Wikipedia Data - Transformation (Series 1)
In the last post, we discussed the importance of data extraction (bringing data into R or Python from the internet or any source). Data transformation is an essential skill for any high school student looking to stand out when coming to college. Data transformation is the process of cleaning and organizing data so that informative conclusions can be drawn based on the aggregation, visualization, or analysis of the data.
One example of data transformation is cleaning the population of each county column. For example, we must remove commas within the population variable and turn the population variable into a numeric one. This will make it easier to create meaningful visualizations and analyses with the data.
Data transformation is an essential skill for any student looking to succeed in college. With the right data and the right software, students can create meaningful visualizations and analyses that can help them stand out when it comes time to apply to college. With data transformation skills, students can demonstrate to college admissions officers that they are prepared to take on a college-level data analysis course. Data transformation is an essential skill for any student looking to succeed in college, and the earlier they gain this skill, the better.