InterWeaving
MAT 259, 2016
Nefeli Manoudaki
Concept
This visualization aims to explore the relationship between traditional art forms, such as textile art, and modern technological fields like AI. The study will examine the Seattle library checkout patterns to gain insights on this topic.
Query
SELECT
o.title,
o.itemtype,
DATE(o.cout) AS CheckoutDate,
HOUR(o.cout) AS CheckoutHour,
TIMESTAMPDIFF(HOUR, o.cout, o.cin) AS CheckoutDurationHours,
o.deweyClass
FROM
spl_2016.inraw o
WHERE
(LOWER(o.title) LIKE '%artificial intelligence%'
OR LOWER(o.title) LIKE '%machine learning%'
OR LOWER(o.title) LIKE '%neural networks%'
OR o.deweyClass IN ('006.3'))
AND o.cout >= '2021-01-01'
AND o.cout < '2024-01-01'
ORDER BY o.cout;
Preliminary sketches
The data indicated a cleared disparity in the volume of available resources for Textile Art compared to artificial Intelligence, suggesting a broader range of choices for the former. Both categories exhibited a similar pattern, including a significant drop in checkouts towards the end of 2022. This drop could indicate either a data recording error or a temporary closure of the library. A peak in interest for Artificial Intelligence was observed at the beginning and middle of 2023. Interestingly, this peak coincided with a dip in the Textile Arts category, after which both categories returned to their usual patterns. The observed declining trend might be attributable to data recording errors.
Process
The original assorted data were using:
-X axis: max cout
-Y axis: dewey Class
-Z axis: max cout hours
This was causing some clustering in the dewey Class because of the nature of the titles they tend to be in the same dewey classification and most also, most of the titles had a similar checkout number.
In order to get a more aesthetically pleasing result closer to the concept of weaving, a bigger amount of data are needed. Changing the query search, including more *keywords* realted to each of the topics will propably give better results.
Final result
The final result shows the relationship between the topic of AI and textile art in an inter-weaving way from 2021 to 2023. The user can see each entry for each topic based on its popularity. Because of the density of the data, there is an 'expand' slider to scale the length of the box. Also, there are buttons to switch between the two topics.
Code