Data Cleaning
Identifying, collecting, and cleaning data is paramount to successful data visualization. With so much data and so many interconnected activities, filtering and cleaning data is critical for today’s decision makers. Data cleaning starts with understanding the underlying location, condition, and type of data available and ends with a validated data scheme and repository.