How to Make a Time Series Plot with ChatGPT

Creating a time series plot is one of the best ways to see how a metric changes over time, whether you're tracking daily website traffic, monthly sales, or stock prices. In the past, this meant wrestling with spreadsheet formulas or learning a coding language like Python. Now, you can use ChatGPT's Advanced Data Analysis feature to do the heavy lifting for you. This article will show you exactly how to do it, step-by-step.

Graphed

Build AI Agents for Marketing

Build virtual employees that run your go to market. Connect your data sources, deploy autonomous agents, and grow your company.

Build Your First Agent

What Exactly is a Time Series Plot?

A time series plot is a simple line chart that shows data points connected in chronological order. The horizontal axis (x-axis) always represents time, and the vertical axis (y-axis) represents the value of the metric you are measuring. It’s an incredibly effective way to spot trends, seasonality, and unusual spikes or dips in your data at a glance.

You see them everywhere:

• Tracking your e-commerce store's revenue by day.
• Monitoring the number of new user sign-ups per week.
• Visualizing Google Analytics traffic over the last quarter.
• Observing changes in ad spend and return over a campaign's lifetime.

By mapping your data over time, you can move from just looking at raw numbers to truly understanding performance and behavior.

Why Use ChatGPT for Data Visualization?

While tools like Excel and Google Sheets are great, using ChatGPT to build charts can feel like having a data analyst at your beck and call. It's particularly useful for quickly generating visuals without having to manually set up charts or write code from scratch. The process is conversational, fast, and opens up data analysis to people who aren't spreadsheet wizards or programmers.

However, it's important to understand what ChatGPT is - and isn't. It's an assistant that writes and executes code on your behalf based on your instructions. It doesn't see your chart like a human does. It's also critical to remember a huge caveat: never upload sensitive, confidential, or personally identifiable information into ChatGPT. For this process, always use anonymized or sample data.

AI Agents for Marketing

Crash Course

Graphed

Free PDF · the crash course

AI Agents for Marketing Crash Course

Learn how to deploy AI marketing agents across your go-to-market — the best tools, prompts, and workflows to turn your data into autonomous execution without writing code.

Download the PDF

Step 1: Get Your Data Ready for ChatGPT

Before you even open ChatGPT, the most important step is preparing your data correctly. Just like giving clear directions, providing well-structured data ensures you get the right result. For time series analysis, ChatGPT works best with a simple CSV (Comma-Separated Values) file.

Your data needs just two core columns:

1. A Time Column: This should contain your dates or timestamps. For best results, use a standard format like YYYY-MM-DD (e.g., 2023-11-25) or YYYY-MM-DD HH:MM:SS.
2. A Value Column: This contains the numbers you want to plot over time (e.g., Sales, Users, Clicks).

Here’s an example of a perfectly structured CSV file for monthly website traffic:

date,users 2023-01-01,12500 2023-02-01,13100 2023-03-01,15250 2023-04-01,14800 2023-05-01,16500 2023-06-01,18300 2023-07-01,17900 2023-08-01,18100 2023-09-01,19500 2023-10-01,21300 2023-11-01,24500 2023-12-01,28000

Save this in a plain text editor with a .csv extension (e.g., website-traffic.csv). Keeping headers simple, lowercase, and without spaces (use an underscore if needed) will make your prompts easier to write.

Step 2: Start a Conversation in ChatGPT

To create visualizations, you'll need a ChatGPT Plus subscription, which gives you access to the Advanced Data Analysis model. Once you have that enabled, the process is straightforward.

Upload Your Data File

At the bottom of the chat interface, look for a little paperclip icon. Click this to upload the CSV file you prepared in the previous step. ChatGPT will acknowledge the file is uploaded and ready for your instructions.

Graphed

Build AI Agents for Marketing

Build virtual employees that run your go to market. Connect your data sources, deploy autonomous agents, and grow your company.

Build Your First Agent

Write a Clear and Specific Prompt

The quality of your chart depends entirely on the quality of your prompt. Vague instructions lead to vague or incorrect results. Be as descriptive as possible.

Start with a simple prompt that clearly states your goal, identifies your columns, and provides a title.

Example of a good starting prompt:

Using the uploaded file 'website-traffic.csv', create a time series plot. Use the 'date' column for the x-axis and the 'users' column for the y-axis. The title of the chart should be 'Monthly Website Users in 2023'.

ChatGPT will process your request, write Python code using libraries like Matplotlib or Seaborn behind the scenes, execute it, and then present you with the final image of your time series plot. It’s that simple!

Step 3: Refine and Customize Your Plot

Your first chart might not be perfect, and that's okay. The real power of ChatGPT is its conversational nature. You can now act like an art director, asking for changes and refinements in plain English.

Think of it as an iterative conversation. You don't need to write a brand new prompt every time. Just follow up with edits.

Examples of refinement prompts:

• "This looks good. Can you make the line color a dark orange?"
• "Change the y-axis label to 'Total Monthly Users'."
• "Add grid lines to the background to make the values easier to read."
• "Let's change the chart style to look more like 'ggplot'."
• "Annotate the highest point on the graph with its exact value."

ChatGPT will take each command and generate a new version of your plot, allowing you to tweak it until it’s exactly what you need.

Doing More With Your Time Series Data

Once you’ve mastered the basics, you can ask for more advanced analysis and overlays to uncover deeper insights. This is where ChatGPT really shines, as it can perform complex calculations that would require multiple steps in a spreadsheet.

Adding a Moving Average

Time series data can often be "noisy," with lots of daily or weekly fluctuations. A moving average helps smooth out these fluctuations to reveal a clearer long-term trend.

Prompt example:

Add a 3-month moving average to the plot to help visualize the trend. Make the original user line a light gray dashed line and the moving average a bold blue line.

AI Agents for Marketing

Crash Course

Graphed

Free PDF · the crash course

AI Agents for Marketing Crash Course

Learn how to deploy AI marketing agents across your go-to-market — the best tools, prompts, and workflows to turn your data into autonomous execution without writing code.

Download the PDF

Plotting Multiple Lines

You can also compare two different time series on the same plot. Just make sure your CSV contains columns for both metrics.

Example CSV structure:

Date,paid_traffic,organic_traffic 2023-01-01,3500,9000 2023-02-01,4200,8900 2023-03-01,5100,10150 ...

Prompt example:

Using the new file, create a time series plot that shows both 'paid_traffic' and 'organic_traffic' over time on the same chart. Make the paid traffic line blue and the organic traffic line green. Include a legend so it's clear which is which.

Common Pitfalls and How to Fix Them

While the process is powerful, you might run into a few common issues. Here’s how to troubleshoot them:

• Issue: Dates are read incorrectly. This usually happens if your date format is inconsistent or non-standard.
• Issue: The chart looks wrong or is missing data. This often stems from a vague prompt.
• Issue: ChatGPT gives an error. Errors can happen if the data is malformed (e.g., missing values, text in numeric columns).

Final Thoughts

Using ChatGPT to create a time series plot transforms a once-technical task into a simple, conversational process. It's a fantastic tool for quick, one-off analyses and for people who want to visualize data without needing to become code experts. By preparing your data properly and writing clear prompts, you can generate insightful charts with ease, helping you spot trends and tell a clear story.

While ChatGPT is great for building visualizations from a static CSV file, a typical marketing or sales team needs live, real-time insights from across all of their different tools. This is where new tool platforms offer such an advantage. We built Graphed because we wanted to create the same effortless natural language experience you see with ChatGPT, but for your live business data. Instead of uploading CSVs, you connect your tools like Google Analytics, Shopify, Salesforce, and Facebook Ads once. Then, you can ask questions and build dashboards in plain English that automatically stay up-to-date, so you spend your time making decisions – not hunting for data.