My project was to examine all of the oil paintings in the Tate museum collection between 1990 and 2000, displaying a picture of the art throughout time and giving information about the artist and the work. The data source for this project was the Tate Collection data set, which was availible on GitHub. This data is a snapshot of all the peices of art in the Tate collection as of 2014, and has not been updated since then, but is still valuable considering the vast size of the collection at that time, and considering that many of the works are still in the collection. This dataset also links to an information page that is maintained by Tate, which gives a short description of the work and also supplies the pictures that I use in my visualization, and is availible in the timeline above as a link. In order to process this data, I had to search within the medium category for any medium that had the words “oil paint” within it. Because the medium category is very specific for each work, there were many works that would have other words before and after “oil paint”, and as such I had to use a regular expression to filter through the rows in Google Sheets. I did this by applying a custom script to the imported csv, which identified only the rows that had “oil paint” as a substring in the medium category. I then had to delete many of the lines of information and relabel each column so that it aligns with the Timeline JS input format. I also had to make a new column that combined several categories (with a line break) so that it would properly display the information on the work in the appropriate box, which I did using Google Sheets equations. Additionally, the data was not fully usable, and the links to the media sources (the pictures of the artwork) initially appeared not to work. After some testing, I realized if I changed the start of the link, it would properly display the image, so I had to do this for all of that column in the dataset. For my presentation, Timeline JS made it very easy to embed the timeline into this website, which makes it fully interactive for the user and easy for them to explore, which is why I used the timeline software in the first place. The significance of this project is that it allows users to go trhough and see how oil painting changed in this 10 year period, and how the styles and artwork evolved. Seeing the art in terms of the year when it was made is significant for appreciating the history of art and painting specifically and how the medium changes as a whole and starts to get more modern at the turn of the century. This kind of visualization is improtant to digital arts and humanities because it shows how art, especially pieces displayed in museums, can be visualized online such that it gives access to more people, and allows us to more easily see patterns such as changes across time, which can be much more difficult to do in a physical location where art is grouped in other ways and is not directly comparable to other pieces.