Learn how to profile, inspect, clean, transform and export CSV datasets using ScholarTool browser-based data science utilities.
: Struggling with redundant records skewing your data analysis? I demonstrate how to use the ScholarTool Duplicate Row Finder to audit your datasets locally, detect duplicate keys, and export clean CSVs with total browser privacy.
Unscaled data can stall your machine learning models or bias your visualizations. I demonstrate how to use the ScholarTool Data Normalization Tool to audit your datasets locally and apply robust scaling strategies with total browser privacy.
Moving data from a legacy spreadsheet to a web application can often lead to lost identifiers or privacy risks. I demonstrate how to use the ScholarTool CSV to JSON Converter to audit your datasets locally and generate structured JSON with total browser privacy.
Struggling with “garbage in, garbage out” in your data science projects? I show you how to use the ScholarTool CSV Data Profiler to audit your datasets locally, detect missing tokens, and verify data types before you start cleaning.
: “Garbage in, garbage out” is the mantra of data science. I demonstrate how to use the ScholarTool CSV Data Cleaner to audit your raw datasets locally, trim invisible whitespace, and prepare model-ready CSVs with total privacy.
Struggling to identify which features in your dataset are redundant? I demonstrate how to use the ScholarTool Correlation Matrix Calculator to audit relationships locally, handle missing values, and export matrices with total browser privacy.
: Most machine learning models cannot process text labels directly. I demonstrate how to use the ScholarTool Categorical Encoding Helper to transform categories into numeric indicators with total browser privacy.