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🧵1/8 Loading datasets from various sources is crucial for data analysis. In this thread, we'll explore how to read datasets from different sources and software using R! 📚 #RStats #DataScience Image
🧵2/8 CSV Files: The "read.csv" function is a go-to for reading comma-separated values files. For improved performance and more flexibility, consider using the "read_csv" function from the readr package or the fread function from the data.table package. 📃 #CSV #RStats
🧵3/8 Excel Files: The readxl package provides functions like "read_excel" for reading data from Excel files (.xls and .xlsx). Alternatively, the openxlsx package offers more features, including reading and writing Excel files. 📊 #Excel #RStats
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