Plan and Document Plot Types and Axis Details for Temperature Change Visualizations

[D-Mielewczyk]

Develop a detailed plan and documentation for the visualizations that will be created to show temperature changes over time. This plan should identify the types of plots to be used and specify how each data axis should be configured. This will help in writing the necessary queries to extract the required data for each plot.

Requirements:

1. Identify Plot Types:

   • Determine the most appropriate types of plots for visualizing temperature changes (e.g., line plots, bar charts, heatmaps).

2. Detail Axis Configurations:

   • Define the data to be used on each axis for every plot.
   • Specify axis labels, units, and scales (e.g., linear, logarithmic).

3. Documentation:

   • Create a detailed document outlining the planned visualizations.
   • Include a description of each plot, the data it will display, and the rationale for choosing that plot type.
   • Provide examples or sketches of the expected visualizations.

Details:

• Ensure the documentation includes clear and concise descriptions of each plot type and its purpose.
• Provide detailed information on the data queries needed to generate the plots.
• Include any assumptions or considerations taken into account during the planning phase.

Acceptance Criteria:

• A comprehensive document that details the plot types and axis configurations for the visualizations.
• Clear descriptions and justifications for each chosen plot type.
• Detailed axis information, including labels, units, and scales.
• Documentation is committed and pushed to the GitHub repository.

Additional Notes:

• Collaborate with team members or data visualization experts if needed to accurately plan the visualizations.
• Ensure the document is kept up-to-date with any changes to the data or visualization requirements.

Example of Documentation Structure:

Visualization Plan Document

1. Introduction

   • Purpose of the visualizations
   • Overview of the data being visualized

2. Plot Types and Descriptions

   • Line Plot:
     • Purpose: To show temperature trends over time for selected areas.
     • X-Axis: Time (Years)
     • Y-Axis: Temperature (°C)
     • Details: Each line represents a different area.
   • Bar Chart:
     • Purpose: To compare temperature changes between different areas.
     • X-Axis: Areas
     • Y-Axis: Temperature Change (°C)
     • Details: Bars represent the magnitude of temperature change for each area.
   • Heatmap:
     • Purpose: To visualize temperature changes across a geographic grid.
     • X-Axis: Longitude
     • Y-Axis: Latitude
     • Details: Colors represent the degree of temperature change.

3. Axis Configurations

   • Line Plot:
     • X-Axis: Time (Years), Range: 1980 - Present, Scale: Linear
     • Y-Axis: Temperature (°C), Range: Variable based on data, Scale: Linear
   • Bar Chart:
     • X-Axis: Areas, Categorical
     • Y-Axis: Temperature Change (°C), Range: Variable based on data, Scale: Linear
   • Heatmap:
     • X-Axis: Longitude, Range: Based on dataset, Scale: Linear
     • Y-Axis: Latitude, Range: Based on dataset, Scale: Linear

4. Data Queries

   • Queries needed to extract data for each plot type.
   • Example SQL or PySpark queries.

5. Conclusion

   • Summary of the visualization plan.
   • Next steps and considerations for implementation.

This detailed plan will guide the creation of the visualizations and ensure that all necessary data is correctly extracted and displayed.

[D-Mielewczyk]

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