Frank Lloyd Wright's Work

Week 12 Viz

Posted by David Velleca on May 25, 2018

Data Storytelling and Data Viz Approach

This dataset was pretty straight forward - it lent itself well to mapping, and looking at the number of buildings by dimensions. For the map, I chose to use a symbol map. The symbols (or shapes in the Tableau vernacular) indicate the purpose of the building - residential, commercial or civic - and the color of the shape is driven by the time period buckets that were included in the dataset. This map can be filtered by the user interacting with two sets of BANs that I used in place of legends. The first BAN breaks out the number of buildings by time period. Clicking on any number on the BAN filters all but the bottom viz (it highlights the corresponding point on the line graph). The second BAN uses the shapes in the map and calls out the number of buildings by purpose. Again, this viz can interact with all of the others on the dashboard through a click action.

The map employs one more level of interactivity. Clicking on any of the symbols will take the user to the property's site on the Frank Lloyd Wright Foundation's Website through URL actions. The last viz on the dashboard is a line graph, breaking out the number of buildings designed by time period.

For the header, I created an image using a font similar to one that Wright himself designed. Additionally, all of the colors on the viz are pulled from PPG Paint's Frank Lloyd Wright 1955 Taliesin Color Palette - a unique palette of colors inspired by one of Wright's own homes.

Data Source

The dataset this week was sourced from the Frank Lloyd Wright Foundation's Website. Please be sure to cite the source on your viz

Data Notes

The information included in the dataset is taken from the Frank Lloyd Wright Foundation's Website. It is inclusive of only the works included on the site, and does not include some of the works listed as designed by Frank Lloyd Wright on other sources like Wikipedia. I decided to stick to the Foundation's website to ensure a quality datasource. Having said that, there are some call outs to make on this dataset, particularly the Year column. The information in this column varies from the year designed to the year the structure was built. Due to this, I included a Design Time Period (gleaned from the site) in an effort to normalize the information.