Congratulations to our University of Illinois competition winners!
Faculty/Staff Submission : Underrepresented Report Dashboard
Nick O’Dea, Chris Lehman, Sally Mikel, Pam Lowrey, Kris Smith, Nate Wilds, Siew Szetho
A collection of dashboards that visualize the data reported in the University of Illinois System’s Underrepresented Report (which is published annually). It contains a comprehensive profile of the participation and success of University of Illinois students, faculty, and staff by Racial/Ethnic Group, Gender, and Disability. It also contains a Peer Comparison Dashboard which allows for interactive comparison of Underrepresented metrics across different peer groups.
Student Submission: Evolution of Lego Set Complexity Over Time
Sangjun Ko
Analyzing the summary statistics of the Lego sets over time, the mean values for the average number of parts in Lego sets for each year suggests a general trend of increasing complexity. This trend is particularly noticeable in more recent years, indicating a shift towards more intricate and elaborate Lego sets. The standard deviation values offer insights into the variability or dispersion in set complexity. Higher standard deviations in certain years suggest a broader range of complexity, showcasing the diverse nature of Lego sets within those periods. This variability may be influenced by factors such as changes in design techniques, manufacturing capabilities, and evolving consumer preferences. Examining the minimum and maximum values for each year reveals the range of set complexity. By identifying specific years with notable increases or decreases in complexity, one can discern potential periods of innovation or shifts in Lego set design philosophy. The percentiles (25%, 50%, 75%) provide further granularity, offering insights into the distribution of set complexity. The median (50%) indicates the middle value, while the interquartile range (IQR) between the 25th and 75th percentiles illustrates the spread of the central portion of the data. It’s important to consider certain anomalies, such as the presence of negative values in certain years (e.g., 1967), which may signify errors or missing data. Addressing such anomalies is crucial for ensuring the accuracy of the analysis. In summary, the statistics suggest an overall trend of increasing Lego set complexity over the years, with variations that reflect the dynamic nature of Lego design and production.
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