Description

Overview and Rationale Being able to ask appropriate questions of data is an important part of the work of data analytics. It is also critical to be able to interpret the results of the analysis. This assignment is intended to familiarize you with the data sets and to get you thinking about key business questions you can ask and answer from this data. This project will help you measure your understandings of basic concepts on analytics. It will help you measure your skills to obtain basic descriptive statistics from a data set. It will help you measure your skills to prepare graphical displays of your data analysis results. It will help you measure your skills on R, R Studio and R Markdown. It will help you measure your skills to apply critical thinking to make meaningful observations of your data analysis results.

The data set is located in file: Midterm_dataset.csv, it contains 1,000 observations about Global Sales of a Store Company. The variables names are self-explanatory. Save the data set inside your ALY2010 R Project/DataSets folder. Open the data set on Excel to perform an initial overview, observe all variables and number of observations. The data contains five numerical variables you will use: Sales, Quantity, Discount, Profit, Shipping Cost. Important: Use Excel Only to observe your data, be very careful of not introducing changes to the data set.

1. Open the ALY2010 R Project you created in R Studio. If you need a review, observe file: M1_3 R Install, create folder and project.ppt. 

2. Create a new R Markdown file. Name the file: Midterm_mylastname.Rmd If you need a review, observe file: R Markdown Introduction.ppt. 

3. If you followed my instructions at the beginning of the class, you should be able to access the DataSets folder from the Files tab. If you need a review, observe again file: M1_3 R Install, create folder and project.ppt. 

4. On the R Markdown file, create a first {r, include=FALSE} R chunk to introduce the codes for all libraries you use. Do not include install packages codes. If you need to install packages, do it directly on theconsole. 

5. On the R Markdown file, create a second {r, include=FALSE} R chunk and include the codes used to import the data set into your R Markdown. Use the strategy I taught you and copy the code before clicking “Import.” Paste that code inside the R chunk. If you need a review, observe file: R Import data sets_ALY2010.ppt. Change the name of the data set to: GobalSales, 

6. Now you are ready to start working with your data set.

Instruction Files