- Identifying Project Stakeholders
- The Impact of AI on Stakeholder Expectations
- Stakeholder Analysis with AI
- Engaging Stakeholders through AI-Driven Communication
- AI as a Stakeholder for Project Management?
- Ethical Considerations and Professional Responsibilities
- Key Points to Remember
- Technical Guide
This chapter is from the book
This chapter is from the book
This chapter is from the book
Technical Guide
Here’s a step-by-step guide to set you up to use the ChatGPT Advanced Data Analysis tool (formerly Code Interpreter) to create graphs and visual data in status reports for stakeholders.
2.1 What Is the ChatGPT Advanced Data Analysis Tool?
ChatGPT Advanced Data Analysis is a powerful feature developed by OpenAI that allows the AI model, ChatGPT, to execute Python code. This feature is integrated into the chat environment in a stateful Jupyter notebook, providing an accessible and user-friendly way to perform real-time code execution, data analysis, and visualization tasks.
Advanced Data Analysis has many potential use cases, especially in project management. Beyond Python code, it can interact with a variety of data sources such as Microsoft Excel and comma-separated values (CSV) files. It can generate a wide range of visuals, including bar graphs and pie charts, making it an incredibly versatile tool to generate data-driven insights.
2.2 Enabling Advanced Data Analysis for ChatGPT
To access Settings, find your username on your ChatGPT account. Click the ellipsis icon (three dots) and then click Settings.
On the Settings page, click Beta Features.
In the Beta Features section, you’ll see the option Advanced data analysis. Click the toggle switch to turn it on (Figure 2.4).
FIGURE 2.4 Enabling Advanced Data Analysis under Beta Features
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2.3 Uploading a File with Advanced Data Analysis
As a project manager, you’re likely dealing with a lot of data, stored in Excel files or other similar formats.
ChatGPT can analyze this data directly. All you need to do is upload your Excel file containing the project data to ChatGPT. Once the file is uploaded, ChatGPT can read the data and begin the analysis process.
Start a New Chat. Choose GPT 4 as your AI model. From the drop-down menu that appears, select Advanced Data Analysis (Figure 2.5).
FIGURE 2.5 Selecting Advance Data Analysis (formerly Code Interpreter) in a new chat
In the chat window, click the button that looks like a plus sign (+) to upload a file that contains your project data (Figure 2.6).
FIGURE 2.6 Uploading a file
To create a prompt, type your request for ChatGPT. For example, you might ask it to make a graph or chart from the data that you have uploaded.
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From this uploaded data, ChatGPT can generate various types of data visuals, including bar graphs and pie charts.
Bar graphs are excellent for comparing different groups or tracking changes over time. For example, you might want to compare the number of tasks completed by each team member. All you need to do is tell ChatGPT what you want to compare, and it can generate a bar graph for you.
Pie charts are ideal for showing the proportions of a whole. For instance, you might want to see how your project budget is distributed across different areas. Again, simply tell ChatGPT what you want to visualize, and it can create a pie chart based on your project data.