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FirstNet-Systems-UK / Python-Weather-Data-Analysis

Explore practical Data Analysis using Python in this project. From data exploration commands to answering specific questions, dive into weather data manipulation, answering queries, and deriving insights. Discover unique values, handle nulls, calculate statistics, and manipulate data with ease
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Enhancement: Implement Mean Calculation for Each Weather Condition #2

Open Nasir-Hussain-Datascientist opened 11 months ago

Nasir-Hussain-Datascientist commented 11 months ago

As a contributor, I propose implementing a function to calculate the mean values for each column against different 'Weather Conditions'. This enhancement will enrich our data analysis capabilities, allowing us to derive deeper insights based on weather variations.

Tasks:

Implement a Python function to calculate mean values per column for distinct weather conditions. Update the project notebook/script with the new function and its results. Test the function with sample data to ensure accuracy. Additional Information:

The code structure can follow the existing functions for statistical analysis. Relevant dataset columns: ['Weather Condition', 'Temperature', 'Humidity', 'Visibility', ...] This enhancement aligns with the project's goal of comprehensive data analysis. This enhancement will provide a more nuanced understanding of how different weather conditions correlate with various parameters, benefiting our overall analysis.

FirstNet-Systems-UK commented 11 months ago

These tasks are assigned to @nasir-hussain-swat we hope we will be happy with his work.