library(tidyverse)
## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
## ✔ dplyr 1.1.2 ✔ readr 2.1.4
## ✔ forcats 1.0.0 ✔ stringr 1.5.0
## ✔ ggplot2 3.4.2 ✔ tibble 3.2.1
## ✔ lubridate 1.9.2 ✔ tidyr 1.3.0
## ✔ purrr 1.0.1
## ── 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
setwd("/Users/smhenderson/Desktop/DATA101/R/Data101/data")
mnms <- read.csv("MnM_Data.csv")
dim(mnms)
## [1] 382 6
str(mnms)
## 'data.frame': 382 obs. of 6 variables:
## $ student_id : chr "AP_LV" "AP_LV" "AP_LV" "AP_LV" ...
## $ id : int 1 2 3 4 5 6 7 8 9 10 ...
## $ color : chr "r" "r" "r" "r" ...
## $ defect : chr "c" "l" "z" "z" ...
## $ total : int 27 27 27 27 27 27 27 27 27 27 ...
## $ weight_grams: int 40 40 40 40 40 40 40 40 40 40 ...
glimpse(mnms)
## Rows: 382
## Columns: 6
## $ student_id <chr> "AP_LV", "AP_LV", "AP_LV", "AP_LV", "AP_LV", "AP_LV", "AP…
## $ id <int> 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17…
## $ color <chr> "r", "r", "r", "r", "r", "o", "o", "o", "o", "o", "y", "y…
## $ defect <chr> "c", "l", "z", "z", "z", "l", "z", "z", "z", "z", "z", "z…
## $ total <int> 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 2…
## $ weight_grams <int> 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 4…
summary(mnms)
## student_id id color defect
## Length:382 Min. : 1.0 Length:382 Length:382
## Class :character 1st Qu.:10.0 Class :character Class :character
## Mode :character Median :20.0 Mode :character Mode :character
## Mean :22.8
## 3rd Qu.:35.0
## Max. :55.0
## total weight_grams
## Min. :18.00 Min. :25.00
## 1st Qu.:27.00 1st Qu.:40.00
## Median :54.00 Median :48.00
## Mean :45.01 Mean :44.25
## 3rd Qu.:55.00 3rd Qu.:50.00
## Max. :56.00 Max. :50.00
max(mnms$weight_grams, na.rm = TRUE)
## [1] 50
min(mnms$weight_grams)
## [1] 25
mean(mnms$weight_grams, na.rm = TRUE)
## [1] 44.24607
table(mnms$color, mnms$defect)
##
## c l m z
## bl 7 13 4 58
## br 2 3 0 51
## g 5 10 1 35
## o 6 8 2 71
## r 6 4 1 36
## y 7 4 1 47
dens <- density(mnms$weight_grams)
hist(mnms$weight_grams, freq = FALSE)
lines(dens)
