Write an investigative report that focuses on the use of data visualisation techniques for advanced data...
Fantastic news! We've Found the answer you've been seeking!
Question:
Transcribed Image Text:
Write an investigative report that focuses on the use of data visualisation techniques for advanced data analysis. The report should cover the following aspects: 1. Introduction: a. Provide an introduction to the importance and significance of data visualisation in advanced data analysis. b. Explain the role of data visualisation in gaining insights, identifying patterns, and making informed decisions. 2. Theoretical Foundations: a. Discuss the theoretical foundations and principles of data visualisation, including perception, cognition, and visual encoding. b. Explore the latest research and advancements in data visualisation theory and their implications for practical applications. 3. Data Visualisation Techniques in R: a. Investigate and analyse various advanced data visualisation techniques available in R, such as but not limited to, interactive visualisations, geospatial visualisations, network visualisations, and time series visualisations. b. Evaluate the strengths, limitations, and considerations for each technique and their applicability to different data analysis scenarios. 4. Design Principles and Best Practices: a. Explore the design principles and best practices for creating effective and engaging data visualisations. b. Discuss the role of colour, layout, typography, and interactivity in enhancing the visual representation and user experience. c. Analyse real-world examples of well-designed data visualisations and extract insights from their design choices. design 5. Data Preparation and Wrangling for Visualisation: a. Investigate advanced data preparation and wrangling techniques in R to optimise data for visualisation purposes. b. Explore strategies for handling missing data, outliers, and data transformations to improve the effectiveness and accuracy of visual representations. 6. Interactive Visualisations and Dashboards: a. Investigate the creation of interactive visualisations and dashboards using R tools and libraries, such as but not limited to, Shiny and Plotly. b. Analyse the benefits and challenges of interactive visualisations in data exploration, analysis, and communication. 7. Case Study Examples: a. Include at least two in-depth case study examples that demonstrate the application of advanced data visualisation techniques using R in complex data analysis scenarios. b. Describe the datasets, the visualisation techniques used, the analytical process, and the insights gained from each case study. 8. Conclusion: a. Summarise the key findings and insights from the investigation of data visualisation techniques using the R language. b. Reflect on the challenges, opportunities, and future directions in the field of data visualisation. Page 2 KI Kaplan Business School Assessment Outline This assessment aims to achieve the following subject learning outcomes: LO1 Investigate data visualisation techniques using R language. Write an investigative report that focuses on the use of data visualisation techniques for advanced data analysis. The report should cover the following aspects: 1. Introduction: a. Provide an introduction to the importance and significance of data visualisation in advanced data analysis. b. Explain the role of data visualisation in gaining insights, identifying patterns, and making informed decisions. 2. Theoretical Foundations: a. Discuss the theoretical foundations and principles of data visualisation, including perception, cognition, and visual encoding. b. Explore the latest research and advancements in data visualisation theory and their implications for practical applications. 3. Data Visualisation Techniques in R: a. Investigate and analyse various advanced data visualisation techniques available in R, such as but not limited to, interactive visualisations, geospatial visualisations, network visualisations, and time series visualisations. b. Evaluate the strengths, limitations, and considerations for each technique and their applicability to different data analysis scenarios. 4. Design Principles and Best Practices: a. Explore the design principles and best practices for creating effective and engaging data visualisations. b. Discuss the role of colour, layout, typography, and interactivity in enhancing the visual representation and user experience. c. Analyse real-world examples of well-designed data visualisations and extract insights from their design choices. design 5. Data Preparation and Wrangling for Visualisation: a. Investigate advanced data preparation and wrangling techniques in R to optimise data for visualisation purposes. b. Explore strategies for handling missing data, outliers, and data transformations to improve the effectiveness and accuracy of visual representations. 6. Interactive Visualisations and Dashboards: a. Investigate the creation of interactive visualisations and dashboards using R tools and libraries, such as but not limited to, Shiny and Plotly. b. Analyse the benefits and challenges of interactive visualisations in data exploration, analysis, and communication. 7. Case Study Examples: a. Include at least two in-depth case study examples that demonstrate the application of advanced data visualisation techniques using R in complex data analysis scenarios. b. Describe the datasets, the visualisation techniques used, the analytical process, and the insights gained from each case study. 8. Conclusion: a. Summarise the key findings and insights from the investigation of data visualisation techniques using the R language. b. Reflect on the challenges, opportunities, and future directions in the field of data visualisation. Page 2 KI Kaplan Business School Assessment Outline This assessment aims to achieve the following subject learning outcomes: LO1 Investigate data visualisation techniques using R language.
Expert Answer:
Related Book For
Principles of Information Systems
ISBN: 978-0324665284
9th edition
Authors: Ralph M. Stair, George W. Reynolds
Posted Date:
Students also viewed these programming questions
-
Case Study: Quick Fix Dental Practice Technology requirements Application must be built using Visual Studio 2019 or Visual Studio 2017, professional or enterprise. The community edition is not...
-
QUIZ... Let D be a poset and let f : D D be a monotone function. (i) Give the definition of the least pre-fixed point, fix (f), of f. Show that fix (f) is a fixed point of f. [5 marks] (ii) Show that...
-
Dun and Bradstreet have reported that nearly half of all Australian businesses operated with a negative cash flow over recent financial years. This figure is worrying as 80% of business failures are...
-
Several homeowners in a nearby community have organized to protest against alleged gouging on the part of a local lending institution. One resident presents his payment book as evidence. The resident...
-
A coin is tossed twice. Let Z denote the number of heads on the first toss and W the total number of heads on the 2 tosses. If the coin is unbalanced and a head has a 40% chance of occurring, find...
-
Suppose electrons move through a copper wire at speed \(v\). Call the linear charge densities in the Earth reference frame \(\lambda_{E_{p}}\) for the fixed positive ions in the wire and...
-
Jack and Maggie Turton bought a house in Jefferson County, Idaho, located directly across the street from a gravel pit. A few years later, the county converted the pit to a landfill. The landfill...
-
What two different types of firmware may be used on motherboards? a. POST b. UEFI c. CMOS d. BIOS
-
Tax Software Assignment - Fall 2023 Ms. Jeanette Letourneau (SIN 123-456-789) was born in Montreal on December 15, 1979. She has spent most of her working life a song writer but also has a part-time...
-
ECU is planning to construct a new football stadium to hold 50,000 people. The initial cost is $200 million. The university anticipates that this project will bring in 40 million in its first year...
-
Discuss the racial differences found in the crime rate. What factors account for differences in the African American and white crime rates?
-
Is there a transitional neighborhood in your town or city?
-
Is it fair, just, and moral to experiment with a control group of children who are not given a proper diet in order to test the effect of nutrition on delinquency?
-
Should juveniles who commit felonies such as rape or robbery be treated as adults?
-
Discuss the association between child abuse and delinquency. Give two different explanations for the positive relationship between abuse and antisocial behavior.
-
14. Why is corruption more prevalent in poor countries, according to Fisman and Golden?
-
Why is it important to understand the macro-environment when making decisions about an international retail venture?
-
What is a computer-based information system? What are its components?
-
How can text messaging be used to develop MIS reports?
-
Discuss the use of e-commerce to improve spending on manufacturing, repair, and operations (MRO) of goods and services.
-
You are managing the development of a case tracking system project for your large law firm. The requirements phase of the project is almost complete, and preliminary design work has begun. The...
-
At the conclusion of this chapter, the textbook mentions that data and process modeling may eventually become obsolete due to the increasing popularity and usage of object-oriented modeling and...
-
Although data and process models depict the same system with different views, systemi designers must synchronize these different views to make sure that their models are consistent and complete. One...
Study smarter with the SolutionInn App