Data Visualization Step 2: Prep

Step 2 - Prep

Clean up and organize the data
Cleaning up the data is an unglamorous but crucial job. In a typical data analysis project, up to 80% of the work takes place in this step. There’s a specific format that a dataset needs to be in before it can be properly analyzed. Getting your data into this format is known as data wrangling and it’s about as much fun as it sounds. The good news is, once you get this part right, everything else gets a lot easier. Having a clean, well-organized data set means that we can now ask real questions of our data—and get back coherent answers.