AI for Data Visualization: 6 Picks for Amazing Results

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ai for data visualization

The growing need for AI for data visualization sparked enthusiasm in many companies. New solutions are emerging daily, so choosing the right one can be tricky. I’m here to share my experience and reveal the best solutions with unique AI-powered visualizations.

Best AI for Data Visualization

I needed a data set to test the usability and output of different solutions. I’ve decided to go with one statistic I’ve discovered while researching how many cell phones are lost daily.

1. Graphy

Graphy ai for data visualization

The best balance between advanced features and usability.

Simple user interface, quick result generation, and overall the best user experience. These words describe Graphy, the interactive AI-powered data visualization builder.

It took me less than a few minutes to generate my first graph!

An excellent detail is that you can orient the data set you import through rows or columns. Graphy also has fantastic styling options. Even the default colors look professional and minimalistic.

ProsCons
Interactive and user-friendlyLacks some advanced options and features
Great styling options
Suitable for presentations
Quick to get started with (beginner-friendly)

2. Akkio

Akkio ai for data visualization

AI-powered chat allows seamless interaction.

If you’re experienced in visualizing data but want an additional push from AI, Akkio might be perfect for you.

Akkio accepts 14 inputs and integrations (Table, Google Spreadsheet, Snowflake, etc.) This provides flexibility and makes it quick to get the most out of it.

Once you import the data, you can describe the goal you want to achieve. This helps the AI-powered system to recognize patterns better and create valuable insights.

A few features gravitate around collaboration. The whole platform is designed to be used by (big) teams, and it includes Slack integration.

ProsCons
Suitable for experienced usersSteep learning curve
14 types of inputs and integrationsUsers can add prompts to optimize insights
Users can add prompts to optimize insights
Great collaboration features

3. Polymer

Polymer ai for data visualization

Perfect for digital marketers looking for a solution for multiple messy dashboards.

Polymer is marketed as a Business Intelligence solution suitable for beginners. Although the interface is clean and simple, I won’t recommend it to somebody unless they’re serious about data visualization.

Polymer is ideal for gathering all data in one interface and visualizing it as needed.

Besides the existing integrations for Google, Facebook, Shopify, and others, you can also create your own template.

Once you import your data, AI will automatically analyze it and recommend the best way to visualize it. This is a significant help if you’re unsure how to present a specific data set.

ProsCons
Suitable for digital marketersRequires decent data visualization knowledge
Centralized dashboard for many data setsAutomatically suggests the best way to visualize
Automatically offers the best way to visualize
Out-of-the-box integrations are available

4. ChartPixel

ChartPixel ai for data visualization

Simple and easy tool for everyday AI-powered data visualization.

Are you new to AI data visualization? If so, ChartPixel might be a great way to get started!

It has an interestingly designed data library, which you can use if you don’t have a data set ready. You’ll get several things once you upload your data or choose from the data library.

First is the customizable chart, which represents your raw data. Next is a textual analysis of the provided data and interesting AI-generated points.

Although not directly related to data visualization, the Speculate feature lets you get some exciting ideas about the data set. This can be very interesting for content creators.

Generated data visualizations can be saved on ChartPixel or downloaded as (.png) images.

ProsCons
Suitable for beginnersLack of advanced features
Nice and organized UINot many collaboration features besides sharing completed work
Additional features like Speculate and InsightsLimited charts and customization features
Decent data analysis summary option

5. Julius

Julius ai for data visualization

An ideal solution for Python developers

Julius is an AI chatbot that writes Python code for real-time data visualization. Like many other chatbots, it can also generate dummy data you can use for further development.

Moreover, it has a descriptive approach while interacting with the user. In other words, the AI generates the comments, code, and visualizations.

If you’re a newbie or junior Python developer working in the field of data visualization, Julius has the potential to become your best friend!

Styling options are limited, and it can sometimes generate a faulty code. The good news is that Julius will redo the process until it gets it working.

ProsCons
Suitable for Python developersOutput isn’t visually appealing
Generates process and the resultCan generate faulty code
Responsive chatbot for data visualizationNo collaboration options

6. ChartAI

ChartAI ai for data visualization

If you’re a fan of ChatGPT, you’ll have no problems using ChartAI.

ChartAI has a very familiar interface (almost identical to ChatGPTs) and a responsive AI chatbot creating data visualization.

It even uses the GPT4 model to achieve this!

Many competitors in AI data visualization don’t reveal the specific model their system relies on. However, ChartAI aims to provide a seamless experience by doing precisely that.

This makes interacting with the chatbot extremely easy and familiar for ChatGPT users.

There are dozens of premade prompts that serve as templates for various charts. The downside is that you can’t expect perfectly styled or formatted results.

ProsCons
Familiar and easy-to-use UIOverall experience gives a ‘still in development‘ feeling
Premade prompts/templatesThe results are often inaccurate
Familiar and easy-to-use UILack of advanced features

How To Visualize Data with AI

Now that you’re more familiar with AI for data visualization, it’s time for action! For this demonstration, I’ll use the most balanced solution on this list, Graphy.

  1. Open the Graphy visualization app and hit the Sign up for free button.
    Graphy sign up
  2. Select one of the three proposed options.
    Graphy use case
  3. Fill in the chart with your data.
    Mark My data is in rows if needed.
    Graphy type or paste your data
  4. Navigate to the Chart type tab and select one of six available options.
    Graphy chart type
  5. (Optional) You can also enable some of the Power-ups or use other customization options.
  6. Visit the Customize tab to change styling or colors.
    Graphy customize chart
  7. Go to the Caption tab and find AI insights.
    • Insights will generate an analysis based on your data.
    • Summarize will create catchy textual content with emojis.
    • Find anomalies will search for patterns in your data set.
      Graphy AI features
  8. Once you’re done, you can use the Share button.
    • Share link creates a unique URL for data visualization on the Graphy platform.
    • Embed lets you add your visualization to Notion, Slack, Canva, or Tome.
    • Image can be used to download your visualization in different aspect ratios.
      Graphy share chart

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Harnessing the power of AI for data visualization is more than accessible with the various available tools. However, choosing the best one for your use case isn’t easy, and I hope my experience helped you out.

If you aren’t sure what you’re going after or have various needs, I recommend starting with Graphy. It’s accessible, has all the necessary features, and nicely incorporates your desired AI options.

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