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Analyze your Industry with an interactive web dashboard

Exploring the chocolate bar industry with WebDataRocks and Highcharts

To perform well in your field, you need to know the specifics of your sphere and all your competitors’ strengths and weaknesses. Conducting thorough research and retrieving only what you need from tons of data can look hard, but with the right tools, you can get it right on the flow!

Data we use

This demo showcases how powerful data visualization tools like WebDataRocks and Highcharts can enhance industry analysis, providing insightful and actionable data for experts in the field. 

Our dashboard allows you to explore a rich dataset of the Chocolate Bar industry. The data includes various attributes such as:

  • Company Maker: The manufacturer of the chocolate bar
  • Specific Bean Origin: The origin of the cocoa beans used
  • REF: Reference number for the review
  • Review Date: The year the review was conducted
  • Cocoa Percent: The percentage of cocoa in the chocolate
  • Company Location: The country where the company is based
  • Rating: The rating given to the chocolate bar
  • Bean Type: The type of cocoa bean used
  • Broad Bean Origin: The broader geographical origin of the beans

Here’s a sample data entry from our dataset:

{
  "Company Maker": "A. Morin",
  "Specific Bean Origin": "Kpime",
  "REF": 1676,
  "Review Date": 2015,
  "Cocoa Percent": "70%",
  "Company Location": "France",
  "Rating": 2.75,
  "Bean Type": "",
  "Broad Bean Origin": "Togo"
}

Chocolate Bar Ratings Dashboard

Edit in CodePen

The embedded dashboard below allows you to interact with the data dynamically. Feel free to filter, sort, and visualize the data to uncover trends and insights about chocolate bar ratings from various companies and regions. 

WebDataRocks gives you the ability to rise to the surface of the outliers and find the best or worst options in the whole dataset simply with conditional formatting.

In combination with charting libraries, like Highcharts, you can visualize all the tendencies and patterns in an insightful way to unveil the hidden dependencies of your field. WebDataRocks takes the data and aggregates it, then passes it to the charting library to create an understandable and interactive picture from the data. 

By pivoting the dataset, you can create many charts and connect them dynamically to the pivot grid. Any changes of slice or filtering on the grid will immediately apply to the visualizations.

Changing the focus of your research is easy and quick. You can save your report or export it into the desired format and move on to further exploration without losing previous insights. In the end — combine all the results into a smartly designed and highly customizable report to present the research to your team or colleagues.

By leveraging WebDataRocks and Highcharts, you can transform raw data into meaningful insights. This combination is perfect for marketing professionals, data analysts, and industry experts who need to make data-driven decisions quickly and effectively.

Why Choose WebDataRocks for Reporting?

WebDataRocks offers a robust, user-friendly solution for sales managers and industry professionals seeking to elevate their reporting and analysis capabilities. Here is how our component can boost your reporting process:

  • Easy Start: Leverage familiar Excel-like functionality within an intuitive interface to get started quickly and jump right into the analytics.
  • Strategic Focus: Customize the analysis process and swiftly interpret data, allowing you to concentrate on important things for your business.
  • Seamless Integration: WebDataRocks can integrate with any JavaScript component to power one another and create your perfect analytical tool, ensuring consistent access to the data and insights for everyone.

Explore our interactive demo on CodePen to see all the features you can integrate into your analytical reporting software. Feel free to embed the demo and make any adjustments necessary to suit your specific needs and style.