Tidy Tuesday 52 2020

Thu, 07 Jan 2021 00:00:00 +0000

Hey folks,

this is the first of a series of blog post where I want to participate on the tidytuesday weekly social data project in R.

The intent of Tidy Tuesday is to provide a safe and supportive forum for individuals to practice their wrangling and data visualization skills independent of drawing conclusions.

The goal of this series is to help me

practice data visualization and data wrangling in R (R Core Team (2019)) using the tidyverse (Wickham et al. (2019))
adopt this skillset to learn Python
master to publish the applications using R Markdown

R code

Check the R code below:

lm(mpg ~ drat, data = mtcars)

Stata code

regress y x

R output

##
## Call:
## lm(formula = mpg ~ drat, data = mtcars)
##
## Coefficients:
## (Intercept) drat
## -7.525 7.678

References

R Core Team. 2019. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.R-project.org.

Wickham, Hadley, Mara Averick, Jennifer Bryan, Winston Chang, Lucy D’Agostino McGowan, Romain François, Garrett Grolemund, et al. 2019. “Welcome to the tidyverse.” Journal of Open Source Software 4 (43): 1686. https://doi.org/10.21105/joss.01686.

rmarkdown | AKitsche Blog

Tidy Tuesday 52 2020

References