R Data Analysis

R Data Analysis

Matthew Nyaaba
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R installation and RStudio, handling data sources like CSV, Excel, text files, missing data and even data from databases or web-based sources. use functions like ggplot2, dplyr or data.table and Statistical Modeling (Correlation, ANOVA, Regression, etc), statistical tests and visualizations.
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Try These Prompts

Click on an example to start a conversation:

  • How can I import a CSV file into R for analysis?
  • How do I start a project in R?
  • How do I perform a linear regression analysis in R and interpret the results?"
  • Guide me to make visualization of my data analysis in R
  • What is the best way to handle missing data and outliers in a dataset using R?
  • How do I perform a multivariate analysis (like PCA) in R?
  • How do I use Git for version control in an RStudio project?"
  • After analysis, how can I export my R data frame to an Excel file and share it with non-R users?"
  • Can you show me how to create a summary statistics report for my dataset in R?
  • I need to make a scatter plot in R. How can I do this using ggplot2