FIT5141 Assignment 3 Supplementary - Semester XXXXXXXXXX Assignment 3 FIT5141 Semester 1, 2019 1 FIT5141 - Assignment 3 Supplementary – Semester 2 2019 Data Analysis and Decision Support The...

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It has to be done in R


FIT5141 Assignment 3 Supplementary - Semester 2 - 2019 Assignment 3 FIT5141 Semester 1, 2019 1 FIT5141 - Assignment 3 Supplementary – Semester 2 2019 Data Analysis and Decision Support The assignment should be submitted in two parts and there are separate links for submission of the report and the implementation materials. Part B: Report Submitted to Turnitin Part A: Submit 3 files in a zip archive into the separate non-Turnitin submission link. The zip file should include: A. The R script as a .R file B. The CSV file exported from R with the results of the analysis to be visualised in Tableau C. A tableau packaged workbook (.twbx) which is exported in a two step process 1. Right clock on the data source in Tableau and select “Extract Data..” a. Save the extracted Tableau data file (a .tde file) in the same directory as your main Tableau file. See scree shot. 2. Select File Menu and select “Export Packaged Workbook…” see screen shot. Assignment 3 FIT5141 Semester 1, 2019 2 Save the .twbx as the final and only file that should be submitted. This incorporates the extracted data and the .tde file saved earlier is no longer needed. FINALLY: Note, the key parts of the assignment to be mindful of Part A: In this part you need to implement an analysis of the dataset you selected to answer your business question. The implementation of the analysis needs to have the following components: • Data stored in MongoDB • Data analysis done in R • Results of analysis must reported as: o Tables produced by R o Charts produced by R, and o Charts produced by Tableau § In order to produce charts using Tableau you will need export any of the data to be plotted into a “.csv” file and then opened with Tableau Part B: Minimal Report outline: • Introduction • Description of the Dataset o Dealing with data format issues (e.g. text to numerical or date issues) o Dealing with missing data and addition or removal of fields. Assignment 3 FIT5141 Semester 1, 2019 3 • The analysis and why it was done (the business question) This must include: o Analysis overview o Summary statistics • Methodology This section should describe why and how the analysis was performed including: o The rational for selecting the particular calculations performed, o The justifications for the data sub-setting choices, o An explanation of the forecasting or optimisation performed, o The type of statistics reported, o The types of charts produced. • Conclusion A summary of how the results of the analysis answer the question. Should include: o Discussion of how the analysis supported the answer to the question o Questions that couldn’t be answered and what could be done in future to answer them o The possible decisions that could be made by the organization as a consequence of the answers received. • [Optional] Appendix: Technical specifics and other data that does not fit naturally in the main document
Answered Same DayOct 14, 2021FIT5141Monash University

Answer To: FIT5141 Assignment 3 Supplementary - Semester XXXXXXXXXX Assignment 3 FIT5141 Semester 1, 2019 1...

Kshitij answered on Oct 22 2021
141 Votes
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Introduction
This project is completely based upon data analysis as well as visualization which is most common and concerned part for all the developers because to understand the data it takes a lot of time and requires good knowledge of tools which can manage the huge amount of data in very less time.. information analytics is that the science of ins
pecting raw facts so as to create conclusions this data. several of the techniques and approaches of facts analytics are automatic into mechanical methods and algorithms that employment over raw statistics for human consumption. information analytics techniques will reveal developments and metrics that will rather be misplaced within the mass of data. This data will then be accustomed optimize approaches to enlarge the essential effectuality of a business or system. information analytics will do masses larger than show bottlenecks in production. gambling firms use information analytics to line reward schedules for gamers that keep the bulk of gamers spirited within the game. Content firms use several of the identical information analytics to take care of you clicking, watching, or re-organizing content to induce the other read or another click.
the style involved in facts analysis entails many exceptional steps:
1. The first step is to make your mind up the info wants or however the facts is sorted. information might to boot be separated by mistreatment age, demographic, income, or gender. information values might to boot be numerical or be divided with the help of class.
2.The 2nd step in data analytics is that the system of assembling it. this could be dead through a spread of sources like computers, on-line sources, cameras, environmental sources, or through personnel.
3.Once the facts is collected, it ought to be equipped thus it is analyzed. Organization might to boot turn up on a computer program or different type of package which will take applied mathematics information.
4.The records is then clean up before analysis. This capability it's clean and checked to confirm there's no duplication or error, which it's not incomplete.
Information analytics is broken down into four primary sorts.
1.Descriptive analytics describes what has occurred over a given amount of your time. Have the wide range of views gone up? Are financial gain superior this month than last?
2. Diagnostic analytics focuses a lot of on why one thing happened. This includes larger various records inputs and a touch of hypothesizing. Did the climate have an effect on brewage sales? Did that fresh advertising and selling campaign affect sales?
3. Predictive analytics strikes to what's possible reaching to occur within the on the point of term. What occurred to sales the remaining time we tend to had a hot summer? what number weather fashions predict a hot summer season this year?
4. Prescriptive analytics suggests a path of action. If the likelihood of a heat summer is measured as a mean of those 5 climate fashions is higher than fifty eight, we tend to should add a night shift to the still and rent an additional tank to extend output.
However, it’s not really as convenient as merely dressing up a diagram to create it seem higher or slapping on the “info” section of Associate in Nursing infographic. Effective records mental image could be a refined reconciliation act between form and performance. The plainest sketch ought to be too boring to capture any note or it create tell a effective point; the foremost attractive mental image might want to totally fail at transference the proper message or it got to speak volumes. the info...
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