This documentation is a work in progress, please excuse any omissions, brevity or errors. Until we're ready, for a more complete documentation please visit Plotly's help pages!
FiglinQ is collaborative platform for Excel-like data analysis and (interactive) plotting, additionally allowing sharing and publishing of data and plots in data-connected smart manuscripts. With FiglinQ you can create and maintain a direct and permanent connection between your publication, its charts and figures, and the underlying data, making the data findable, accessible and reusable by others.
FiglinQ responds to many of the common needs encountered during a typical lifcycle of a manuscript or a research project. It allows storing, organizing and analyzing data (using dozens of statistical and other functions) in a familiar, spreadsheet-like environment. From these data, over 40 types of scalable, interactive charts can be generated and combined into figures. Data, plots and figures can all be shared, for instance among co-authors working on the same manuscript, or among members of a group / project. But the true power of FiglinQ is that these data and plots can be published, with a single click, and embedded, with a simple hyperlink, right into publications. The resulting smart manuscripts are permanently connected to the underlying data, which can then be easily reused.
Getting started with FiglinQ is very easy - first create an account. Then log in and start importing, analyzing, plotting, sharing and publishing your data right away. Or manually add some data to the data grid and create charts, using my first chart, an introduction to plotting.
Importing and organizing the data grids, plots and figures that you create is similar to other online file management systems (for instance Google Drive or Dropbox). Data analysis is based on data grids and formulas, similar to those implemented in Microsoft Excel or Google Sheets.
Plotting data using FiglinQ is based on the concept of a trace (e.g. a scatter trace or line trace). Although most charts contain a single trace type, different types can be combined together in a single chart. Traces are always linked to columns in the data grid(s) that are associated with the charts. Traces can be independently styled and associated to different axes of the plot, or share a single axis.
Different Charts can be combined, together with text and links, into interactive figures.
You can share your data, charts and figures with other FiglinQ users by providing their email address, and with others by sending them a secret link.
Data and plot publishing works, likewise, via unique hyperlinks, which can be directly embedded in any electronic medium: HTML web pages, social media platforms or - importantly - smart manuscripts.
This documentation covers the five major functionalities of FiglinQ:
- Managing your content. This section describes how to enter, upload or import your data from local files or online sources, how to organize the data and charts in your private workspace, how to share content with your team, colleagues or the world, and how to embed your content in smart manuscripts!
- Data processing and analysis. This section describes the data analysis possibilities, based on the Excel-like formulas, which have been expanded to include a widening range of statistical analysis methods.
- Creating interactive charts. This section contains information on the extensive plotting capabilities of FiglinQ, powered by Plotly's plotly.js and Chart Studio. Check the documentation on plot creation and styling, plot types and more.
FiglinQ is deployed on Google Cloud Platform's servers located in The Netherlands.