BUSA8000
Assesssment 1 - COVID-19 impact on digital learning
1. Data Cleaning and Wrangling
Describe and show the data cleaning, transformation and wrangling process’ that you have completed. Ensure you provide justification of any data handling and transformation you have completed.
you can embed your transfomration code and provide justification like this:
example: This code creates x and y variable, i have created these variable so that i can add these to my data frame. and compute the required measures. Please remember to use comments in your code.
x <- 1:10 # create an x variable
y <- 10:1 # create a y variable
dataf <- data.frame(x = x, y = y)
summary(dataf)
## x y
## Min. : 1.00 Min. : 1.00
## 1st Qu.: 3.25 1st Qu.: 3.25
## Median : 5.50 Median : 5.50
## Mean : 5.50 Mean : 5.50
## 3rd Qu.: 7.75 3rd Qu.: 7.75
## Max. :10.00 Max. :10.00
2. Data Visualisation
Provide evidence of your visualisation techniques and the reason for your choice of visual tools. Provide a description of each visualisation you are presenting. There is no need to show your code.
You can also embed plots, and provide reason for your choice like this:
example: I have used the below visualisation technique because ….
This visualisation shows the following…
3. Findings
Clearly explain your findings and provide a valid conclusion of your analysis. References may be used if required.(max 500 words)