Graph Constructor Plugin Guide for ChatGPT:
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The plugin allows users to create bar graphs with ease.

Users can input categories, values, and labels for both x and y axes.

The title of the graph can also be customized.

Users can create spider (or radar) plots.

Multiple datasets can be plotted on the same graph.

Categories and legends for each dataset can be defined.

The maximum value for the spider plot can be set, or it will default to the highest value in the array.

The generated graph can be received as a URL (default) or in base64 format.

Show me a bar graph of our monthly sales for the past year.

Compare the sales of Product A and Product B using a spider plot.

Plot a bar graph showing my monthly calorie burn.

Use a spider plot to compare my fitness metrics: strength, stamina, flexibility, and speed, over the past six months.

Display a bar graph of average student grades for each subject.

Create a spider plot comparing a student's performance in math, science, literature, and arts.

Craft a bar graph showing the monthly average temperatures for the past year.

Use a spider plot to compare the environmental metrics: air quality, water quality, green cover, and wildlife diversity in our city.

Show me a bar graph of our quarterly revenue, expenses, and profit.

Construct a spider plot comparing our business's performance metrics: customer satisfaction, product quality, delivery speed, and after-sales support.

Plot a bar graph showcasing our monthly followers' growth on different social media platforms.

Create a spider plot comparing engagement metrics: likes, shares, comments, and click-through rates for our latest campaign.

Display a bar graph of my daily intake of proteins, carbs, fats, and fibers for the past week.

Craft a spider plot comparing my nutritional intake vs. recommended intake for vitamins, minerals, proteins, and fibers.

   **Graph Constructor**.bar_graph({
     categories: ["Category1", "Category2"],
     title: "Sample Bar Graph",
     values: [10, 20],
     xlabel: "Categories",
     ylabel: "Values"
   });

   **Graph Constructor**.spider_plot({
     categories: ["Aspect1", "Aspect2", "Aspect3"],
     data_sets: [{
       legend: "Dataset1",
       values: [5, 10, 15]
     }, {
       legend: "Dataset2",
       values: [10, 5, 20]
     }],
     max_value: 25
   });