some rewording

Author: rcurty

exploring.qmd

@@ -2,7 +2,7 @@
 title: "Exploring Data Types & Facets"
 ---
 
-Now, let’s dive into one of the most powerful and defining features of OpenRefine—**facets**—which also explains why its logo is shaped like a diamond.
+Now, let’s dive into one of the most powerful and defining features of OpenRefine—**facets**—which also explains why its logo is shaped like a diamond. Facets can be metaphorically understood as **aspects or angles of data variance** in a given column
 
 *Faceting* is a method of exploring and filtering data to better understand its structure and content. It allows us to more easily spots errors and outliers in the data. By applying multiple filters, you can quickly uncover patterns and inconsistencies, and isolate specific subsets of data for closer inspection or bulk editing. A facet groups together all the similar values within a column, allowing you to easily filter and refine your dataset. It’s also incredibly useful for editing values across many records at once.
 

setup.qmd

@@ -6,7 +6,7 @@ title: "Setup & Installation"
 
 ## Why OpenRefine?
 
-[OpenRefine](https://openrefine.org) is a powerful open-source multi-platform and free data cleaning and transformation tool. It helps users explore, clean, and refine data, making it easier to analyze and prepare for further use with no coding skills required.
+[OpenRefine](https://openrefine.org) is a powerful open-source multi-platform and free data cleaning and transformation tool which can handle large datasets (\~100,000 rows) depending on memory allocation. It helps users explore, clean, and refine data, making it easier to analyze and prepare for further use with no coding skills required.
 
 OpenRefine treats all data as plain text by default, meaning it won’t automatically interpret or convert data types unless explicitly instructed to do so. This approach avoids common issues seen in tools like Excel, which auto-converts certain strings—such as gene names like "MARCH1"—into dates, leading to data corruption in scientific research[^1]. By requiring deliberate data type transformations, OpenRefine offers better control to researchers and helps preserve data integrity.