weather data.