#vdta

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(VDTA) Exhibition

I was really pleased with the reception I got at the pop up exhibition on Monday. I enjoyed presenting my finished project and had a laugh over the number of people asking me my how many hours it took to create.

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(VDTA) Close Up

Close up on the stitches, the yellow rows are single crochet stitches whereas the other colours are a double crochet stitch to differentiate between the two data sets.

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(VDTA) Finishing Touches

Fixing up the edges of the blanket and cutting off any excess wool (note the crochet hook in my hair)

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(VDTA) Photoshoot

Here is my ‘very fancy’ photo shoot set up. Hanging my blanket off my kitchen counter.

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(VDTA) Finished Work

Finished crochet blanket from 1960 (right) - 2014 (left). Dimensions 112 x 228 cm. So excited to present this at the exhibition tomorrow!

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(VDTA) Scarf Temp

Kristen Cooper made a scarf that mapped the temperature where she lived every day for a year, each day she would stitch a line in the colour that correlated to that temperature, and by the end of the year she had a scarf. The colours represent 5 degrees celsius increments and she picked her own colours to represent that. She explains her process encourages others to join in on this fun project.

https://www.ravelry.com/patterns/library/my-year-in-temperatures--scarf-

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(VDTA) Quipu

This is an ancient Incan method of data recording and communicating information. Without a formal writing system, the Incas created these knotted necklaces using different colours and strings to convey the most in depth information. it could even keep traditional folk stories, just through various knots.

This method of data recording is similar to my project in that different colours and stitches mean different data points, just like the Incas used different strings and knots to do the same.

https://www.ancient.eu/Quipu/

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(VDTA) Data Narrative

Deciding on a data narrative that fit with my project made me really sit and think about exactly what I wanted to present. What story I wanted to tell. Which lead me to leaning in on the idea that my project is about taking very dense data (very large and confusing amounts of CO2) and putting a personal spin on it. This way people can more easily understand that we each contribute to these levels of CO2 and that these large confusing numbers make more sense when intertwined with personal data.