I got this dataset from 1212.mn and this is a statistic website for my country where I can request various datasets such as air pollution and I can pick which location\/year\/indicator I want. I requested PM2.5(measures air pollution) dataset in .csv format. I chose this dataset because I was interested how air pollution progressed in my city area from 2015 to 2024. To plot it, first I converted each PM2.5 value from mg\/m^3 to \u00b5g\/m^3 and then scaled it in a range of 1% to 10% and I smoothed the edges.<\/p>\n\n\n\n
COVID-19 Recovered per 100 confirmed cases:<\/strong> https:\/\/www.kaggle.com\/datasets\/imdevskp\/corona-virus-report?select=day_wise.csv<\/a><\/p>\n\n\n\n I got this dataset from Kaggle and the reason I chose this dataset is because I was interested how many people recovered per each confirmed 100 cases from 1\/22\/2020 to 7\/27\/2020. To plot it, I used 10th column(Recovered \/ 100 cases) and scaled the values from 1% to 20%.<\/p>\n\n\n\n Mongolian Density Dataset:<\/strong> https:\/\/1212.mn\/en\/statistic\/statcate\/573051\/table-view\/DT_NSO_0300_034V1<\/p>\n\n\n\n Similar to air pollution dataset, I got this dataset from 1212.mn. The reason I chose this dataset is because I wanted to visualize my city density from 2000 to 2023. To plot it, I scaled the values from 1% to 10%.<\/p>\n\n\n\n I used variables from the dataset such as time and certain category that I was interested in to shape and scale the 3D forms. In Mongolia air pollution, the values in the dataset are measured in mg\/m^3 representing PM2.5 air pollution measurement. In COVID-19 dataset, the values are integers from 1 to 100 representing recovered cases per 100 confirmed cases. In Mongolian density dataset, the values are integers representing population per unit of land area.<\/p>\n\n\n\n I chose these forms because they represent trends and patterns in the dataset making it best for data physicalization. Each form has trends that a person might not be able to see just by looking at raw .csv file. For example, In air pollution, we can see that in the air pollution is hazardous every year in some months(if we examine further, we can see air pollution is hazardous in winter time because Mongolian winters can get to -30 celsius, thus people need to burn more coal or use more electricity to stay warm which makes air quality worse, however air quality each year gets a little better each winter because Mongolia progresses). In density, we can see that population density rises each year and for COVID we can see there is huge spike in 2-3rd month for recovered cases which we could assume that treatment might’ve gotten better.<\/p>\n\n\n\n COVID-19 recovered per 100 cases:<\/p>\n\n\n\n Mongolian Density:<\/p>\n\n\n\n Mongolian Air Pollution:<\/p>\n\n\n\n COVID-19 recovered per 100 cases dataset:<\/p>\n\n\n\n Mongolian air pollution dataset:<\/p>\n\n\n\n Mongolian population density dataset:<\/p>\n\n\n\n 3D objects can help people understand data better by visualizing it. For example, when you turn data into 3D object you can see the patterns and trends. When you see raw .csv file, it might be harder to visualize it. The process of creating 3D objects from data allows us visualize and hold the object. These objects can have unique meanings because they make the data feel more real! It feels more easier to grasp the data!<\/p>\n\n\n\n <\/p>\n","protected":false},"excerpt":{"rendered":" Dataset: Mongolian Air Pollution Dataset: https:\/\/1212.mn\/en\/statistic\/statcate\/573072\/table-view\/DT_NSO_2400_015V2 I got this dataset from 1212.mn and this is a statistic website for my country where I can request various datasets such as air pollution and I can pick which location\/year\/indicator I want. I requested PM2.5(measures air pollution) dataset in .csv format. I chose this dataset because I was interested how air pollution progressed […]<\/p>\n","protected":false},"author":52,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[46],"tags":[],"class_list":["post-12494","post","type-post","status-publish","format-standard","hentry","category-studentwork24"],"_links":{"self":[{"href":"https:\/\/handandmachine.org\/classes\/computational_fabrication\/wp-json\/wp\/v2\/posts\/12494","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\/52"}],"replies":[{"embeddable":true,"href":"https:\/\/handandmachine.org\/classes\/computational_fabrication\/wp-json\/wp\/v2\/comments?post=12494"}],"version-history":[{"count":10,"href":"https:\/\/handandmachine.org\/classes\/computational_fabrication\/wp-json\/wp\/v2\/posts\/12494\/revisions"}],"predecessor-version":[{"id":14142,"href":"https:\/\/handandmachine.org\/classes\/computational_fabrication\/wp-json\/wp\/v2\/posts\/12494\/revisions\/14142"}],"wp:attachment":[{"href":"https:\/\/handandmachine.org\/classes\/computational_fabrication\/wp-json\/wp\/v2\/media?parent=12494"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/handandmachine.org\/classes\/computational_fabrication\/wp-json\/wp\/v2\/categories?post=12494"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/handandmachine.org\/classes\/computational_fabrication\/wp-json\/wp\/v2\/tags?post=12494"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}Design Process:<\/h2>\n\n\n\n
Images of forms generated by Grasshopper\/Rhino program and rendered in Rhino:<\/h2>\n\n\n\n
![\"\"](\"https:\/\/handandmachine.org\/classes\/computational_fabrication\/wp-content\/uploads\/2024\/10\/Screenshot-2024-10-06-at-8.10.03\u202fPM-1-276x300.png\")
<\/figure>\n\n\n\n![\"\"](\"https:\/\/handandmachine.org\/classes\/computational_fabrication\/wp-content\/uploads\/2024\/10\/Screenshot-2024-10-06-at-8.07.17\u202fPM-295x300.png\")
<\/figure>\n\n\n\n![\"\"](\"https:\/\/handandmachine.org\/classes\/computational_fabrication\/wp-content\/uploads\/2024\/10\/Screenshot-2024-10-06-at-8.03.05\u202fPM-192x300.png\")
<\/figure>\n\n\n\nImages of final printed artifacts:<\/h2>\n\n\n\n
![\"\"](\"https:\/\/handandmachine.org\/classes\/computational_fabrication\/wp-content\/uploads\/2024\/10\/Screenshot-2024-10-25-at-11.28.11\u202fAM-231x300.png\")
<\/figure>\n\n\n\n![\"\"](\"https:\/\/handandmachine.org\/classes\/computational_fabrication\/wp-content\/uploads\/2024\/10\/Screenshot-2024-10-25-at-11.28.56\u202fAM-229x300.png\")
<\/figure>\n\n\n\n![\"\"](\"https:\/\/handandmachine.org\/classes\/computational_fabrication\/wp-content\/uploads\/2024\/10\/Screenshot-2024-10-25-at-11.29.27\u202fAM-223x300.png\")
<\/figure>\n\n\n\nA reflection on designing the data:<\/h2>\n\n\n\n
Grasshopper Code:<\/h2>\n\n\n\n