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How to quickly make a data report with the help of AI and data visualization tools

author:Wan Bo Situ

Since the advent of ChatGPT, many companies have been competing to accelerate the layout of artificial intelligence, and AI tools have sprung up like mushrooms after a rain. Humans are able to efficiently generate all kinds of text, images, and videos, which greatly improves work efficiency.

Is it possible to generate a data report with the help of AI?

As we all know, to make a great data report, clear and cool charts are essential.

Many AI tools excel in image generation, but it's hard to have AI to make charts perfect.

Let's take a look at a popular foreign data analysis tool - Julius AI, enter the command: Please simulate the data to help me generate a Sankey chart of mobile phone brand usage in different age groups.

Julius AI ran 48 lines of code to generate such a graph

How to quickly make a data report with the help of AI and data visualization tools

What a terrible thing we wanted!

How to quickly make a data report with the help of AI and data visualization tools

Since then, I have tried several other AI tools and found that they can only generate simple charts, and complex charts cannot be helped. Obviously, it is unlikely that AI-generated charting tools alone will enable the production of data reports.

Changing your mind, is it possible to use AI to generate a data report outline, and then use a data visualization tool to generate the report?

1. Use ChatGPT to generate a data report outline

Recently, OpenAI, an American artificial intelligence company, announced that it will allow users to use ChatGPT directly without registration, so that ChatGPT's activity will increase again. Despite the surge, ChatGPT, as the "ancestor" of large models, still has good strength.

Take, for example, the mobile usage data report. Enter the command in the ChatGPT dialog box: help me generate an outline of the mobile phone market and user group data report of each brand.

introduction

Introduce the background and purpose of the mobile phone market research and outline the structure and content of this report.

Market Overview

  • Analyze the position and share of major mobile phone brands in the market.
  • Describe the market positioning and development history of each brand.

Brand survey data

  • Conduct surveys on major mobile phone brands, including but not limited to Apple, Samsung, Huawei, Xiaomi, OPPO, vivo, etc.
  • Provide data such as market share, sales data, and user satisfaction of each brand.

Brand preference for different age groups

  • Analyze the preferences of users of different age groups for mobile phone brands, including 18-25 years old, 26-40 years old, 41-60 years old, and over 60 years old.
  • Explore the degree and reasons for the preference of different age groups for each brand.

Brand loyalty survey data

  • Investigate user loyalty and repeat purchase rates across mobile phone brands.
  • Analyze the loyalty and stability of different brand user groups.

User survey data

  • According to different brands of mobile phone users, investigate their basic characteristics, usage habits, purchase motivations, etc.
  • Provide statistical data on the characteristics and preferences of each brand's user group.

Conclusions and Recommendations

  • Summarize key findings and trends in the report.

According to the optimization instructions generated by the results, ChatGPT quickly generated a logical outline, which can be used for its own use with slight modifications based on the collected information.

Here's the outline that I've revised:

  1. Global mobile phone addiction rate ranking
  2. Sales volume of mobile phones of various brands in the Chinese market
  3. Mobile phone brand preferences for different age groups
  4. User loyalty across different brands
  5. Survey of the purchase budget
  6. Factors to consider when purchasing

Second, teach you to make a data report step by step

The body of the text can be combined with existing data, network data, or AI tools to write, and data visualization tools are needed to make charts and reports. First of all, I would like to introduce you to a powerful and easy-to-use data reporting tool: W-Reports.

W-Reports is a powerful and easy-to-use online report designer bred by the big data platform of W-Reports, which provides infographics, reports, PPTs, dashboards, charts, map templates for multiple industries such as automobiles, e-commerce, government, education, etc., and is equipped with a continuously updated material library, making drag-and-drop data reports a reality.

How to quickly make a data report with the help of AI and data visualization tools

Next, follow the steps of the editor to make a mobile phone usage data report~

1. Search for Wanboweis, click on the free trial after entering the webpage, and enter the general report workbench after successful registration to create a report.

2. In the Properties panel on the right - Set the report name as a whole, set the cover page.

How to quickly make a data report with the help of AI and data visualization tools

3. Start by setting a title for your report.

4. Comprehensively use icons, illustrations and other elements to enrich the visual of the report.

How to quickly make a data report with the help of AI and data visualization tools

5. Paste the content of the report into the designed text box.

6. Adjust the size and color of icons and illustration text in the right property bar.

7. Chart design and performance are the focus of data reporting. Taking the brand preference of mobile phones of different age groups as an example, the chart type suitable for this chart data is determined to be Sankey chart. In the resource area on the left, drag and drop the Sankey chart to the report page.

8. Click on the Sankey Chart and select the Data-Data Source Upload Data Table in the Properties panel on the right.

How to quickly make a data report with the help of AI and data visualization tools

The platform supports uploading a variety of data types. The following table is an example:

How to quickly make a data report with the help of AI and data visualization tools

After the data replacement is completed, a Sankey diagram that the AI can't make in a daze is completed~

How to quickly make a data report with the help of AI and data visualization tools

9. Right Properties Panel - Advanced can set chart style, title and other attributes. The upper ribbon provides a variety of user-friendly functions such as layers and alignment.

How to quickly make a data report with the help of AI and data visualization tools

The rest of the report can be made in accordance with the above steps, if you don't understand, you can check the video tutorial in the upper left, or you can poke the editor privately~

Once you're done, click on the top right corner to preview the overall effect, and if you're fine, you can export the report!

Let's take a look at the final effect~

How to quickly make a data report with the help of AI and data visualization tools

Isn't the production process super simple?Friends who are still waiting and seeing, hurry up and search for Wanboweisi to try it~ Try it for free!

For more industry templates, tutorials, and visualization information, please pay attention to the official account: Wanboweisi Visualization

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