Data Exploration and Preparation Case Study - Statistics Assignment Help

Assignment Task

Data exploration and preparation
You have just started working as a data miner/analyst in the Analytics Unit of a company. The Head of the Analytics Unit has brought you a data set [a welcome present ;-))]. The dataset includes two files: a brief description of the attributes and a table with the actual values of these attributes. The Head of the Analytics Unit has mentioned to you that this is some sort of demographic data that a potential client has provided for analysis. The Head of the Analytics Unit would like to have a report with some insights about that data, that he/she could deliver to the client. Your tasks include:
understanding the specifics of the dataset
extracting information about each of the attributes, possible associations between them and other specifics of the dataset.
The tasks in the assignment are specified below.
Datasets
For this dataset, you only have the attribute headings with a brief description of what they mean: Assignment_Attribute-Description.pdf download. Each student is assigned an individual dataset with the actual values of these attributes. Please use the file that is linked to your full name in this zipped file: datasets.zip download.
Tasks
1A. Initial data exploration
Identify the type of the attributes {Row ID, SSL, BATHRM,…….} (nominal, ordinal, interval or ratio). If it's not clear you may need to justify why you choose the type. Please justify why you choose the type.
Identify the values of the summarising properties for the attributes including frequency, location and spread (e.g. value ranges of the attributes, frequency of values, distributions, medians, means, variances, percentiles, etc. - the statistics that have been covered in the lectures and materials given). Note that not all of these summary statistics will make sense for all the attribute types, so use your judgement! Where necessary, use proper visualisations for the corresponding statistics.
Using KNIME or other tools, explore your data set and identify any outliers, clusters of similar instances, "interesting" attributes and specific values of those attributes. Note that you may need to 'temporarily' recode attributes to numeric or from numeric to nominal. In the report include the corresponding snapshots from the tools and explanation of what has been identified there.
Present your findings in the assignment report.
1B. Data preprocessingPerform each of the following data preparation tasks (each task applies to the original data) using your choice of tool:
1. Use the following binning techniques to smooth the values of the PRICE attribute:
equi-width binning
equi-depth binning.
In the assignment report for each of these techniques you need to illustrate your steps. In your Excel workbook file place the results in separate columns in the corresponding spreadsheet. Use your judgement in choosing the appropriate number of bins - and justify this in the report.
2. Use the following techniques to normalise the attribute PRICE:
min-max normalization to transform the values onto the range [0.0-1.0].
z-score normalization to transform the values.
In the assignment report provide explanation about each of the applied techniques. In your Excel workbook file place the results in separate columns in the corresponding spreadsheet.
3. Discretise the PRICE attribute into the following categories: Low=0-50k; Medium=51k-100k; High=101k-1000k; Expensive= 1001k+ , Provide the frequency of each category in your data set.
In the assignment report provide explanation about each of the applied techniques. In your Excel workbook file place the results in a separate column in the corresponding spreadsheet.
4. Binarise the STRUCT_D variable [with values "0" or "1"].
In the assignment report provide explanation about the applied binarisation technique. In your Excel workbook file place the results in separate columns in the corresponding spreadsheet.
1C. Summary
At the end of the report include a summary section in which you summarise your findings. The summary is not a narrative of what you have done, but a condensed informative section of what you have found about the data that you should report to the Head of the Analytics Unit. The summary may include the most important findings (specific characteristics (or values) of some attributes, important information about the distributions, some clusters identified visually that you propose to examine, associations found that should be investigated more rigorously, etc.).
Deliverables and submission information
The deliverables include:
A report, which structure should follow the tasks of the assignment, and
An Excel workbook file with individual spreadsheets for each task (spreadsheets should be labelled according to the task names, for example, "1A"). Each of the results of parts (a) through (d) in task 1B should be presented in a separate spreadsheet (and respectively table in the assignment report).
Report: In the report include a section (starting with a section title) for each of the tasks in this assignment.
Your report will likely be between 20-25 pages in length using 11 or 12 point Times or Arial fonts, including title page and graphs. On average you will require between 15 and 23 hours to complete this assignment.
Use the filename xxxx.pdf or xxxx.doc for the report, where xxxx is your full name and xxxx.xls for the spreadsheet.
 

This Statistics Assignment has been solved by our Statistics Experts at My Uni Paper. Our Assignment Writing Experts are efficient to provide a fresh solution to this question. We are serving more than 10000+Students in Australia, UK & US by helping them to score HD in their academics. Our Experts are well trained to follow all marking rubrics & referencing style.
    
Be it a used or new solution, the quality of the work submitted by our assignment Experts remains unhampered. You may continue to expect the same or even better quality with the used and new assignment solution files respectively. There’s one thing to be noticed that you could choose one between the two and acquire an HD either way. You could choose a new assignment solution file to get yourself an exclusive, plagiarism (with free Turnitin file), expert quality assignment or order an old solution file that was considered worthy of the highest distinction.