ChatGPT UseCase #3 - Chart Suggestions

As a Data Analyst, I still find new ways to use ChatGPT in my day-to-day.

One such thing is generating quick chart ideas for my mock-up Dashboard

ChatGPT can be a valuable tool in assisting users to choose the right chart for data visualization

In this issue, I’m going to outline the process of how exactly I do this

1/ Context

Provide Chatgpt about the specific requirements for the data visualization.

This could include the purpose of the visualization, the type of data they want to represent, the target audience, and any specific insights they want to convey.

Example User Input: "I have sales data for the past year and want to create a chart to show the sales trends over time. What type of chart would be suitable for this?”

2/ Analyzing Data Characteristics

Based on the user's input, ChatGPT can analyze the characteristics of the data and provide a better response for chart suggestion

Also mention the data format (e.g., time-series, categorical, numerical), the data range, and the number of data points available.

This analysis will help determine the best-suited chart types for the given data.

Example User Input: "The sales data is a time series with monthly values for each product category."

3/ Recommending Suitable Chart Types

Taking into consideration the user's requirements and the data characteristics, ChatGPT can provide a list of suitable chart types along with explanations of each type's strengths and weaknesses.

It will highlight which charts are more effective for visualizing trends over time and comparing multiple categories.

Example Output from ChatGPT: "In summary, for your sales data with monthly values for each product category, a multi-line chart is the most suitable chart type to present the sales trends over time and gain insights into the performance of individual product categories throughout the past year"

4/ Presenting Visualization Examples

To aid the user in visualizing the recommendations, ChatGPT can provide simple examples of each chart type based on the user's data.

This will help the user better understand how the data will be represented in each chart and make an informed decision.

5/ Encouraging Iterative Exploration:

Finally, ChatGPT can encourage users to explore various chart options iteratively.

It might suggest experimenting with different charts and gathering feedback from the target audience to refine the visualization further.

By following this approach, ChatGPT can assist users in making informed decisions when selecting the right chart for data visualization, ensuring that the visual representation best suits their specific requirements and data characteristics.

Tweet of the week

From this week we will have a new section called Tweet of the Week which will showcase the most value-adding tweet from my Twitter

This week’s Tweet of the week is Python study plan for Data Science

I have designed a detailed study plan for beginners to learn Python for data science with a time frame of 3 months but you need to dedicate 7 hours a week.