R$-$should be used as the tool. This data approaches student achievement in secondary education of two Portuguese schools. The data attributes include student grades, demographic, social and school related features, and it was collected by using school reports and questionnaires. Two datasets are provided for two distinct subjects: Mathematics and Portuguese.

USE R and RSCRIPT to solve this

Datasets: Portuguese Download Portuguese, MathematicsDownload Mathematics

Data DictionaryDownload $```$

# Attributes for both student$-$mat.csv $($Math course$)$ and student$-$por.csv $($Portuguese

language course$)$ datasets:

$1$ school $-$ student's school $($binary: $"$GP$"-$ Gabriel Pereira or $"$MS$"-$ Mousinho da

Silveira$)$

$2$ sex $-$ student's sex $($binary: $"$F$"-$ female or $"$M$"-$ male$)$

$3$ age $-$ student's age $($numeric: from $15$ to $22)$

$4$ address $-$ student's home address type $($binary: $"$U$"-$ urban or $"$R$"-$ rural$)$

$5$ famsize $-$ family size $($binary: $"$LE$3"-$ less or equal to $3$ or $"$GT$3"-$ greater than

$3)$

$6$ Pstatus $-$ parent's cohabitation status $($binary: $"$T$"-$ living together or $"$A$"-$

apart$)$

$7$ Medu $-$ mother's education $($numeric: $0-$ none, $1-$ primary education $(4$th grade$),$

$2\}\backslash$mathrm$\{-5$th to $9$th grade, $3-$ secondary education or $4-$ higher education$)$

$8$ Fedu $-$ father's education $($numeric: $0-$ none, $1-$ primary education $(4$th grade$),$

$2\}\backslash$mathrm$\{-5$th to $9$th grade, $3-$ secondary education or $4-$ higher education$)$

$9$ Mjob $-$ mother's job $($nominal: "teacher", "health" care related, civil "services"

$($e$.$g$.$ administrative or police$),"$at$\_$home" or "other"$)$

$10$ Fjob $-$ father's job $($nominal: "teacher", "health" care related, civil "services"

$($e$.$g$.$ administrative or police$),"$at$\_$home" or "other"$)$

$11$ reason $-$ reason to choose this school $($nominal: close to "home", school

"reputation", "course" preference or "other"$)$

$12$ guardian $-$ student's guardian $($nominal: "mother", "father" or "other"$)$

$13$ traveltime $-$ home to school travel time $($numeric: $1-<mn>1</mn><mn>5</mn>$ min., $2-15$ to $30$

min., $3-30$ min. to $1$ hour, or $4->1$ hour$)$

$14$ studytime $-$ weekly study time $($numeric: $1-<mn>2</mn>$ hours, $2-2$ to $5$ hours, $3-5$ to

$10$ hours, or $4->10$ hours$)$

$15$ failures $-$ number of past class failures $($numeric: n if n else $4)$

$```$

$```$

$17$ famsup $-$ family educational support $($binary: yes or no$)$

$18\backslash$text $\{$ paid $-$ extra paid classes within the course subject $($Math or Portuguese$)\}$

$($binary: yes or no$)$

$```$

$```$

$20$ nursery $-$ attended nursery school $($binary: yes or no$)$

$21$ higher $-$ wants to take higher education $($binary: yes or no$)$

$22\backslash$text $\{$ internet $-$ Internet access at home $($binary: yes or no$)\}$

$23\backslash$text $\{$ romantic $-$ with a romantic relationship $($binary: yes or no$)\}$

$24\backslash$text $\{$ famrel $-$ quality of family relationships $($numeric: from $1-$ very bad to $5-\}$

excellent$)$

$25$ freetime $-$ free time after school $($numeric: from $1-$ very low to $5-$ very high$)$

$26\}\backslash$mathrm$\{$ goout $-$ going out with friends $($numeric: from $1-$ very low to $5-$ very high$)$

$27\backslash$text $\{$ Dalc $-$ workday alcohol consumption $($numeric: from $1-$ very low to $5-$ very high$)\}$

$28$ Walc $-$ weekend alcohol consumption $($numeric: from $1-$ very low to $5-$ very high$)$

$29\backslash$text $\{$ health $-$ current health status $($numeric: from $1-$ very bad to $5-$ very good$)\}$

$30$ absences $-$ number of school absences $($numeric: from $0$ to $93)$

$```$

$\backslash$# these grades are related with the course subject, Math or Portuguese:

$31$ G$1-$ first period grade $($numeric: from $0$ to $20)$

$31$ G$2-$ second period grade $($numeric: from $0$ to $20)$

$32$ G$3-$ final grade $($numeric: from $0$ to $20,$ output target$)$

Additional note: there are several $(382)$ students that belong to both datasets $.$ These students can be identified by searching for identical attributes that characterize each student, as shown in the annexed R file.