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Wednesday, September 4, 2019

Codecademy Learn R Review 10/10


#Sample Solution
---
title: "Data Cleaning in R"
output: html_notebook
---

```{r message=FALSE, warning=FALSE}
# load libraries
library(dplyr)
```

```{r}
# load students data frame
load("students.Rda")
```

```{r}
# view head of students
head(students)
```

```{r}
# update age column
students <- students %>% mutate(age = as.numeric(age))
students
```

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