Data Interpretation is an important part of the Quantitative Aptitude section in many competitive exams. It tests the ability to read, understand, and draw conclusions from data presented in the form ...

One option for sharing reports with your team is to simply rattle off numbers. Think something like this: "We allocated 10% of operating budget to maintenance, 15% to hardware upgrades, 18% to ...

Pie charts are typically deemed the least useful type of plot to data scientists during the Exploratory Data Analysis phase of a machine learning project, but in this case I think it works!