The project question is included in the files. Essentially I need 3 plots and 3 tables to describe why people are leaving the company.
paper-structure.dvi 1 Structure for Mid-Term Data Analysis Project Report The data analysis report is specifically for the client and should address the challenges faced by the client. It would be best not to look at this report as a term paper in a class or a report about a subject. This document is meant, primarily, to start an organized conversation between you and your client. Such a report also needs to be provided to your higher-ups when you join an organization. The document should have the following structure. 1. Introduction. The introductions should include • Description of the problem. What substantive question are you trying to address? • Summary of the study and data and any relevant substantive context, background, or framing issues. • The “big questions” answered by your data analyses and summaries of your conclusions about these questions. • A brief outline of the remainder of the paper. 2. Data and exploratory analysis done. Divide the section into the following categories. – Data – Methods – Analysis – Results For every analysis, start with a question you want to address, and provide a detailed response using data, methods used, and finally, the results. 3. Conclusion(s)/Discussion. The conclusion should reprise the questions and conclusions of the introduction, augmented by some additional observations or details gleaned from the analysis section. New questions, future work, etc., can also be provided in this section. 4. Appendix/Appendices. This is the section where you will provide detailed information on the following. - Detailed tables from the R output - Plots from R output - R commands Timelines • 02/28 - Instructions provided for mid-term project. • 03/19 - Students to upload the initial version of the project. • 03/24 - Writing TA (Kelly Evans) and I will provide feedback on the writing part of the project. 2 At this stage your R commands or coding standard will not be evaluated. • 03/28 – Submit the final version of the mid-term project Grading Guidelines • Summary - Use group_by and provide summary - 3 summaries (15pts). A minimum of 3 summaries need to be provided. • Visualization - Use 3 different visualizations (15 pts). A minimum of 3 summaries need to be provided. • Coding Standards followed, Knit documents (10 pts) – Comments need to be provided for each chunk of the code. The code should run properly without any error. Final output should be at least 90% similar to what is knitted from the R Markdown file. You can do some post-hoc formatting of the word document after knitting it from the R Markdown file. • 6 questions and related analysis - 4 pts each (24 pts) – Detailed exploratory analysis and rationale of the analyses. • Followed template - (6 pts) – You should follow the template in your final report • Recommendation, conclusion, and overall writing quality (10 pts) Mid-Term Data Analysis Project Template Mid-Term Data Analysis Project Template Student Name 03/28/2021 Structure for Mid-Term Data Analysis Project Report The data analysis report is specifically for the client, and should address the challenges faced by the client. You should not look at this report as a term paper in a class or a report about a subject. This document is meant, primarily, to start an organized conversation between you and your client. The document should have the following structure. 1. Introduction. The introductions should include · Describe the problem. What substantive question are you trying to address? · Summary of the study and data, as well as any relevant substantive context, background, or framing issues. · The “big questions” answered by your data analyses, and summaries of your conclusions about these questions. · Brief outline of remainder of paper. 2. Data and Model Divide the section into the following categories. · Data · Methods · Analysis · Results For every analysis, start with a question you want to address, and provide a detailed response using data, methods used, and finally the results. 3. Conclusion(s)/Discussion. The conclusion should reprise the questions and conclusions of the introduction, augmented by some additional observations or details gleaned from the analysis section. New questions, future work, etc., can also be provided in this section. 4. Appendix/Appendices. This is the section, where you will provide the detailed information on the following. · Detailed tables from the R output · Plots from R output · R commands Remove the following set of code before your generate the file R Markdown This is an R Markdown document. Markdown is a simple formatting syntax for authoring HTML, PDF, and MS Word documents. For more details on using R Markdown see http://rmarkdown.rstudio.com. Click the dropdown button along with the Knit icon and choose Knit to word. A word document will be generated that includes both content as well as the output of any embedded R code chunks within the document. You are expected to generate R You can embed an R code chunk like this: cars ## speed dist ## 1 4 2 ## 2 4 10 ## 3 7 4 ## 4 7 22 ## 5 8 16 ## 6 9 10 ## 7 10 18 ## 8 10 26 ## 9 10 34 ## 10 11 17 ## 11 11 28 ## 12 12 14 ## 13 12 20 ## 14 12 24 ## 15 12 28 ## 16 13 26 ## 17 13 34 ## 18 13 34 ## 19 13 46 ## 20 14 26 ## 21 14 36 ## 22 14 60 ## 23 14 80 ## 24 15 20 ## 25 15 26 ## 26 15 54 ## 27 16 32 ## 28 16 40 ## 29 17 32 ## 30 17 40 ## 31 17 50 ## 32 18 42 ## 33 18 56 ## 34 18 76 ## 35 18 84 ## 36 19 36 ## 37 19 46 ## 38 19 68 ## 39 20 32 ## 40 20 48 ## 41 20 52 ## 42 20 56 ## 43 20 64 ## 44 22 66 ## 45 23 54 ## 46 24 70 ## 47 24 92 ## 48 24 93 ## 49 24 120 ## 50 25 85 summary(cars) ## speed dist ## Min. : 4.0 Min. : 2.00 ## 1st Qu.:12.0 1st Qu.: 26.00 ## Median :15.0 Median : 36.00 ## Mean :15.4 Mean : 42.98 ## 3rd Qu.:19.0 3rd Qu.: 56.00 ## Max. :25.0 Max. :120.00 Including Plots You can also embed plots, for example: Note that the echo = FALSE parameter was added to the code chunk to prevent printing of the R code that generated the plot. R Cheatsheet for Markdown Is available in the following link. https://rstudio.com/wp-content/uploads/2016/03/rmarkdown-cheatsheet-2.0.pdf For example to generate headers, use Header1 Header 2 Header 3 Header 4 Header 5 Header 6 · unordered list · sub-item 1 · sub-item 2 · sub-sub-item 1 italics and bold bold with italics — End of Instructions —