practice_oct14

Introduction

Iris dataset is a set of information about 3 types of flowers and the sepal and petal length/width of each

Data Analysis

Today I am filtering Iris’ petal width above 3 and then creating a basic scatterplot

Wrangling

library(tidyverse)

## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
## ✔ dplyr     1.1.4     ✔ readr     2.1.5
## ✔ forcats   1.0.0     ✔ stringr   1.5.2
## ✔ ggplot2   4.0.0     ✔ tibble    3.3.0
## ✔ lubridate 1.9.4     ✔ tidyr     1.3.1
## ✔ purrr     1.1.0     
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag()    masks stats::lag()
## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors

iris  %>% 
  filter(
    Petal.Width > 3
  ) 

## [1] Sepal.Length Sepal.Width  Petal.Length Petal.Width  Species     
## <0 rows> (or 0-length row.names)

Plotting

plot(
  x = iris$Petal.Width,
  y = iris$Petal.Length,
)