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Dplyr & ggplot2

26/09/2020 Client: ericsermon1000 Deadline: 3 days

# Assignment 


# StudentGrades dataset contains data about student exam scores


# in a school district. Upload it to your Rstudio and 


# read the data set into memory using the following code:


d = read.csv("StudentGrades.csv")


View(d)




# Questions


# Use dplyr and ggplot2 packages to answer the following 


# questions.




library(dplyr)


library(ggplot2)




# 1) Create a histogram of math scores for females in ethnicity Group A.










# 2) Create a boxplot of a weighted score which is calculated


#    as wScore = 0.30*reading score + 0.30*writing score + 0.40*math score


#    for male students whose parents are master degree educated. 


#    In the x-axis, we want to see test prep course variable. Also, put


#    y-axis label as "Weighted Score". 












# 3) We are wondering if reading and writing skills go hand in hand.


#    To investigate this visually, create a scatter plot, with reading


#    scores in the x-axis and writing in the y axis. Use color blue for


#    dots in the chart and transparency level is 0.3. Then, put one


#    vertical line going through the mean of reading score, and


#    one horizontal going through the mean of writing score, both in


#    black color.












# 4) We are wondering about mean math scores for each parent education


#    level. Calculate these mean values (meanMath) using group_by() and


#    summarize() functions first, then pipe the resulting data to ggplot


#    to create a bar chart using parent education in the x-axis,


#    and meanMath in the y axis.











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