Exporting data from Highcharts to CSV is a straightforward process that ensures your data is easy to share and analyze. This guide will walk you through the steps required to accomplish the task efficiently.
Highcharts provides built-in support for exporting data in various formats, including CSV, making your data readily accessible.
Additionally, we will explore how Sourcetable lets you analyze your exported data with AI in a simple to use spreadsheet.
Highcharts offers robust options for exporting your chart data to CSV format, providing an easy way to handle and analyze your data outside the charting environment.
The Highcharts exporting module, known as exporting.csv, adds various data export options directly to the export menu of your charts. This module provides essential functions for exporting data seamlessly.
The exporting.csv module includes functions like Chart.getCSV for exporting data to CSV, Chart.getTable to display data in an HTML table, Chart.getDataRows to export data to rows, and Chart.viewData for viewing data in a JavaScript structure.
To export your chart data to CSV format, utilize the Chart.getCSV function. This function efficiently converts your chart data into CSV, making it ready for download and further use in various applications.
Beyond CSV, Highcharts allows exporting data to Excel. However, the built-in XLS converter is limited and generates an HTML string for download, including a warning before opening. For a smoother experience, using third-party XLSX converters is recommended.
Highcharts not only supports data export but also provides options to display your data in various formats. You can use Chart.getTable to display data in an HTML table or Chart.viewData to present it in a JavaScript structure, offering flexible data visualization methods.
Highcharts makes it simple to export your chart data to CSV format using the exporting.csv module. With essential functions and additional options for data display and Excel export, you have all the tools needed to manage your data effectively.
Accessible Content Collaboration |
Highcharts collaborated with Inclusio to create accessible content. This partnership ensures that data visualizations are accessible to all users, including those with disabilities. |
Monitoring Day-to-Day Operations |
Highcharts helps users monitor day-to-day operations. Its interactive charts and dashboards provide real-time insights into operational metrics. |
Investigating Risks |
Highcharts aids in investigating risks by visualizing complex data. Users can identify potential issues and mitigate risks effectively. |
Exploring Growth Opportunities |
Highcharts can be used to explore new growth opportunities. The visualization tools allow businesses to uncover trends and make informed decisions. |
Business Analytics |
Highcharts is powerful for visualizing business analytics. Users can highlight key insights, add context, and visualize metrics such as growth, product information, and regional sales trends. |
Integration in Web Development |
Highcharts offers official integrations for various frontend frameworks like Angular, React, and Vue, as well as for mobile and server-side projects, including iOS, Android, and PHP. These integrations ensure high-quality performance and support. |
Interactive Charting Library |
Highcharts is a JavaScript and TypeScript-based charting library. It supports interactive charts and dashboards, works with any back-end database, and offers premium support and multiple chart types. |
Custom Projects |
Highcharts engages in custom projects, collaborating with organizations like Drivetrain, Horus, and Stazy to tailor solutions for specific needs. |
Sourcetable offers a unique approach to data management by consolidating all your data sources into one place. Unlike Highcharts, which primarily focuses on charting capabilities, Sourcetable provides a comprehensive spreadsheet interface for real-time data querying.
With Sourcetable, you gain the ability to manipulate data directly within a familiar spreadsheet-like environment. This streamlines your workflow, eliminating the need to switch between different tools for data analysis and visualization.
Sourcetable's real-time data retrieval ensures that you always have the most current information at your fingertips. This feature is crucial for making quick, informed decisions, which is something that Highcharts does not inherently offer.
For users looking to simplify their data analysis and visualization processes while maintaining robust functionality, Sourcetable stands out as a versatile alternative to Highcharts.
Highcharts can export data to CSV using the exporting.csv module, which adds data export options to the export menu and provides functions like Chart.getCSV.
Yes, Highcharts can export data to Excel. However, the built-in XLS converter creates an HTML string for download, and it is recommended to use third party XLSX converters to avoid warnings before opening.
Highcharts can display data in a HTML table or a JavaScript structure.
The exporting.csv module provides functions like Chart.getCSV, Chart.getTable, Chart.getDataRows, and Chart.viewData.
Using a third party XLSX converter avoids the warning that appears when opening files created by the built-in XLS converter, which only creates an HTML string for download.
Exporting data from Highcharts to CSV is a straightforward process that can greatly enhance your data analysis capabilities. By following the steps outlined in this guide, you can easily obtain your data in a widely-used format.
Once you've exported your CSV file, it’s important to make the most of your data. Sign up for Sourcetable to analyze your exported CSV data with AI in a simple to use spreadsheet.
To analyze spreadsheet data, just upload a file and start asking questions. Sourcetable's AI can answer questions and do work for you. You can also take manual control, leveraging all the formulas and features you expect from Excel or Google Sheets.
We currently support a variety of data file formats including spreadsheets (.xls, .xlsx, .csv), tabular data (tsv), database data (MySQL, PostgreSQL, MongoDB), application data, and most plain text data.
Sourcetable supports files up to 10gb in size. Larger file limits are available upon request. For best AI performance on large datasets, make use of pivots and summaries.
Yes! Sourcetable's AI makes intelligence decisions on what spreadsheet data is being referred to in the chat. This is helpful for tasks like cross-tab VLOOKUPs. If you prefer more control you can also refer to specific tabs by name.
Yes! It's very easy to generate clean-looking data visualizations using Sourcetable. Simply prompt the AI to create a chart or graph. All visualizations are downloadable and can be exported as interactive embeds.
Yes. Regular spreadsheet users have full A1 formula-style referencing at their disposal. Advanced users can make use of Sourcetable's SQL editor and GUI, or ask our AI to write code for you.
Currently, Sourcetable is free for students and faculty, courtesy of free credits from OpenAI and Anthropic. Once those are exhausted, we will skip to a 50% discount plan.
Yes! By default all users receive a free trial with enough credits too analyze data. Once you hit the monthly limit, you can upgrade to the pro plan.