{"id":6670,"date":"2023-10-10T05:42:00","date_gmt":"2023-10-10T05:42:00","guid":{"rendered":"https:\/\/handandmachine.org\/classes\/computational_fabrication\/?p=6670"},"modified":"2023-10-12T15:25:27","modified_gmt":"2023-10-12T15:25:27","slug":"nathaniel-garcia-large-assignment-3","status":"publish","type":"post","link":"https:\/\/handandmachine.org\/classes\/computational_fabrication\/2023\/10\/10\/nathaniel-garcia-large-assignment-3\/","title":{"rendered":"Nathaniel Garcia — Large Assignment 3"},"content":{"rendered":"\n

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Data to 3D-Print 1<\/h2>\n\n\n\n

For my first print, I was looking at ABQ data and thought It’d be cool to create a bar graph representing the average income of government workers. Of course, I had to clean and filter the data and managed to create this bar graph. I originally planned on 3D printing this into a vase, but couldn’t get the offset right and only have 1 polysurface. Somehow I managed to create my 3D object, but I went with more randomized data as it looked cooler. <\/p>\n\n\n\n

https:\/\/www.cabq.gov\/abq-data\/<\/a><\/p>\n\n\n

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I managed to create my Grasshopper code following the class slides. I tweaked it a bit to get my data to plot correctly. I first cleaned my data so it gave me an array of tuples with the job title and the salary, I then created another Python block that created an average salary for that job. Now, I can’t plot job titles, so I just assigned them by numbers. <\/p>\n\n\n\n

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Data to 3D-Print 2<\/h2>\n\n\n\n

For this print, I had lots of trouble with the data. There was a lot of data I had to filter it to my liking. This 3D print is a graph that captures the Battery Electric Vehicles (BEVs) and Plug-in Hybrid Electric Vehicles (PHEVs) that are currently registered through the Washington State Department of Licensing (DOL). I managed to only get the Brand of the vehicle, and the number of registered vehicles to that brand. <\/p>\n\n\n\n

https:\/\/catalog.data.gov\/dataset\/electric-vehicle-population-data<\/a><\/p>\n\n\n\n

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Of course, as you might see, Tesla has the most electric vehicles registered in Washington state. The file, however, was BIG, it was 33MB. I had to delete columns so there wasn’t an issue opening this file in Rhyno. <\/p>\n\n\n\n

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With this, I was able to print my vase. As you can see, they still have supports, I figured that the bottom would be unable to stand on its own, so I put supports and left them on the vase. <\/p>\n\n\n\n

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Data to 3D-Print 3<\/h2>\n\n\n\n

For this last 3D Print, I found data from the New York Lottery website for past Mega Millions results and payouts. Handling this data was easier than the other prints. What I did for this print was create an array of winning numbers, so { [1,2,3,4], [5,6,7,8] …..} from the data. I then got the number of occurrences for each number. <\/p>\n\n\n\n

https:\/\/catalog.data.gov\/dataset\/lottery-mega-millions-winning-numbers-beginning-2002<\/a><\/p>\n\n\n

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From the list I created, I got the top 4 winning numbers. So, 31 appeared on 214 people’s winning numbers, 10 appeared on 210, 20 appeared on 209, and 14 appeared on 208 winning ticket numbers. <\/p>\n\n\n\n

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However, I couldn’t wrap the surfaces around my plot, so I manually started making them in Rhyno, I spent a couple of hours trying to get this figured out, and I’m not sure how I finally managed to get my form. <\/p>\n\n\n\n

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Conclusion<\/h2>\n\n\n\n

Overall, I like the way my data plots came out; however, I’m not too sure about how the sizes of my pieces came out. I wish my small piece came out bigger and I wish my green big piece came out smaller. I still have to find the right scaling for my prints. For the green one, I especially wish I got the scaling right because I feel I consumed a lot of filament. I also feel as if I should start messing with the infill percentages. <\/p>\n\n\n\n

NathanielGarciaLA3<\/a>Download<\/a><\/div>\n","protected":false},"excerpt":{"rendered":"

Data to 3D-Print 1 For my first print, I was looking at ABQ data and thought It’d be cool to create a bar graph representing the average income of government workers. Of course, I had to clean and filter the data and managed to create this bar graph. I originally planned on 3D printing this into a vase, but couldn’t […]<\/p>\n","protected":false},"author":20,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[37,24],"tags":[],"class_list":["post-6670","post","type-post","status-publish","format-standard","hentry","category-data_phys_23","category-studentwork23"],"_links":{"self":[{"href":"https:\/\/handandmachine.org\/classes\/computational_fabrication\/wp-json\/wp\/v2\/posts\/6670","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/handandmachine.org\/classes\/computational_fabrication\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/handandmachine.org\/classes\/computational_fabrication\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/handandmachine.org\/classes\/computational_fabrication\/wp-json\/wp\/v2\/users\/20"}],"replies":[{"embeddable":true,"href":"https:\/\/handandmachine.org\/classes\/computational_fabrication\/wp-json\/wp\/v2\/comments?post=6670"}],"version-history":[{"count":9,"href":"https:\/\/handandmachine.org\/classes\/computational_fabrication\/wp-json\/wp\/v2\/posts\/6670\/revisions"}],"predecessor-version":[{"id":6796,"href":"https:\/\/handandmachine.org\/classes\/computational_fabrication\/wp-json\/wp\/v2\/posts\/6670\/revisions\/6796"}],"wp:attachment":[{"href":"https:\/\/handandmachine.org\/classes\/computational_fabrication\/wp-json\/wp\/v2\/media?parent=6670"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/handandmachine.org\/classes\/computational_fabrication\/wp-json\/wp\/v2\/categories?post=6670"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/handandmachine.org\/classes\/computational_fabrication\/wp-json\/wp\/v2\/tags?post=6670"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}