InkStitch - data visualization: Difference between revisions
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InkStitch has functionality for creating embroidery visualizations fairly rapidly since several data visualization software can export to SVG. The only major caveat as of Aug 2018 (this probably will change in the future) is that InkStitch does not have a lettering module. Letters should be stitched with satin stitches. This '''can''' be done of course, but requires a lot of time for now ... | InkStitch has functionality for creating embroidery visualizations fairly rapidly since several data visualization software can export to SVG. The only major caveat as of Aug 2018 (this probably will change in the future) is that InkStitch does not have a lettering module. Letters should be stitched with satin stitches. This '''can''' be done of course, but requires a lot of time for now ... | ||
After a short feature comparison of various charting software, we started doing tests with Highcharts, a popular entry-level charting library that requires coding, but no programming skills. | After a short feature comparison of various charting software, we started doing tests with Highcharts, a popular entry-level charting library that requires coding, but no programming skills. These explorations are documented below, i.e. may show designs and solution that are not necessarily optimal. | ||
== Creating charts with Highcharts == | == Creating charts with Highcharts == |
Revision as of 18:01, 22 August 2018
.... 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.
InkStitch has functionality for creating embroidery visualizations fairly rapidly since several data visualization software can export to SVG. The only major caveat as of Aug 2018 (this probably will change in the future) is that InkStitch does not have a lettering module. Letters should be stitched with satin stitches. This can be done of course, but requires a lot of time for now ...
After a short feature comparison of various charting software, we started doing tests with Highcharts, a popular entry-level charting library that requires coding, but no programming skills. These explorations are documented below, i.e. may show designs and solution that are not necessarily optimal.
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 two strategies can be combined:
- Adapt the source (both the JS and the CSS code)
- Edit the resulting SVG
It probably is best to start from a demo then either export the code or export it to codepen or jsfiddle.
There exist two ways of styling Highcharts. One version uses the JSON attributes, i.e. the same data structure that isused to configure the chart. The other one uses CSS. Both APIs are documented in the Highcharts JS Options Reference. Make sure to load the right library !
Styles are defined in the JSON code
<script src="https://code.highcharts.com/highcharts.js"></script>
<script src="https://code.highcharts.com/modules/exporting.js"></script>
Styles are defined in the CSS:
<script src="https://code.highcharts.com/js/highcharts.js"></script>
<script src="https://code.highcharts.com/js/modules/exporting.js"></script>
@import 'https://code.highcharts.com/css/highcharts.css';
Creating a bubble chart without editing JavaScript
We exported the SVG from the high charts demo and then edited the SVG code. Please do not reuse this data without crediting highcharts.com 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).
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 exported (default) 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:
- https://codepen.io/danielkschneider/pen/NBQjGg
- A probably older version of the code is available in InkStitch - data visualization/highcharts-bubble-js-code
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
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
Area Charts allow visualizing volume over time. On a linear scale they work best for a few not too different cases.
- Code Pen example that you could fork and modify
- InkStitch - data visualization/highcharts area chart
In the JSON code, we modified font sizes and shortened the title. We also removed Oceania
In the exported SVG we did the following:
- Lower the labels (cannot be done in JS ?)
- Removed "Highcharts.com" (is that compliant with the free education license ?)
- Removed 3-4 rectangles, invisible x lines, and an empty text.
- Removed empty path from the area charts.
- Add stroke and dashes to lines, remove fill color
- Remove stroke and add fill to texts, transform to paths.
Notice: "Undefined color" should be rendered in black, so "undefined" does not mean "removed" !
Dealing with areas:
Filling large areas with a tatami pattern could make the whole embroidery a bit stiff. Lowering its density could help but is not very pretty.
- Remove the separating lines
- Set stroke (same color as the fills) and remove the fills.
- Since the areas are open to the left, you will have to close them. Hit F2, select the two nodes and "join selected endnodes with a new segment".
- Use a fill pattern made with Inkscape as explained in the InkStitch - fills with programmable stitches.
- Transform strokes of the fill patterns and border into dotted lines
Embroidery
- I stitched the lettering twice. It doesn't look good, but still better than stitching it once. Setting an underlay did crash Ink/Stitch (version 16.0). This may be related to the cross-stitch code.
- We tested using lower cases letters. They do not look very good.
Pie charts
This time, we decided to modify the CSS, as opposed to use JSON style properties. Of course, we also made changes to the latter. We started from this and then added our own data, i.e. FIFA all time world cup rankings.
- https://codepen.io/danielkschneider/pen/QVwYYd
- A probably older version of the code is available in InkStitch - data visualization/highcharts-pie-charts-js-css-code
Modifications to the HTML code:
- Since we use CSS for styling, the library must be changed, i.e. instead of using
https://code.highcharts.com/highcharts.js
, we usehttps://code.highcharts.com/js/highcharts.js
, i.e. notice the extra "js/" in the URL. - We also imported a font from google that has extra-bold and straight feet. It does not show in our browser, but exports OK. Make sure to install this font on your system, so that InkScape can use it. Read InkStitch - lettering.
CSS code:
- Import the CSS Highcharts library
- We just changed the font family, size and weight for the title and the labels
Modifications to the JS:
- We added our own data (source: Wikipedia
- Changed positioning of the labels
- Made the half-circle bigger (start and endAngle = 100)
Modification to the SVG
- Removed all empty/useless elements
- Adjusted document size
- Position text
- Translate text to paths
- Parameterize for stitching
- Fill the areas, make all lines dotted.
Embroidery
The design was stitched on a cheap napkin using a water soluble stabilizer in the back. Post processing: Rinsing in hot water, removing of most jump stitches, heat press. The fill fonts look a bit better than in the examples above, for two reasons: There is an underlay and the fonts are bigger (h=12mm/45px/34pt). Width of "I" is 3.2mm.
Datavisualization through highcharts
As a conclusion we can say that Highcharts allows creating a variety of interesting data visualizations.
In order to make these look better, one would have to change create satin stitches for the letters, which would take some extra time. There are two strategies. (1) Keep the stroke of each glyph and translate to rails (2) Replace the text with a digitized font. Alternatively, use at least large and fat font. E.g. Barlow 30pt extra-bold works quite well. Roboto extra-bold (black) also should work fairly nicely.
Recommendations:
- Making changes on the Highcharts side is faster if you are able to read the API, i.e. export graphics that need minimal editing (which still will take some time) in Inkscape
- Use letter size of 30pt if you do not transform these to satin stitches
- Use capital letters and a wide, extra bold font
- Create graphics with few cases (simpler is better)
- Eggbot hatching fill patterns look quite well and allow stitching large surfaces easily.
- For lines, use bean stitches or repeated simple stitches (2-3x)
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
- Getting Started with Data Visualization — Build Your First Chart With D3.js
- VEGA is a visualization grammar built on top.
- Vega-Lite is a high-level grammar of interactive graphics. It provides a concise JSON syntax for rapidly generating visualizations to support analysis
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
- https://www.highcharts.com/ (commercial, but free for non-commercial use)
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.