{
"title": "Clean your data efficiently using Python",
"description": "In this fourth session of the Programming Café, you learned how to identify and correct errors in your raw data. We demonstrated how to examine your data, identify and correct unwanted characters or spelling errors, merge columns, and rename columns using the pandas package. Additionally, we explored how to write code that logs changes in your data.",
"author": "Helena Wedig",
"primary language": "en",
"keywords": "Data Cleaning, Python, Training, Research",
"license": "CC BY-SA 4.0",
"version data": "1.0",
"URL": "https://eur-nl.github.io/rs_training/DataCleaning.html",
"DOI": "10.5281/zenodo.19496686",
"Resource URL Type": "Website",
"Target Group": "Researchers",
"Learning Resource Type": "Training Script",
"Learning Outcome": "Learner will be able to clean their data using Python",
"Access Cost": "N",
"Expertise Level": "beginner"
}