Visualization is key aspect of data analysis and communication, and has been an integral part of my scientific and business data analysis work. From dynamic dashboards for regular decision making with real time data sources, to curated graphics designed to tell a story, to monitoring data quality, visualizations can quickly highlight patterns and flag issues. Throughout my career I have regularly used R (Shiny, ggplot2, plotly, base graphics), Python (matplotlib, seaborn, Django, plotly), Sisense Periscope, Tableau, and Excel for developing data visualizations and dashboards.