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A New Free AI Tool Makes Creating Charts Easier Than Ever

ChartGen AI promises to change the way we create charts and graphs, making it easier, faster, and more accessible than ever before.
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In today’s data-driven world, the ability to convey insights through compelling visuals is paramount. From business reports to academic research, data visualization plays a pivotal role in making complex information accessible and understandable. However, the journey from raw data to stunning charts and graphs can often be a tedious and time-consuming process, often requiring a deep understanding of not only your data and the business problem at hand but also the intricacies of dozens of data visualization tools and techniques.

Enter ChartGen AI, the groundbreaking new online application from Einblick, an AI-native data notebook based on 6 years of research at MIT and Brown University. ChartGen AI promises to change the way we create charts and graphs, making it easier, faster, and more accessible than ever before. In this blog post, we’ll explore what ChartGen AI can do and why AI-powered chart-making is the next revolution in data visualization.

From Data to Chart in Seconds

Over the past year, so many apps have sprung up claiming to leverage generative AI to speed up work inefficiencies. What sets ChartGen AI apart is how intuitive the UI is, and how quickly you can get results. It’s also completely free, with no account setup required.

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Step 1: Upload Data

You can either upload your dataset or link to a Google Sheet. No need for complex data preparation or formatting.

Step 2: Describe Your Chart

Describe the chart you want in natural language. For example, “Create a pie chart of col_1” or “Plot a histogram of col_2.”

Step 3: Generate Chart

Click “Generate.” That’s it! In just three straightforward steps, you’ll have your chart ready for download as either a PNG or an SVG. If you want to tweak your chart’s appearance, simply add details to your prompt. For instance, “Use a pastel color palette” or “Make the axis labels bigger.”

Why ChartGen AI Matters: Saving Time and Boosting Productivity

Forget about dealing with finicky pivot tables. With ChartGen AI, you can directly upload your dataset or link to a Google Sheet, and get straight to chart creation. ChartGen AI offers customization at your fingertips. Want a specific color palette or more bins in your histogram? Just add a few words to your prompt, and it adapts accordingly.

Rapid Results without Data Preprocessing

ChartGen AI delivers charts in seconds. With ChartGen AI, you can directly upload your dataset or link to a Google Sheet. Say goodbye to data preprocessing, forget about dealing with finicky pivot tables, and get straight to chart creation.

Leverage Generative AI for Impact

Generative AI can be used in a variety of applications, but the space of AI charting is particularly appealing. After all, before you can create a chart, you have to know what it should look like–you have to be able to describe it. It is at this point in the process that ChartGen AI intervenes, and allows you to create visualizations faster than ever before.

Accessibility for All

ChartGen AI democratizes data visualization. It’s user-friendly, making it accessible to those without advanced technical skills, while benefiting those who have the technical skills, but lack the time resources.

Try ChartGen AI Today

If you’re looking to create stunning charts and graphs effortlessly, ChartGen AI should be your go-to tool. Whether you’re a data novice or an experienced analyst, ChartGen AI streamlines the chart making process.

Say farewell to the complexity of charting tools and embrace the simplicity of ChartGen AI. Try it today and experience the power of AI-driven chart creation. Unlock a new era of data visualization that’s easier, faster, and more accessible than ever before.

Contributed as part of AIM Branded Content. Know more here.

This article is contributed by
Becca Weng

Becca Weng

Becca Weng is a data visualization and Python enthusiast, bringing her background in content writing to the tech industry. She graduated from Princeton University in 2018 with a degree in Sociology, and a minor in Technology and Society.