Tidy Tuesday 52 2020
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 7.678References
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.
