InkStitch - data visualization

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Machine embroidery
Module: InkStitch
◀▬
draft avanced
2018/08/21
Objectives
  • Create data visualizations for SVG
  • Adapt the SVG for embroidery
  • Digitize
Sub pages:

Objectives

  • Create data visualizations for SVG
  • Adapt the SVG for embroidery
  • Digitize


  • Quality: draft
  • Difficulty: avanced

.... under construction

Data visualization embroidery

Various types of charts have the potential for embroidery. We will explore this a bit over the next few weeks and months.

Creating charts with Highcharts

Highcharts is a JavaScript library to create various types of charts. [Quote]: “Highcharts is a SVG-based, multi-platform charting library that has been actively developed since 2009. It makes it easy to add interactive, mobile-optimized charts to your web and mobile projects. It features robust documentation, advanced responsiveness and industry-leading accessibility support.” (Highcharts, Aug 2018). It is free for non-commercial use. There is an export function to SVG.

To create SVG for embroidery there are two strategies that should be combined:

  • Adapt the source
  • Edit the resulting SVG

It probably is best to start from a demo

Creating a bubble chart without editing JavaScript

We exported the SVG from the high charts demo. Please do not reuse this data without crediting highcharts and do not use it for commercial purposes.

We did the following.

  • Delete all the elements we did not want, in particular grids.
  • Simplify x/y and global labels and put all of these into a single group. Within this group ungroup all subgroups.
  • Remove strokes from labels and add fill
  • Set font size to 24 pt or bigger (that will create 6mm fonts for Capitals). To me it is not clear if there is a standard size for "pt". I assume that 1pt = 0.35mm. Font size is probably bigger than Capital letters, else this does not work. (0.92.3/Ubuntu 18).
  • Adjust size and layout for your favorite hoop, e.g. 180 X 13cm for a Brother PRH180.
  • Convert all text objects to paths after that.
  • Make sure that all the bubbles are in the same group, set fill and remove stroke.
  • Make all lines dotted (for Ink/Stitch to create lines)
  • Order the groups. Text should be on top. Strokes at the bottom, followed by bubbles.
  • Verify the colors ! (initially, the SVG below has too many which is a problem on a single needle machine)

Parameterize most objects for a simple fill, rotate fills for the bubbles, dotted lines can be stitched with a bean stitch.

The design takes a fairly long time to process. To speed up computing you could select individual letters (one by one) and simplify (CTRL-L).

Result
SVG, version3 for download
Simulation of a first version
Simulation of the second version (DST)
Embroidery of the second version

The result could be improved in several ways (most of this is done in the SVG for download above).

  • Better tissue and stabilizer. I used a cheap napkin with a tear-off stabilizer.
  • Replacement of fill fonts with digitized satin fonts, but that is too much work at this stage of exploration.
  • Making the title and labels a bit bigger
  • Rotate stitch direction of bubble fills
  • Line underlay for labels (cannot be done)

Tuning with JavaScript

Instead of editing the SVG, you also could generate a modified version. Open the Demo in CodePen.io. If you want to play with the bubble chart, you can also start from our modified version:

Firstly, have a look at the API. It defines all the parameters that can be set in the JSON structure defining the chart.

Below are a few of the changes we made:

Setting the size:

  • Modify the HTML code. E.g. for a 18cm x 13cm hoop, use:
<div id="container" style="height: 128mm; width: 178mm"></div>
  • Modify also the SVG code (but you only can enter pixel and % values)
   width: 670, //pixels only. That will be DPI dependant.
   height: "72%"

Change fontSize, fontWeight and color. In this version one cannot use CSS styles in a simple way. Instead, I used JavaScript CSS styling. E.g.

 title: {
      text: 'DAILY FAT',
      style: {"fontSize":"25pt", "fontWeight":"bold", "color": "#000000"}
    },

Shorten phrases and words and capitalize all text. E.g. "G" instead of "gr".

Changed axis "ticks" (four for both axes)

Augment the size of the bubbles a bit in the plotOptions:

bubble: {minSize:"5%", maxSize:"25%"}

The resulting SVG still needs hand editing and regrouping of objects, but requires much less work. Read aboves. In short:

  • Regroup similar objects in a same group, then ungroup all the objects in the group
  • Remove stroke from all objects (!!). You could leave a dotted stroke for the bubbles.
  • Transform text and rectangles to object
  • Reorder groups if needed
  • Parameterize for embroidery. Bubbles should have an other stitch direction than overlapping text. I also suggest using an underlay, although it could make the embroidery a bit stiff.

Result

SVG file for download
Picture

The stitched result is better than the our first attempt documented in the previous section. The lettering is still ugly but a bit more readable. We either used an underlay or we stitched them twice using the controls of the embroidery machine. Maybe stitching twice with a different fill direction also could help. The borders have quite an ugly zigzag stitch that could be replaced by nothing or a bean stitch in a different color.

Area Charts

Links

Ignore these for the moment. We are just in the process of finding a suitable way to create SVG files. - Daniel K. Schneider (talk).

D3

D3 is a JavaScript library for programmers that can generate SVG

RawGraphs

RAWGraphs is an online application that can generate visualizations from tabular data (e.g. spreadsheets).

The generated SVG requires some work that should be done partly with a programming editor.

  • Remove grid lines (optional)
  • Make some labels bigger, and remove some
  • Translate all text to path
  • Remove opacity (alpha values to 100%)

Google charts

High charts

So far, the most convenient SVG output to deal with. In the bubble and line charts, data (bubbles or lines), data labels, and other information are in different groups and therefore not too difficult to manipulate.

Data collections