Tick each checkbox as you complete the specified steps sequentially. Save the co
Tick each checkbox as you complete the specified steps sequentially. Save the completed Tableau packaged workbook file (.twbx) with all calculated fields and the trend chart as shown below.
Go to analysis-create calculated field to create the calculation field.
All the information aboutt the project on the attached PDF File. Please read the
All the information aboutt the project on the attached PDF File. Please read them carefully. Thank you
Wearables and remote patient health monitoring is becoming more prevalent. Pleas
Wearables and remote patient health monitoring is becoming more prevalent. Please read the following articles to learn about them:
Reaching the Healthcare Mainstream: Wearables and Remote Patient Monitoring Market Map
Remote health monitoring systems and assistive technologies in China
This Startup Spots Stress in Real-Time to Help Prevent Depression and Other Conditions
Using consumer-wearable technology for remote assessment of physiological response to stress in the naturalistic environment
A healthcare provider is examining a proposal to invest in this area. Such an infrastructure requires many different systems, technologies, and products from many companies: from the wearable monitoring devices to IT and analytics systems that integrates manages the information. You are hired as an IT and data analytics expert to advise them about the technology, systems, and services. Apply what you have learned in this course and describes what would be needed to put together such service. Write a 5-page (plus 1-page cover page) report APA-formatted and address the following:What is the information flow and value chain? Apply the Porter Model and assess the competitive strength of each of the information value chain.
What systems are involved in the end-to-end service?
What components should be bought, developed internally, or outsources?
What are the technical and business challenges?
For each of the segments of the information flow and value chain, identify 3 vendors that can be key players and justify your answers. (Why are they critical?)Will use Turnitin to check for plagiarism. Read the four pieces of information first, and you can find and add other information. Complete a paper of about 1,000 words as required, concisely and clearly.
General Instructions
You are expected to do a final project in this course and u
General Instructions
You are expected to do a final project in this course and utilize the tools we learned on your interests’ qualifying dataset. Your project should include using at least one of the tools we learned in this course, including, but not limited to, Hive, Impala, MapReduce, Spark, or a combination of these tools. Use bash coding in the initial steps to massage your data before feeding it into the Hadoop. The final project consists of two parts: 1- Presentation 2- Report.
Please be creative.
Find cool results and use appropriate (simultaneously cool) graphs and techniques.
For visualization, you can use Tableau to visualize and draw shiny plots. You can also make online WordCloud plots using this Links to an external site. website. It is free! Try it.
1. Final presentation
You should prepare to present your project in about 8 minutes and be ready to have approximately 2 minutes of Q&A. All members of the groups are expected to participate in the presentation.
1.1. Presentation format
Apart from your group name, what else does the presentation include?
1- Description of the data, 2- Problem Statement, 3- Why is this big data? 4- Method & Results, and 5- Conclusion.
1- Description of the data:
Let us know what the data is. When has it been collected? Who did collect it? What is the source? How large is your data? Do you have any links to the data? How many records does it have? How many features (columns)? Structured or Unstructured? ,…
2- Problem Statement
What are you trying to do? What is your aim? What are your research questions?
3- Why is this big data?
What is the reason that you did select this data? Why is it big data?
4- Method & Results:
What methods did you use? Are you using any Hadoop tools? What are your findings? Any plot? Graph?
5- Conclusion
Please go ahead and finish your findings, and let us know if you have any suggestions regarding the data. For example, machine 12 has too many issues, so it is better to investigate the machine.
1.2 Grading Rubric for Presentation
Each member’s presentation rubric includes the following:
a) Presentation skills (on-time, clear presentation, narration, your PowerPoint style, etc.) 7pts
b) Project introduction 3pts
c) Problem Statement 3pts
d) Dataset 3pts (how big is your dataset? What is it about? Why is it big data? rows? columns? when collected?…)
e) Methods 5pt
f) Conclusion 5pt
g) Novelty & Creativity 7pts (Being creative in your findings and results. Having a novel method and dataset)
h) Participation 7pt
Each team member will evaluate the other team members in this part. There will be a questionnaire in which you can give points to your teammates (not yourself). I’ll send the questionnaire a few days before the presentations. By default, I assume each member gets the total points; otherwise, I’ll look at the given grades.
2. Report
Please discuss your project in detail & hand over a clean, professional, neat report. Your report must include an executive summary (learn how to write an executive summary) plus all sections discussed in the presentation (Description of the data, Problem Statement, Why this is big data, Method and results, and Conclusion) and your code in the appendix. Reports are limited to up to 10 pages (excluding appendices). Notes on the final project report:
2.1 Grading Rubric for Report
a) Professional report skills (clean, on order with clear grammar, having front page, page number .. ) 10 pt
b) Executive summary 10 pt
c) Introduction & Problem Statement 5 pt
d) Code and Dataset 5 pt (how big is your dataset? What is it about? Why is it big data? …)
e) Methods 5 pt
f) Conclusion 5 pt
Everyone is expected to cooperate positively with the team. Remember that your group members assign 7 points to your presentation. If a member does not work toward the project, 1- all project points will be deducted. 2- The case will be reported to the school for further action.
3. Dataset
You bring your dataset. Your data should be large enough to be qualified for Big Data! (minimum 500 MB) and not so large to fill the server space (maximum 2 GB ). There are many sources from which you can get a dataset. Here, I’m introducing some sources to get a dataset and work on:
KaggleLinks to an external site.
noaa.govLinks to an external site.
Weather.comLinks to an external site.
,…
You may check with me and discuss if your dataset qualifies for this project.
so total i need 3 things, one report and one PPT and a text of speech of this PPT and each paragraph have to makt to which page of ppt
THIS QUESTION HAS TO BE COMPLETED WITH IBM SPSS STATISTICAL SOFTWARE
Instructio
THIS QUESTION HAS TO BE COMPLETED WITH IBM SPSS STATISTICAL SOFTWARE
Instructions
See attached for instructions and everyone will receive a unique data set toward the middle of the semester.
This assignment will demonstrate your understanding of the following learning objectives:
Objective 1: Basic concepts of multivariate analysis, and a structured approach to model building.
Objective 2: Preparation of data for multivariate analysis (Data examination and Factor Analysis).
Objective 3: Multivariate techniques: (Multiple Regression and Multiple Analysis of Variance)
Objective 4: Written reporting of research results.
Project contiunation:
Report accomplishments on each of the following steps of y
Project contiunation:
Report accomplishments on each of the following steps of your project in a Word document:
Identify the best technology to conduct data conversion, data cleaning, and data munging. Apply those techniques to your selected dataset and produce a single merged dataset for further analysis.
Identify the research question/or a broader goal and what characteristics (variables) you will need to study.
Identify the need or a potential for a need in distributed computing in order to store, manipulate, or analyze data.
Conduct the preliminary analysis by running one of the data mining techniques (e.g. clustering, or regression).
Interpret and report the preliminary results of the analysis (Unit 7, Sunday 11:59 pm). Use an appropriate format (e.g. tables, charts) to report the results of the analysis; writing must include results-based response to the research question.
Use week 4 spreasheet, project, graph as a guide.
MUST HAVE IBM SPSS STATISTICAL SOFTWARE TO COMPLETE THIS ASSIGNMENT
Instruction
MUST HAVE IBM SPSS STATISTICAL SOFTWARE TO COMPLETE THIS ASSIGNMENT
Instructions
See attached for instructions and everyone will receive a unique data set toward the middle of the semester.
This assignment will demonstrate your understanding of the following learning objectives:
Objective 1: Basic concepts of multivariate analysis, and a structured approach to model building.
Objective 2: Preparation of data for multivariate analysis (Data examination and Factor Analysis).
Objective 3: Multivariate techniques: (Multiple Regression and Multiple Analysis of Variance)
Objective 4: Written reporting of research results.
Project contiunation:
Report accomplishments on each of the following steps of y
Project contiunation:
Report accomplishments on each of the following steps of your project in a Word document:
Identify the best technology to conduct data conversion, data cleaning, and data munging. Apply those techniques to your selected dataset and produce a single merged dataset for further analysis.
Identify the research question/or a broader goal and what characteristics (variables) you will need to study.
Identify the need or a potential for a need in distributed computing in order to store, manipulate, or analyze data.
Conduct the preliminary analysis by running one of the data mining techniques (e.g. clustering, or regression).
Interpret and report the preliminary results of the analysis (Unit 7, Sunday 11:59 pm). Use an appropriate format (e.g. tables, charts) to report the results of the analysis; writing must include results-based response to the research question.
Use week 4 spreasheet, project, graph as a guide.
Must have SSPS statistical software to complete projects
seeattached for instruc
Must have SSPS statistical software to complete projects
seeattached for instructions and everyone will receive a unique data set toward the middle of the semester.
Email must be provided so i can send over data studypool will not allow me to send over ssps files as attachment
This assignment will demonstrate your understanding of the following learning objectives:
Objective 1: Basic concepts of multivariate analysis, and a structured approach to model building.
Objective 2: Preparation of data for multivariate analysis (Data examination and Factor Analysis).
Objective 3: Multivariate techniques: (Multiple Regression and Multiple Analysis of Variance)
Objective 4: Written reporting of research results.
Finish only this part of the project:
Introduction
Briefly introduce the con
Finish only this part of the project:
Introduction
Briefly introduce the context and business mandate that led to the project.
Provide an overview of the experiment’s goals and objectives.