Data visualization is the art of organizing and presenting data visually compellingly. It makes it easier for anyone—regardless of their technical background—to interpret patterns, trends, and ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

AIM: To install and configure data analysis and visualization tools such as Python (with Jupyter Notebook, Pandas, Matplotlib), R (with RStudio, ggplot2, dplyr), Tableau Public, and Power BI, to ...