 Thank you for joining us today. Hi, my name is Shouying Xin. I am a data analyst at Penn State University Libraries. I'm joined by my colleague, Cynthia Botali, the former head research informatics and publishing at Penn State University Libraries and the current director of scholarly communications at the Association of Research Libraries. We are excited to talk with you about some recent work we have launched at Penn State University Libraries around support for data analysis, data analytics and visualization. The research informatics and the publishing was launched in 2018, and it reflects the analytical and the publishing services the team provides. Broadly, the department includes Center for Black Digital Research, Digital Humanities Services, Research Data Services, Open Publishing Services, the MAP and GIS, and the Data Learning Center. We provide training, consultations, reference transactions, project support, and infrastructure. In addition to people and infrastructure, we have launched an advanced analytics and visualization digital lab in January 2020. The lab is equipped with computers and a number of specialized software for community members to use to conduct data analysis and visualization projects. We dig into the Data Learning Center a bit more. We provide services for data analytics and visualization, statistical consultations, data management, data archiving and preservation, data geospatial mapping and analysis services. This is data and the information that's showing where our services have mostly heavily engaged in the last year. As you can see, we have mainly worked with graduate faculty, undergraduate students, postdoc and staff for their thesis and dissertation work or research projects, class projects, grant development or cost development by providing quantitative analysis including data analytics and statistical analysis. We also provide technical support, qualitative analysis, data management and data curation services. This pie chart on the left is showing that we have mainly worked with researchers from liberal arts, agriculture, health and human development, engineering, education, science, medicine, etc. And we have provided a lot of support for using software tools for researchers to analyze and visualize their data for their project. Compared to the consultation services we provide, the reference services we provide have been focusing on data management, quantitative analysis followed by quantitative analysis, technical support, information discovery and open publishing. And again, we have mainly worked with graduate students, faculty, staff and undergraduate students. Our data analytics and visualization service is one of the newest service offerings that came into development after a comprehensive and institutional wide landscape analysis of the existing support for data science, including big data analytics. And we continue to collect data on services, identify gaps and partner with colleagues such as the Institute for Computational and Data Sciences. And the data analyst at Penn State University Libraries who provide workshops, one-on-one consultation and a guest lecture for using data analytics and visualization tools such as Power BI, Tableau, SQL Server and its business intelligence suite, Microsoft's Access and Excel and some other BI tools. We also provide support for big data analytics tools such as Google Cloud Platform or GCP, Microsoft Azure and Amazon Web Services or AWS. This is an example visualization we have created using Power BI based on COVID-19 data. The scatter plot animation is comparing confirmed cases versus mortality in each state from March to September of 2020. The next visualization is a dashboard with interactive videos such as map bar launchers to show confirmed cases versus mortality rate. When we click a location on the map, the other two videos will update accordingly to show data just for that specific location. Lastly, we want to thank these units and individuals for the support of the data analysis, data analytics and visualization initiatives at Penn State University Libraries. Thank you for your time. Have a good day.