Midterm
The data used to create this dashboard was sourced from The Tate Collection on Github. This dataset was last updated in October 2014 and contains the metadata for about 70,000 artworks that Tate owns or jointly owns with the National Galleries of Scotland as part of ARTIST ROOMS along with metadata for around 3,500 associated artists.
I performed an inner join for the two datasets, artist_data.csv and artwork_data.csv, linking the data by the artist names. I found that Joseph Mallord William Turner was overrepresented in the data, as over half ofThe Tate Collection are comprised of his works. I removed him from the dataset to allow for a clearer picture of the other data points. The rest of the cleaning I did was to format the years and edit the data and urls, and removing columns. The resulting dataset contained 24,513 rows.
I decided that I wanted the user to be able to change the visualizations based on what they wanted to focus on as there were multiple aspects from which to approach the data. Using PowerBI, the audience has the ability to select filters and slice the data in the way that they see fit.
A few takeaways from this view is that there is a serious underrepresentation of women and non-European artists within The Tate Collection. Looking at the map of birthplaces, you’ll find a heavy concentration on Europe, while large swathes of Africa and Asia remain unpopulated by the blue blobs that represent an artist’s birthplace. When it comes to yearly acquisitions, women never outnumber men. The most featured woman, Dame Elisabeth Frink, has 125 pieces while, aside from JWM Turner, the second-most featured man , George Jones has 1046 pieces.
While learning about the gender inequalities, I wanted a way for the audience to also appreciate the artworks. Right in the middle of the dashboard is a high quality picture of an artwork by the artist selected, while the wheel on the right displays a collage of sorts of all the pieces that fall into the category. This allows for the audience to draw connections between an artist or a time period and their palettes. Alexander Cozens for example, loves his browns. The table right at the top gives the birth and death years and locations, tying in the artist’s life and giving context.
