FiglinQ can create rich, interactive charts that are automatically and permanently connected to the underlying data. You can save/export the charts as high-quality images to use them in your publications, and include them in future-proof smart manuscripts that allow others to reuse your data.Creating charts (as well as data processing / analysis) happens in the Chart Editor. The chart editor has three key sections:
- Data grid. This is where you can import, arrange, process and analyze your data.
- Chart. This section shows the final interactive chart. It is automatically updated when data or any chart property is changed, so that the up-to-date version is always shown.
- Chart properties & actions. This is where you can add traces, adjust properties of the chart and traces, use themes, fit curves and export (download) charts and data in multiple formats.
To create a chart, FiglinQ features a chart editor that needs some data in a spreadsheet (grid). This data can be imported, but for now we just type in some data. Start by logging in to your account, which will bring you to the chart editor, at create.figlinq.com.
This short tutorial describes how to create your first chart and save it for future use.
From the '+ Create' button in the top bar of your browser window, choose 'Chart'.
FiglinQ now presents you an empty data grid Unnamed grid 1 similar to the one below, showing an empty area 'Click to enter Plot title' where the chart will be drawn and its menus to the left, where chart properties can be set and actions can be chosen
The second column from the left shows a button +Trace and an area where the traces will appear: Trace your data.
As a start we will create a dead simple bar chart. In the Unnamed grid 1, enter x-values 1, 2 and 3 in the A-colum on row 1 through 3, and the sample y-values 1, 4, 9 in column B.
Now it is time to create a trace that represents your grid data as bars. Click the +Trace. Default, the trace type is Scatter. Click on the text Scatter to bring up an overview of available chart types. Click on the Bar icon. Notice, by the way, that hovering over the icon reveals a hidden menu that links to tutorials and basic examples for that trace type.
Now that you have chosen the trace type Bar chart, you can select two data columns in the grid representing your chart data.
Use the popup Choose data... for the X axis and select column A. Use the popup Choose data... for the Y axis and select column B.
Your dead simple bar chart has now been created.
FiglinQ content is only retained when saved. Save often To save, press the Save button in the left side bar.
FiglinQ is a bit of a character when it comes to saving its contents, so keep the following in mind:
- grid and figures are stored in the top level folder, for you to later putting them in the right subfolder(s).
- grid and trace files are indistinguishable to FiglinQ by virtue of not having an identifying file extension.
- although you are free to create your own logic, we suggest adding 'data' to the grid file name; eg. 'my first figure' would hold the traces, 'my first figure data' holds the grid(s).
- if you forget to use two different file names and try to save both the grid and the traces using 'my first figure' as a file name, you get a non-descript error that a file already exists.
- the text editor handling the Plot and Grid names is not perfect yet, so click the pen icon to fully erase the pre-defined file name.
- when saving under a new name, first click the radio button, then the pen icon, then enter the new name (as clicking the 'new' radio button will erase everything already typed).
- when the 'Existing Plot' is ticked, your previous file by that name is silently overwritten.
- the file name is CASE SenSItiVE, so using capital letters can be the source of a lot of frustration!
- under Advanced options you can set this plot as your template for future work.
- Finally, when saving the plot and grid, you can determine which read- and write permissions[link] apply to the file(s).
You have now experienced the bare basics of creating a chart. From here, you can explore other chart types or add and change features[link]. Below you can read a concise explanation of several concepts you will encounter when using FiglinQ.
FiglinQ's charts are based on the concept of traces. A trace is the basic unit of a chart that is linked to a data series. Although most charts contain a single trace type (e.g. scatter, bar or line), different types can also be combined together in a single chart. For instance, a bar trace can be combined with a line trace. Each trace can be independently styled and associated to different x and y axes of the plot, or share a single axis. FiglinQ features over 40 different interactive trace types, which can be mixed together to create rich, beautiful charts.
Each FiglinQ chart is associated with at least one data grid (and multiple grids can be associated with a single chart). The source of data for any trace is a column in the associated data grid(s). This is different than, for instance, in Microsoft Excel or in Google Sheets, where the data source can be specified as a range of cells (e.g. A1:A24) in the worksheet. As a consequence, when multiple data series reside in the same column (e.g. underneath each other), they will all be included in any trace that is associated with this column, which generally leads to undesired and corrupted charts.
A single data series (e.g. X values for a scatter trace) should thus occupy a single column in the data grid, and this column should not include any other data series (e.g. Y values).
Most elements of each chart (e.g. background, axes, title, etc.) and trace (e.g. line color, point size, etc.) can be independently styled. Different trace types share most of the style parameters, but some traces have additional unique styling options.
Charts created in FiglinQ can inherit their style from global or personal themes. Global themes are built into the application and available to all users. Personal themes can be added by any user, for her/his private use, and also shared with collaborators. Personal themes are, in essence, just regular charts, but it is possible to apply their style to other charts. Using themes, it is thus possible to make the style of many different plots consistent, without having to manually change every style parameter.
Chart editor allows to fit lines and curves to traces using a number of built-in functions (e.g. linear, quadratic or polynomial), as well as custom, multiparameter functions. It is, in principle, possible to fit any custom function using the built-in equation editor. After the curve fitting operation, the resulting curve is added, as a new (scatter) trace, to the current chart, such that it can be independently styled.
You can add different types of annotations to your chart. Currently supported annotations are text, shapes (lines, arrows, rectangles, circles or ellipses) and images. Each annotation can be anchored relative to the chart axes, so that it is automatically scaled and repositioned when a chart is interactively explored or magnified. Each annotation can also be independently styled.
Charts can be exported and downloaded as raster images of arbitrary resolution (in .jpg or .png format) or as vector graphics (in .pdf, .svg, .emf, .webp or .eps format). Charts can also be exported as HTML packages and viewed offline. Data files can be exported in .xls or .csv formats, and additionally in JSON format that is compatible with most data processing applications and languages.