Graphics Reporting and Data Visualization
Yingshi (Dennis) Lew
|
Data visualization and effective data storytelling are key components in conforming to today’s increasing demand for clear and accurate information. This project highlights the importance of using data, research, and storytelling to shed light on social issues across the United States, as well as globally. For my exploration, I focused on using Tableau Prep and Python to tidy and explore the data in a systematic way through the means of exploratory data analysis. In addition, the outcomes were also visualized using Tableau and Python’s Seaborn package. Tableau and Python were compared regarding their efficiency and effectiveness of producing visualizations. The reporting method used for this project is a blog site that showcases both the visualizations and the outcomes. The intent behind this mode of graphical reporting is so that people can read and learn about the prevalent social issues. Throughout this project, the outcomes illuminate the racial and gender disparities embedded in the various social issues that were highlighted. Though much work remains to be done to alleviate these problems, more and more people today are using data to help spread awareness and offer data-driven solutions.
|
| |
Kriging and ArcGis Pro: A Geostatistical Introduction
Andrea (Dre) Lo Biondo
|
|
|
ArcGis Pro is one of the most common packages that are utilized in the GIS (Geographic Information Systems) field, offering plenty of tools to analyze and interact with data. Some insight about its main features will be provide, along with a brief description of kriging and its application to earthquake data.
|
