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  23 Dashboard Design Principles & Best Practices To Enhance Your Data Analysis The rise of innovative, interactive, data-driven dashboard tools has made creating effective dashboards – like the one featured above – swift, simple, and accessible to today’s forward-thinking businesses. Enter the world of dashboard design and its principles. In the digital age, there’s little need for a department of IT technicians, plus a qualified graphic designer, to create a dazzling data dashboard. However, if you want to enjoy optimal success, gaining a firm grasp of logical judgment and strategic thinking is essential – especially regarding dashboard design principles. At this point, you have already tackled the biggest chunk of the work – collecting data, cleaning it, consolidating different data sources, and creating a mix of useful metrics. Now, it’s time for the fun part. Here, you can get carried away by your creativity and design a pretty, dazzling, colorful dashboard. To t...

  4 Levels of Measurement: Nominal, Ordinal,Interval & Ratio When carrying out any kind of data collection or analysis, it’s essential to understand the nature of the data you’re dealing with. Within your dataset, you’ll have different variables— mezzanine floor in kolkata    and these variables can be recorded to varying degrees of precision. This is what’s known as the level of measurement. There are four main levels of measurement:  nominal ,  ordinal ,  interval , and  ratio . In this guide, we’ll explain exactly what is meant by levels of measurement within the realm of data and statistics—and why it matters. We’ll then explore the four levels of measurement in detail, providing some examples of each. Want to skip ahead? Just use the clickable menu. What are levels of measurement in data and statistics? Why are levels of measurement important? What are the four levels of measurement?  Nominal level Ordinal level Interval level Ratio level...