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What is Data Cleaning? 

Data cleaning is the process of preparing "messy data" for analysis and visualization. Data cleaning tools use computational methods to handle blank (null) values, merge datasets, and flag typos or misspelling.

What is Data Visualization? 

Visualizations help researchers better understand patterns in the data and share those findings with others. These visualizations include a multitude of types of graphs, charts, network, diagrams, and more.