knitr::opts_chunk$set(echo = TRUE)

library(ggplot2)
library(dplyr)
## 
## Attaching package: 'dplyr'
## The following objects are masked from 'package:stats':
## 
##     filter, lag
## The following objects are masked from 'package:base':
## 
##     intersect, setdiff, setequal, union
library(tidyr)
library(tidyverse)
## -- Attaching packages --------------------------------------- tidyverse 1.3.0 --
## v tibble  3.0.4     v stringr 1.4.0
## v readr   1.4.0     v forcats 0.5.0
## v purrr   0.3.4
## -- Conflicts ------------------------------------------ tidyverse_conflicts() --
## x dplyr::filter() masks stats::filter()
## x dplyr::lag()    masks stats::lag()
library(knitr)

#reading in merged Physics   File -- with only the columns needed

setwd("C:/Users/BlaiseSevier/Desktop/R Work")

filePhy <- "Physics.csv"

getwd()
## [1] "C:/Users/BlaiseSevier/Desktop/R Work"
Phy.sch <- read.csv(filePhy)

### How to set your working directory 
## In quotation marks, ("C: /Users/BlaiseSevier/Desktop/R Work")

setwd("C:/Users/BlaiseSevier/Desktop/R Work")

els.k12 <- 5296851
nonel.k12 <- 45625438


#Total Number of Students in HS
tot_enrol_hs <- 14183488
#Total Number of Non-Els in HS
non.el.hs <- 13108063
#Total Number of LEP in HS 
tot_lep_hs <- 1075425

CRDC Survey Information

For more information about the school form see: https://www2.ed.gov/about/offices/list/ocr/docs/2017-18-crdc-school-form.pdf.

TOT_SCIENR_PHYS_M Students Enrolled in Physics: Calculated Male Total TOT_SCIENR_PHYS_F Students Enrolled in Physics: Calculated Female Total SCH_SCIENR_PHYS_LEP_M Students Enrolled in Physics: LEP Male SCH_SCIENR_PHYS_LEP_F Students Enrolled in Physics: LEP Female

Change Code from 0s to 9s

#Code to change the -9s to 0s

Phy.sch[Phy.sch==-9]<-0

Physics

Non-English Learner Male Students Enrolled in Physics Courses

#Computes the total number of a non-English Learner male students in Physics  courses

#dat$NonELM<- (dat$TOT_ENR_M - dat$TOT_LEPENR_M)

Phy.sch$NonELM <- (Phy.sch$TOT_SCIENR_PHYS_M - Phy.sch$SCH_SCIENR_PHYS_LEP_M)

sum(Phy.sch$NonELM)
## [1] 856816
#There are 856,816 Non-English Learner Male Students Enrolled in Physics

Non-English Learner Female Students in Physics

#Total female non-EL 
#dat$NonELF <-dat$TOT_ENR_F-dat$TOT_LEPENR_F

Phy.sch$NonELF <- (Phy.sch$TOT_SCIENR_PHYS_F - Phy.sch$SCH_SCIENR_PHYS_LEP_F)
sum(Phy.sch$NonELF)
## [1] 727532
#There are 727,532 Non-English Learner Females Enrolled in Physics courses.

Total Non ELs in Physics

#total non EL
#dat$NonEL<-dat$NonELF + dat$NonELM

Phy.sch$NonEL <- Phy.sch$NonELF + Phy.sch$NonELM

non.el.Phy <- sum(Phy.sch$NonEL)
non.el.Phy
## [1] 1584348
#There are 1,584,348 Non-English Learners Enrolled in Physics

English Learners in Physics

English Learner Males in Physics

#Total Lep Male in Physics  

#dat$ELMGT <- dat$SCH_GTENR_LEP_M

Phy.sch$ELM.Phy <- Phy.sch$SCH_SCIENR_PHYS_LEP_M

sum(Phy.sch$SCH_SCIENR_PHYS_LEP_M)
## [1] 45871
sum(Phy.sch$ELM.Phy)
## [1] 45871
## There is 45,871 English Learner Males in Physics

English Learner Females in Physics

#Total LEP Female in GT
#dat$ELFGT <- dat$SCH_GTENR_LEP_F

Phy.sch$ELF.Phy <- Phy.sch$SCH_SCIENR_PHYS_LEP_F

sum(Phy.sch$ELF.Phy)
## [1] 33637
## There are 33,637 EL Females in Physics  Classes

Total English Learners in Physics

#dat$ELEnrol <- dat$TOT_LEPENR_M + dat$TOT_LEPENR_F

Phy.sch$ELEnrolPhy<- Phy.sch$ELM.Phy + Phy.sch$ELF.Phy

els.Phy <- sum(Phy.sch$ELEnrolPhy)

sum(els.Phy)
## [1] 79508
## There is 79,508 English learners in Physics

Percentage of ELs and Non ELs in Physics Courses

#Percetage of ELs in Physics  in HS is 7%

round(els.Phy/tot_lep_hs*100,2)
## [1] 7.39
#Percentage of ELs in Phy in K-12 1.5%
round(els.Phy/els.k12*100,2)
## [1] 1.5
#Percentage of non-ELs in Phy is 12% in HS
round(non.el.Phy/non.el.hs*100,2)
## [1] 12.09
#Percentage of non-ELs in Phy in K-12 is 3%
round(non.el.Phy/nonel.k12*100,2)
## [1] 3.47