Create Beautiful Plots Using Ready PySpark Queries and Plotly

[D-Mielewczyk]

Utilize the already prepared PySpark queries to extract the necessary data and use Plotly to create visually appealing plots. The plots should align with the visualizations detailed in the documentation and should be both informative and aesthetically pleasing.

Requirements:

1. Data Preparation:

   • Execute the ready PySpark queries that have been prepared to extract and format the data for each visualization.
   • Ensure the data is correctly prepared and available for plotting.

2. Create Plots with Plotly:

   • Use Plotly to create the visualizations, including line plots, bar charts, and heatmaps as detailed in the documentation.
   • Ensure the plots are visually appealing, with appropriate labels, legends, and titles.
   • Customize the plots to enhance readability and aesthetics (e.g., color schemes, fonts, layouts).

3. Save and Document Plots:

   • Save the generated plots in appropriate formats (e.g., PNG, HTML).
   • Include the plotting scripts in the repository with clear documentation.
   • Provide instructions on how to run the scripts and generate the plots.

Details:

• Ensure the plots accurately represent the data and convey the intended information.
• Provide clear and concise documentation and comments within the plotting scripts.
• Include instructions on any dependencies or setup required for running the scripts.

Acceptance Criteria:

• Beautiful and informative plots are created using Plotly.
• The plots are saved, and the plotting scripts are well-documented.
• The code is committed and pushed to the GitHub repository.

Additional Notes:

• Collaborate with team members to ensure the plots meet the requirements.
• Ensure the scripts and plots are kept up-to-date with any changes to the data or visualization requirements.

[D-Mielewczyk]

Blocked by #6