Easy R rpogramming: Analysis of data: import,summary,visualistion.hypothesis testing and reporting

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In this video, I demonstrated how easy it is to analyze data using R programming using a simulated data set. here have explained almost all the steps in data processing.

1. importing data
2. summarising data using base R functions and creating summary tables using gtsummary package and psych package
3. summarising data using dplyr function groupby() and summarise functions
3. tidying the data using pivote_longer function of tidyr
4. visualised the using ggplot2: histogram, density plot, boxplot, etc
5. hypothesis testing : t-test and ANOVA: one-way and two way
6. interpreting outputs of t-test t-stat, pvalue and CI
7. getting text interpretation using report() function of report package and plot() method by webr package
7. Interpreting ANOVA output using report package
8. creating HTML report of the script using rmarkdwon render function.
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link for data set used in this video
https://drive.google.com/file/d/1ig5n...

link for data set description used in this video
https://drive.google.com/file/d/1Nrex...

link for R script used in this video
https://drive.google.com/file/d/1cNC_...

link for HTML report of the script: https://drive.google.com/file/d/1uVZi...

( Both the HTML files are created using Rmarkdown)

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