alaa360 / weather-data-analyzing

The Weather Project

The Weather data has some of Date/Time, Temperature C, Wind Speed, Visibility and Weather.

Using Jupyter Notebook to dig deep in the Weather Dataset. Analyzed and interpreted data from 1000+ weather data records to identify weather in each date.

Installation

Use the package manager pip or use the Conda package manager

pip install pandas
pip install matplotlib

conda install pandas
conda install matplotlib

Usage

import pandas as pd
import matplotlib.pyplot as plt

What does the Data show?

• All the unique 'Wind Speed' values in the data.
• No. of times when the weather was exactly 'Clear'.
• No. of times when the wind speed was exactly 4 km/h.
• Renaming column name from 'Weather' to 'Weather Condition'.
• Calculating the mean of (Visibility).
• All instances when 'Wind Speed is above 24' and 'Visibility is 25'.
• Mean value of each column against each (Weather Condition).
• Maximum and Minimum value of each column against 'Weather Condition'.
• Records when the Weather Condition is fog.
• All Instances when 'Weather is Clear' or 'Visibility is above 40'
• All instances when: "Weather is Clear" and "Relative Hum is greater than 50" OR "Visibility is above 40"

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