Data Visualization

Once the data has undergone preprocessing and preparation, the subsequent stage in the realm of materials and catalysts informatics involves a crucial step known as data visualization. This process plays a pivotal role in unraveling various factors pertaining to the data, including its structure, frequency, bias, and variance. By employing visual techniques, valuable insights can be gleaned prior to the application of machine learning algorithms or further data science methodologies. Consequently, this chapter delves into the realm of data visualization within the specific context of materials and catalyst informatics, utilizing the versatile programming language Python as a powerful tool in this endeavor.