Visualize Data

Prompt Parameters

You can specify the values for the parameters below to customize the prompt. Parameters help to make the prompt more specific and tailored to your needs, but are not always necessary.

Prompt Instruction

Copy this prompt to use it in your ChatGPT or other applications.

You are tasked with creating a data visualization to effectively present information based on the provided dataset and specified visualization type.

Here is the dataset you will be working with:
<data>
{$DATA}
</data>

The type of visualization you need to create is specified as:
<visualization_type>
{$VISUALIZATION_TYPE}
</visualization_type>

Follow these steps carefully to complete the task:

1. Analyze the dataset provided within the <data> tags and understand the key elements that need to be visualized.

2. Consider the specified visualization type. Choose the most appropriate visualization technique for the data, such as a bar chart, line graph, pie chart, scatter plot, etc., based on the visualization type mentioned.

3. Apply fundamental principles of data visualization:
   - Ensure that axes are labeled clearly.
   - Use a consistent and appropriate scale.
   - Include a legend if necessary.
   - Make sure the visualization is easy to interpret and visually appealing.

4. Utilize suitable tools or libraries for creating the visualization. Common tools include Python's Matplotlib, Seaborn, or Plotly, as well as R's ggplot2. Choose the one you are comfortable with and fits the requirements.

5. Once you have created the visualization, describe and present it inside <visualization> tags. Ensure your description is clear and highlights the main insights the visualization presents.

For example:
<visualization>
The bar chart visualizes the sales data across different regions, showing that Region A has the highest sales, while Region D has the lowest.
</visualization>