In this session we will use Pandas to manipulate and pivot our BQL data, then Plotly to create our heatmap. Kathleen is a Solutions Developer at Bloomberg, where she helps clients leverage Bloomberg’s ...

Materials science is an interdisciplinary field concerned with the understanding and application of the properties of matter. Materials scientists study the connections between the underlying ...

This second course of the Data-Driven Decision Making (DDDM) series provides a high-level overview of data analysis and visualization tools, preparing learners to discuss best practices and develop an ...

How can an organization be data rich, yet information poor? One very likely culprit: maintaining data in its original, difficult-to-interpret form. This course explores the benefits of using simple ...

Thomas J Catalano is a CFP and Registered Investment Adviser with the state of South Carolina, where he launched his own financial advisory firm in 2018. Thomas' experience gives him expertise in a ...

Who's the real main character in Shakespearean tragedies? Here's what the data say Martin Grandjean's data visualizations look at the relationships between characters in Shakespearean tragedies.

Find historical weather by searching for a city, zip code, or airport code. Include a date for which you would like to see weather history. You can select a range of dates in the results on the next ...