Hide Assignment Information
In the Content for Module 10, you will find a folder with case study descriptions and data files. Select one case study as the basis for your final report.
Evaluate the data file and decide how best to analyze the data based on the scenario provided. Conduct the analysis by running three data mining strategies that produce defendable and significant results. The strategies you choose will depend on the type of information provided in the chosen data set. Choose from the strategies you have learned throughout the year, which may include:
Descriptive data exploration and aggregation (including pivot tables, histograms, and scatter plots)
Sampling
Hypothesis testing
ANOVA
Regression analysis
Time series analysis
Optimization
Clustering
Classification
Using the results of each of the three analyses, select and produce at least three MS Excel visualizations that show the significance of the results. Make sure that:
At least one visual is from Excel
At least one visual is from Tableau Public
The analyses, the results, and the related visualizations are to be used to produce a persuasive argument in the form of an 8-10 page report that will describe any recommended actions to fully address the problems described in the initial scenario. Use APA formatting.
Hide Assignment Information
In the Content for Module 10, you will find a folder with case study descriptions and data files. Select one case study as the basis for your final report.
Evaluate the data file and decide how best to analyze the data based on the scenario provided. Conduct the analysis by running three data mining strategies that produce defendable and significant results. The strategies you choose will depend on the type of information provided in the chosen data set. Choose from the strategies you have learned throughout the year, which may include:
Descriptive data exploration and aggregation (including pivot tables, histograms, and scatter plots)
Sampling
Hypothesis testing
ANOVA
Regression analysis
Time series analysis
Optimization
Clustering
Classification
Using the results of each of the three analyses, select and produce at least three MS Excel visualizations that show the significance of the results. Make sure that:
At least one visual is from Excel
At least one visual is from Tableau Public
The analyses, the results, and the related visualizations are to be used to produce a persuasive argument in the form of an 8-10 page report that will describe any recommended actions to fully address the problems described in the initial scenario. Use APA formatting.
Case Study 1: Stroke Patient Prediction
Context
According to the World Health Organization (WHO) stroke is the 2nd leading cause of death globally, responsible for approximately 11% of total deaths.
This dataset is used to predict whether a patient is likely to get stroke based on the input parameters like gender, age, various diseases, and smoking status. Each row in the data provides relavant information about the patient.
Attribute Information
id: unique identifier
gender: “Male”, “Female” or “Other”
age: age of the patient
hypertension: 0 if the patient doesn’t have hypertension, 1 if the patient has hypertension
heart_disease: 0 if the patient doesn’t have any heart diseases, 1 if the patient has a heart disease
ever_married: “No” or “Yes”
work_type: “children”, “Govt_jov”, “Never_worked”, “Private” or “Self-employed”
Residence_type: “Rural” or “Urban”
avg_glucose_level: average glucose level in blood
bmi: body mass index
smoking_status: “formerly smoked”, “never smoked”, “smokes” or “Unknown”*
stroke: 1 if the patient had a stroke or 0 if not
*Note: “Unknown” in smoking_status means that the information is unavailable for this patient
Acknowledgements
(Confidential Source) – Use only for educational purposes
Click here to access healthcare-dataset-stroke-data.xlsCase Study 1: Stroke Patient Prediction
Context
According to the World Health Organization (WHO) stroke is the 2nd leading cause of death globally, responsible for approximately 11% of total deaths.
This dataset is used to predict whether a patient is likely to get stroke based on the input parameters like gender, age, various diseases, and smoking status. Each row in the data provides relavant information about the patient.
Attribute Information
id: unique identifier
gender: “Male”, “Female” or “Other”
age: age of the patient
hypertension: 0 if the patient doesn’t have hypertension, 1 if the patient has hypertension
heart_disease: 0 if the patient doesn’t have any heart diseases, 1 if the patient has a heart disease
ever_married: “No” or “Yes”
work_type: “children”, “Govt_jov”, “Never_worked”, “Private” or “Self-employed”
Residence_type: “Rural” or “Urban”
avg_glucose_level: average glucose level in blood
bmi: body mass index
smoking_status: “formerly smoked”, “never smoked”, “smokes” or “Unknown”*
stroke: 1 if the patient had a stroke or 0 if not
*Note: “Unknown” in smoking_status means that the information is unavailable for this patient
Acknowledgements
(Confidential Source) – Use only for educational purposes
Click here to access healthcare-dataset-stroke-data.xls
Our Story
Homework Merchants is the premier online academic writing service provider for students of all levels. With highly experienced and qualified writers from Ivy League universities, we guarantee top-notch quality that meets your exact specifications and requirements.
At Homework Merchants, you can find help with any kind of academic task – be it an essay, dissertation or assignment. Whatever the deadline may be, our writers are able to provide timely and accurate results at affordable prices. We also offer editing services, where we review your work after submission to make sure no mistakes have been made in the process of writing.
Our commitment to excellence has enabled us to provide successful results in a variety of disciplines such as business studies, history, psychology and computer science amongst others. With our team of professional editors who review every written piece before submission; rest assured that getting an A+ grade is within your reach!
We believe that having access to high caliber experts makes completing homework tasks easier than ever before! Our team consists mainly of PhD holders from renowned institutions including Harvard University and Yale University who are well-informed about their respective fields and have many years experience helping students achieve success on their assignments. Our customized approach ensures maximum satisfaction for clients by providing them with personalized solutions tailored specifically for their needs – giving them more time to focus on other aspects of academia such as research projects or extra credit activities without worrying about cramming during exam season!
In addition to this, our secure payment system helps keep sensitive information safe while transactions take place quickly; ensuring convenience & safety at all times when using our services! So why wait? Get started today & give yourself a chance towards earning better grades right away with Homework Merchants!